#Diagnostic Imaging Industry

[vijukumar]

Evolving Landscapes: Navigating the Medical Imaging Market and Diagnostic Imaging Trends

In the dynamic realm of healthcare, the Medical Imaging Market stands at the forefront, revolutionizing diagnostics and patient care. The continuous evolution of diagnostic imaging devices, coupled with cutting-edge technologies, has reshaped the landscape of medical diagnostics. This blog delves into the intricacies of the Medical Imaging Market, exploring trends, key players, and the transformative impact of artificial intelligence.

Diagnostic Imaging Devices Market Overview:

The Diagnostic Imaging Devices Market encompasses a broad spectrum of technologies designed to visualize and diagnose medical conditions. From X-ray machines to advanced MRI and CT scanners, the market is witnessing rapid growth, driven by a surge in demand for accurate and timely diagnostics. The global medical imaging market size was valued at USD 32.3 billion in 2022 and is expected to grow at a compound annual growth rate (CAGR) of 4.8% from 2023 to 2030.

Diagnostic Imaging Market Trends:

Keeping pace with technological advancements, the Diagnostic Imaging Market is witnessing several trends that are reshaping the industry. The integration of artificial intelligence (AI) in diagnostic imaging is a notable trend, enhancing the efficiency and accuracy of medical diagnostics. This amalgamation of technology not only expedites the diagnostic process but also opens new avenues for personalized and targeted treatments.

Diagnostic Imaging Service Market:

The Diagnostic Imaging Service Market plays a pivotal role in ensuring the accessibility and maintenance of diagnostic equipment. As the demand for diagnostic imaging services grows, companies specializing in maintenance, repairs, and upgrades of imaging equipment are becoming integral players in the industry. This segment addresses the need for reliability and longevity of diagnostic devices, ensuring uninterrupted healthcare services.

Diagnostic Imaging Market Size and Share:

The Diagnostic Imaging Market is characterized by its vast size and competitive landscape. With an expanding array of diagnostic imaging solutions, the market is witnessing healthy competition among manufacturers. The market share is distributed among key players, including renowned diagnostic imaging device manufacturers and distributors.

AI in Diagnostic Imaging Market:

Artificial intelligence is making significant inroads into the field of diagnostic imaging. The AI in Diagnostic Imaging Market is gaining momentum, providing innovative solutions for image interpretation, analysis, and decision support. This not only enhances diagnostic accuracy but also contributes to more efficient and cost-effective healthcare delivery.

Conclusion:

In conclusion, the Medical Imaging Market is a dynamic and evolving sector, driven by technological advancements and a growing emphasis on accurate and timely diagnostics. The integration of AI, coupled with the expansion of diagnostic imaging services, is reshaping the industry and improving patient outcomes. As the Diagnostic Imaging Market continues to grow, it underscores the importance of innovation and collaboration in the pursuit of advancing healthcare and diagnostic capabilities.

[healthcare-updates]

Expert Insights: Artificial Intelligence (AI) Automation of Diagnostic Image Acquisition

Author: Reza Forghani, MD, PhD, Prof of Radiology & Artificial Intelligence (AI) and Vice Chair of AI, Director, Radiomics & Augmented Intelligence Laboratory (RAIL), Department of Radiology, University of Florida College of Medicine

The potential of artificial intelligence (AI) to enhance healthcare extends far beyond diagnostic interpretive tasks. One area of great potential is automation of scan acquisition. In radiology, AI is already showing great potential in enhancing and streamlining acquisition of scans such as CT and MRI, aligning quality and cost-efficiency.

Click here for Online Version: Artificial Intelligence (AI) Automation of Diagnostic Image Acquisition Click here for Digital Magazine: Artificial Intelligence (AI) Automation of Diagnostic Image Acquisition

[jcmarchi]

AI enhances breast cancer screening efficiency

New Post has been published on https://thedigitalinsider.com/ai-enhances-breast-cancer-screening-efficiency/

AI enhances breast cancer screening efficiency

A recent study featured in the journal Radiology presents a compelling view on the role of artificial intelligence (AI) in enhancing breast cancer screening.

The study, conducted by researchers from the University of Copenhagen alongside the Capital Region of Denmark’s program, illustrates a notable increase in the detection rates of breast cancer cases coupled with a reduced workload for radiologists.

AI boosts detection and reduces false positives

The research focused on implementing AI in breast cancer screening over nearly three years. It revealed that combining AI and expert breast radiologists significantly improves breast cancer detection rates while simultaneously reducing false positives. This advancement represents a major step forward in medical diagnostics and patient care.

Enhanced screening for Danish women

Denmark offers biennial breast cancer screening for women aged 50 to 69, with continued mammogram services available to those who have undergone breast cancer surgery up until the age of 79.

With the integration of AI, the annual examination of tens of thousands of X-rays has become more efficient. Before AI, radiologists detected 70 cases of breast cancer per 10,000 screenings. With AI, this number has increased to 82 detections per 10,000 screenings, marking an improvement of 12 additional cases detected per 10,000 screenings.

AI finds more small tumors

The study compared two groups of women aged 50 to 69 in Denmark’s Capital Region who underwent mammography screenings. The group screened with the assistance of AI showed not only an increased detection of breast cancer cases but also a higher percentage of small invasive tumors measuring 1 cm or less.

The rate of small tumors detected with AI assistance rose to 44.93%, up from 36.60% before the introduction of AI, highlighting the technology’s ability to enhance early detection and subsequent care.

Reduction in radiologists’ workload

The adoption of AI has led to a significant decrease in workload for radiologists in the Capital Region of Denmark, with a 33.4% reduction reported. Traditionally, radiologists would double-read thousands of X-rays, most of which would turn out normal. With AI’s assistance, the process has become more focused, allowing radiologists to concentrate on screenings that the AI system flags as suspicious.

Despite AI support, the final decision in breast cancer screenings remains in the hands of skilled breast radiologists. In cases where two radiologists disagree, a consensus meeting is held, or a third, more experienced radiologist is consulted to reach a decision. This ensures that the final diagnosis is accurate and reflects expert medical opinion.

The findings from this study demonstrate AI’s effectiveness in medical imaging and suggest a scalable model for other regions and medical conditions where screening plays a crucial role in early detection and treatment.

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[versatile-blogger-1]

Evolving Trends And Strategies In The X-Ray Machine Manufacturing Market

In the dynamic landscape of medical technology, the X-Ray Machine Manufacturing Market is undergoing significant transformations driven by rapid advancements in technology and increasing demand for precise diagnostic equipment. This market plays a pivotal role in the healthcare industry, enabling accurate diagnoses and aiding medical professionals in making informed decisions. As the healthcare sector continues to evolve, so do the trends and strategies within themarket.

1. Technological Innovations Shaping the Market: In recent years, the X-Ray Machine Manufacturing Market has witnessed a surge in technological innovations. Traditional analog X-ray machines are giving way to digital radiography and computed tomography (CT) systems, which offer higher image quality, lower radiation doses, and faster imaging times. Moreover, the integration of artificial intelligence (AI) in X-ray interpretation is revolutionizing diagnostics. AI algorithms can swiftly analyze X-ray images, assisting radiologists in identifying abnormalities with greater accuracy. Manufacturers are investing heavily in research and development to stay at the forefront of these technological advancements, ensuring that their products remain competitive and align with healthcare's growing needs.

2. Focus on Patient Safety and Radiation Reduction: With an increasing emphasis on patient safety, radiation reduction has become a critical concern in the X-Ray Machine Manufacturing Market. Regulatory bodies and healthcare organizations are imposing stricter guidelines on permissible radiation doses. In response, manufacturers are developing X-ray machines that deliver exceptional image quality while minimizing radiation exposure. This trend not only safeguards patients and healthcare professionals but also expands the market's potential applications, such as pediatric and prenatal imaging.

3. Shift towards Portable and Point-of-Care Solutions: Another notable trend in the X-Ray Machine Manufacturing Market is the shift towards portable and point-of-care X-ray solutions. Traditional stationary X-ray machines are being complemented by portable devices that can be used at the patient's bedside or in remote locations. These devices are particularly valuable in emergency situations, where quick and accurate diagnoses are essential. Manufacturers are innovating to create lightweight, user-friendly, and cost-effective portable X-ray machines, addressing the demand for flexible and efficient healthcare solutions.

4. Global Market Expansion and Collaborative Strategies: As the demand for advanced healthcare services grows globally, the market is expanding its footprint across regions. Manufacturers are exploring strategic collaborations, partnerships, and acquisitions to tap into new markets and leverage local expertise. This approach helps them navigate regulatory hurdles, cultural nuances, and market preferences effectively. By forming alliances with distributors, healthcare facilities, and technology providers, manufacturers can ensure a wider reach and better integration of their products into diverse healthcare ecosystems.

In conclusion, the X-Ray Machine Manufacturing Market is experiencing a profound evolution driven by technological advancements, a focus on patient safety, the rise of portable solutions, and global market expansion strategies. Manufacturers who stay attuned to these trends and adapt their strategies accordingly are poised to not only thrive in the market but also contribute to enhancing healthcare outcomes. As the industry continues to push the boundaries of innovation, the future of X-ray machine manufacturing looks promising, with a positive impact on medical diagnostics and patient care.

[tbrcresearchreport]

The global diagnostic imaging services market size is expected to grow from $494.30 billion in 2022 to $517.63 billion in 2023 at a compound annual growth rate (CAGR) of 4.72%.

[usanewsology]

FDA to require mammogram reports include breast density information | CNN

CNN  —  Newly updated US Food and Drug Administration regulations will require mammography facilities to notify patients about the density of their breasts. Women with dense breasts are at higher risk for breast cancer, and dense tissue can make cancer harder to detect in mammograms. Still, few women recognize dense breasts as a significant risk factor for cancer. The FDA update announced…

[materialsscienceandengineering]

X-rays are a common component of diagnostic testing and industrial monitoring, used for everything from monitoring your teeth to scanning your suitcase at the airport. But the high-energy rays also produce ionizing radiation, which can be dangerous after prolonged or excessive exposures. Now, researchers publishing in ACS Central Sciencehave taken a step toward safer X-rays by creating a highly sensitive and foldable detector that produces good quality images with smaller dosages of the rays. "This advancement reduces detection limits and paves the way for safer and more energy-efficient medical imaging and industrial monitoring," says Omar F. Mohammed, the corresponding author on the study. "It demonstrates that cascade-engineered devices enhance the capabilities of single crystals in X-ray detection."

Read more.

[badoccultadvice]

This is not a mystical or spiritual diagram. It does not symbolize any religious beliefs. It is OLD SCIENCE.

I understand if you want to make an inspirational, guru-style, spiritually uplifting (or exploitative) article or video about your mystical beliefs. I'm sure it will be very life-changing for your viewers and they will love it. But I have no idea why you'd use one of these in the thumbnail for it. This is a phrenology head model.

THIS IS OUTDATED BRAIN SCIENCE FROM THE 1800'S AND THE PEOPLE WHO WERE USING IT THOUGHT THEY WERE DOING REAL SCIENCE. FOR REAL.

They were not hooking it up to the zodiac, they were not reading auras, they were not casting spells or manifesting something or whatever. They were not associating it with a spirit or deity or religious act. They were analyzing what they thought was the shape of your brain and how well different areas of the brain that (purportedly) did different things in your life were developed and how well they were functioning. Model phrenology heads were a diagnostic tool for a type of medicine that is no longer practiced. It was a step in the progression towards what eventually became real brain lobe science in modern times. It was also used for eugenics! Anyone who knows what it is will look at your thumbnail and think: "oh boy, they don't even know what this weird science and eugenics tool was actually used for, THAT'S KINDA AWKWARD!"

Oh I know! You're mixing it up with these things, aren't you?

This is a guide for palmistry, a way of reading the lines and marks on your hand to see what's up with you mystically. What's up, danger? What's going down with the planets and the spirits? How your marriage is gonna go and stuff like that. I get that they look similar and that sometimes people photograph them together, but palmistry has never purported to be a science and is a method of divination like aura reading. Stick a palmistry hand in your woo-woo spirit guidance article/video thumbnail, that at least is in the same INDUSTRY as your subject matter.

If you stick a phrenology head on your thumbnail you are saying: "I have no idea what this is actually for, but I think it's kind of mystical-looking and the stock image was free, and I don't actually take any of my subject matter seriously, because this is all a cash cow." And hey! It's a good flag to wave around so that people in the know can avoid your content so, in that case, I guess keep it up!

[trendtrackershq]

𝐃𝐫𝐢𝐯𝐢𝐧𝐠 𝐏𝐫𝐨𝐠𝐫𝐞𝐬𝐬: 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐦𝐞𝐧𝐭𝐬 𝐢𝐧 𝐀𝐧𝐢𝐦𝐚𝐥 𝐓𝐡𝐞𝐫𝐚𝐩𝐞𝐮𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐃𝐢𝐚𝐠𝐧𝐨𝐬𝐭𝐢𝐜𝐬 𝐌𝐚𝐫𝐤𝐞𝐭

As the landscape of animal health continues to evolve, we’re thrilled to see the remarkable advancements in Animal Therapeutics and Diagnostics!

𝐆𝐞𝐭 𝐚 𝐅𝐑𝐄�� 𝐒𝐚𝐦𝐩𝐥���: https://www.nextmsc.com/animal-therapeutics-and-diagnostics-market/request-sample?utm_source=sanyukta-14-may-2024&utm_medium=sanyukta-tumblr&utm_campaign=sanyukta-animal-therapeutics-and-diagnostics-market

𝐃𝐢𝐚𝐠𝐧𝐨𝐬𝐭𝐢𝐜 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧𝐬:

Cutting-edge diagnostic tools are revolutionizing how we understand and address animal health concerns. From rapid testing kits to advanced imaging technologies, these innovations empower veterinarians and researchers to make informed decisions quickly and accurately. By detecting diseases earlier and with greater precision, we're enhancing the well-being of our furry friends and contributing to a healthier world.

𝐓𝐡𝐞𝐫𝐚𝐩𝐞𝐮𝐭𝐢𝐜 𝐁𝐫𝐞𝐚𝐤𝐭𝐡𝐫𝐨𝐮𝐠𝐡𝐬:

The realm of animal therapeutics is witnessing unprecedented breakthroughs, with novel treatments emerging to address a diverse range of conditions. Whether it's targeted therapies for chronic diseases or innovative approaches to pain management, these advancements are improving the quality of life for animals across the globe. It's inspiring to see how science and compassion intersect to create solutions that make a tangible difference.

𝐆𝐥𝐨𝐛𝐚𝐥 𝐈𝐦𝐩𝐚𝐜𝐭:

The impact of these advancements extends far beyond individual animals; it influences entire ecosystems and strengthens the bond between humans and animals. By promoting the health and well-being of our animal companions, we're safeguarding biodiversity, supporting sustainable agriculture, and enhancing public health. Together, we're shaping a brighter future for all living beings.

𝐊𝐞𝐲 𝐏𝐥𝐚𝐲𝐞𝐫𝐬:

The animal therapeutics and diagnostics industry consist of a number of major players including BioNote Inc, Heska Corp, IDEXX Laboratories Inc, IDvet, Randox Laboratories Ltd., SWISSAVANS AG, Teco Diagnostics, Thermo Fisher Scientific Inc., Virbac SA, Zoetis Inc., Thermo Fisher Scientific, Inc., bioMérieux S.A., Zoetis Inc., Bio-Rad Laboratories, Inc., Medical Bioscience GMBH, and Agrolabo SpA

Let's continue to champion innovation, collaboration, and compassion in the field of Animal Therapeutics and Diagnostics!

Together, we can create a world where every animal receives the care and attention it deserves.

[jcsmicasereports]

Trends in incidence of COVID 19 based on performed Rapid Antigen Test by Piratheep kumar.R in Journal of Clinical Case Reports Medical Images and Health Sciences

Abstract

The COVID 19 outbreak represents a historically unprecedented pandemic, particularly dangerous and potentially lethal for elderly population. The biological differences in the immune systems between men and women exist which may impact our ability to fight an infection including SARS-2-CoV-2. Men tended to develop more symptomatic and serious disease than women, according to the clinical classification of severity. Age-related changes in the immune system are also different between sexes and there is a marked association between morbidity/mortality and advanced age in COVID-19. This is a single-center, retrospective, data oriented study performed at the private hospital, in Central Province, Sri Lanka. The data of the patients who performed the Rapid Antigen Test (RAT) to know whether they have infected by SARS-CoV-2 or not, were taken for analysis. Test performed date, age, sex, number of positive and negative cases, number of male and female patients were extracted. Finally the data were analyzed in simple statistical method according to the objective of the study. Totally 642 patients performed RAT within the period of one month from 11.08.2021 to 11.09.2021. Among them 426 (66.35%) are male and 216 (33.64%) are female. 20.4% (n=131) of male obtained positive result among the total male population (n=426). Likewise 11.4% (n=73) of female obtained positive result among the total male population (n=216).  Large number of positive cases was observed (34.89%) between the age group of 31-40 years in both sexes. The age group of 21-30 and 41-50 years also were shared the almost same percentage (17.13% & 17.75). The large number of positive male patients observed among the age group of 41-50 years. Almost same number of patients was observed in the age group of 21-30 and 31-40. The least number of positive cases (0.7% and 0.9%) observed almost in 0-10 and 81-90 years. When considering the females, large number of positive female patients observed among the age group of 31-40 years.

Key words: Rapid Antigen Test, Covid-19, SARS-CoV-2

Introduction

A rapid antigen test (RAT) or rapid antigen detection test (RADT), is a rapid diagnostic test suitable for point-of-care testing that directly detects the presence of an antigen. It is used to detect SARS-CoV-2 that cause COVID-19. This test is one of the type of lateral flow tests that detect protein, differentiate it from other medical tests such as antibody tests or nucleic acid tests, of either laboratory or point-of-care types. Generally 5 to 30 minutes only will take to get result and, require minimal training or infrastructure, and cost effective (1).

Sri Lanka was extremely vulnerable to the spread of COVID-19 because of its thriving tourism industry and large expatriate population. Sri Lanka almost managed two waves of Covid-19 pandemic well, but has been facing difficulties to control the third wave. The Sri Lankan government has executed stern actions to control the disease including island-wide travel restrictions. The government has been working with its development partners to take necessary action to mobilize resources to respond to the health and economic challenges posed by the pandemic (2) (3).

The COVID 19 outbreak is dangerous and fatal for elderly population. Since the beginning of the actual SARS-CoV-2 outbreak there were an evident that older people were at higher risk to get the infection and develop a more severe with bad prognosis. The mean age of patients that died was 80 years. The majority of those who are infected, that have a self-limiting infection and do recover are younger. On the other hand, those who suffer with more severe disease require intensive care unit admission and finally pass away are older (4).

Sandoval.  M., et al mentioned that the number of patients who are affected by SARS-CoV-2 with more than 80 years of age is similar to that with 65–79 years. The mortality rate in very elderly was 37.5% and this percentage was significantly higher compared to that observed in elderly. Further their findings were suggested that the age is a fundamental risk factor for mortality (5).

Since February 2020, more than 27.7 million people in US have been diagnosed with Covid-19 (6). Rates of COVID-19 deaths have increased across the Southern US, among the Hispanic population, and among adults aged 25–44 years (7). Young adults are at increased risk of SARS-CoV-2 because of exposure in work, academic, and social settings. According to the several database of different health organizations young adult, aged 18-29, were confirmed Coid-19 (9).

Go to:Amid of coronavirus disease 2019 (Covid-19) pandemic, much emphasis was initially placed on the elderly or those who have preexisting health conditions such as obesity, hypertension, and diabetes as being at high risk of contracting and/or dying of Covid-19. But it is now becoming clear that being male is also a factor. The epidemiological findings reported across different parts of the world indicated higher morbidity and mortality in males than females. While it is still too early to determine why the gender gap is emerging, this article point to several possible factors such as higher expression of angiotensin-converting enzyme-2 (ACE 2; receptors for coronavirus) in male than female, sex-based immunological differences driven by sex hormone and X chromosome. Furthermore, a large part of this difference in number of deaths is caused by gender behavior (lifestyle), i.e., higher levels of smoking and drinking among men compared to women. Lastly, studies reported that women had more responsible attitude toward the Covid-19 pandemic than men. Irresponsible attitude among men reversibly affect their undertaking of preventive measures such as frequent handwashing, wearing of face mask, and stay at home orders.

The latest immunological study on the receptors for SARS-CoV-2 suggest that ACE2 receptors are responsible for SARS-CoV-2. According to the study by Lu and colleagues there are positive correlation of ACE2 expression and the infection of SARS-CoV (10). Based on the positive correlation between ACE 2 and coronavirus, different studies quantified the expression of ACE 2 proteins in human cells based on gender ethnicity and a study on the expression level and pattern of human ACE 2 using a single-cell RNA-sequencing analysis indicated that Asian males had higher expression of ACE 2 than female (11). Conversely, in establishing the expression of ACE 2 in the primary affected organ, a study conducted in Chinese population found that expression of ACE 2 in human lungs was extremely expressed in Asian male than female (12).

A study by Karnam and colleagues reveled that CD200-CD200R and sex are host factors that together determine the outcome of viral infection. Further a review on association between sex differences in immune responses stated that sex-based immunological differences contribute to variations in the susceptibility to infectious diseases and responses to vaccines in males and females (13). The concept of sex-based immunological differences driven by sex hormone and X chromosome has been well demonstrated via the animal study by Elgendy et al (14) (35). They were concluded the study that estrogen played big role in blocking some viral infection.

The biological differences in the immune systems between men and women may cause impact on fight for infection. Females are more resistant to infections than men and which mediated by certain factors including sex hormones. Further, women have more responsible attitude toward the Covid-19 pandemic than men such as frequent hand washing, wearing of face mask, and stay at home (15).

Most of the studies with Covid-19 patients indicate that males are mostly (more than 50%) affected than females (16) (17) (18). Although the deceased patients were significantly older than the patients who survived COVID-19, ages were comparable between males and females in both the deceased and the patients who survived (18).

A report in The Lancet and Global Health 5050 summary showed that sex-disaggregated data are essential to understanding the distribution of risk, infection and disease in the population, and the extent to which sex and gender affect clinical outcomes (19). The degree of outbreaks which affect men and women in different ways is an important to design the effective equitable policies and interventions (20). A systematic review and meta-analysis conducted to assess the sex difference in acquiring COVID-19 with 57 studies that revealed that the pooled prevalence of COVID-19 confirmed cases among men and women was 55% and 45% respectively (21). A study in Ontario, Canada showed that men were more likely to test positive (22) (23). In Pakistan 72% of COVID-19 cases were male (24). Moreover, the Global Health 5050 data showed that the number of COVID-19 confirmed cases and the death rate due to the disease are high among men in different countries. This might be because behavioral factors and roles which increase the risk of acquiring COVID-19 for men than women. (25) (26) (27).

Men mostly involved in several activities such as alcohol consumption, being involved in key activities during burial rites, and working in basic sectors and occupations that require them to continue being active, to work outside their homes and to interact with other people even during the containment phase. Therefore, men have increased level of exposure and high risk of getting COVID-19 (28) (29) (30).

Men tended to develop more symptomatic and serious disease than women, according to the clinical classification of severity (31). The same incidence also noticed during the previous coronavirus epidemics. Biological sex variation is said to be one of the reasons for the sex discrepancy in COVID-19 cases, severity and mortality (32) (33). Women are in general able to stand a strong immune response to infections and vaccinations (34).

The X chromosome is known to contain the largest number of immune-related genes in the whole genome. With their XX chromosome, women have a double copy of key immune genes compared with a single copy in XY in men. This showed that the reaction against infection would be contain both innate and adaptive immune response. Therefore the immune systems of females are generally more responsive than females and it indirectly reflects that women are able to challenge the coronavirus more effectively but this has not been proven (32).

Sex differences in the prevalence and outcomes of infectious diseases occur at all ages, with an overall higher burden of bacterial, viral, fungal and parasitic infections in human males (36) (37) (38) (39). The Hong Kong SARS-CoV-1 epidemic showed an age-adjusted relative mortality risk ratio of 1.62 (95% CI = 1.21, 2.16) for males (40). During the same outbreak in Singapore, male sex was associated with an odds ratio of 3.10 (95% CI = 1.64, 5.87; p ≤ 0.001) for ITU admission or death (41). The Saudi Arabian MERS outbreak in 2013 - 2014 exhibited a case fatality rate of 52% in men and 23% in women (42). Sex differences in both the innate and adaptive immune system have been previously reported and may account for the female advantage in COVID-19. Within the adaptive immune system, females have higher numbers of CD4+ T (43) (44) (45) (46) (47) (48) cells, more robust CD8+ T cell cytotoxic activity (49), and increased B cell production of immunoglobulin compared to males (43) (50). Female B cells also produce more antigen-specific IgG in response to TIV (51).

Age-related changes in the immune system are also different between sexes and there is a marked association between morbidity/mortality and advanced age in COVID-19 (52). For example, males show an age-related decline in B cells and a trend towards accelerated immune ageing. This may further contribute to the sex bias seen in COVID-19 (53).

Hence, this single center, retrospective, data oriented study performed to identify the gender age influences the RAT results and the rate of positive cases before and after the lockdown.

Methodology

This is a single-center, retrospective, data oriented study performed at the private hospital, Central Province, Sri Lanka. The data of the patients who performed the Rapid Antigen Test (RAT) from 11.08.2021to 11.0.2021 to know whether they have infected by SARS-CoV-2 or not, were taken for analysis. The authors developed a data extraction form on an Excel sheet and the following data from main data sheet. Test performed date, age, sex, number of positive and negative cases, number of female patients and number of male patients were extracted. Mistyping of data was resolved by crosschecking. Finally the data were analyzed in simple statistical method according to the objective of the study.

Results and discussion

Totally 642 patients performed RAT within the period of one month from 11.08.2021 to 11.09.2021. Among them 426 (66.35%) are male and 216 (33.64%) are female. Men mostly involved in several activities such as alcohol consumption, being involved in key activities during burial rites, and working in basic sectors and occupations that require them to continue being active, to work outside their homes and to interact with other people even during the containment phase. Therefore, men have increased level of exposure and high risk of getting COVID-19 (28) (29) (30). The present data descriptive study also were supported certain previous research findings.

The number of male patients got positive result in RAT among the total male patients who performed RAT on every day. According to that, 20.4% (n=131) of male obtained positive result among the total male population (n=426). Philip Goulder, professor of immunology at the University of Oxford stated that women’s immune response to the virus is stronger since they have two X chromosomes which is important when talk about the immune response against SARS-Cov-2. Because the protein by which viruses such as coronavirus are detected is fixed on the X chromosome. This is exactly looks like females have double protection compare to male. The present study also showed that large number of RAT positive cases were observed in males compare to females. Gender based lifestyle would have been another possibility for large number of males got positive in RATs. There are important behavioral differences between the sexes according to certain previous research findings (54).

Shows that the number of female patients got positive result in RAT among the total female patients who performed RAT on every day. According to that, 11.4% (n=73) of female obtained positive result among the total male population (n=216).

The relations between the number of positive cases before and after the lockdown. The lockdown declared by the tenth day from the initial day when the data was taken for analysis. The red vertical line differentiates the period as two such as before and after the lockdown. Though there was no decline observed as soon as immediately considerable decline was observed after the 21 days of onset of lockdown. Staying at home, avoiding physical contacts, and avoiding exposure in crowded areas are the best way to prevent the spread of Covid – 19 (54). However the significant decline would be able to see after three weeks only from the date of lockdown since the incubation period of SARS-CoV-2 is 14-21 days. The continuous study should be conducted in order to prove it. However the molecular mechanism of COVID-19 transmission pathway from human to human is still not resolved, the common transmission of respiratory diseases is droplet sprinkling. In this type of spreading, a sick person is exposed to this microbe to people around him by coughing or sneezing. Only the way to prevent these kind of respiratory diseases might be prevent the people to make close contact (54) (55). Approximately 214 countries reported the number of confirmed COVID-19 cases (56). Countries including Sri Lanka have taken very serious constraints such as announced vacation for schools, allowed the employers to work from home and etc. to slow down the COVID 19 outbreak. The lockdown days differ by countries. Countries have set the days when the lockdown started and ended according to the COVID-19 effect on their public. Some countries have extended the lockdown by many days due to COVID-19 continues its influence intensely on the public (57) (58).

The incidence of Covid-19 and age group. Accordingly large number was observed (34.89%) between the age group of 31-40 years in both sexes. The age group of 21-30 and 41-50 years also were shared the almost same percentage (17.13% & 17.75). A study provides evidence that the growing COVID-19 epidemics in the US in 2020 have been driven by adults aged 20 to 49 and, in particular, adults aged 35 to 49, before and after school reopening (59). However many researches pointed out that adults over the age of 60 years are more susceptible to infection since their immune system gradually loses its resiliency.

The relations between the positive number of male & female patients and the age group of total patients. According to that the large number of positive male patients observed among the age group of 41-50 years. Almost same number of patients was observed in the age group of 21-30 and 31-40. The least number of positive cases (0.7% and 0.9%) observed almost in 0-10 and 81-90 years. When considering the females, large number of positive female patients observed among the age group of 31-40 years. In USA Ministry of Health has reported 444 921 COVID-19 cases and 15 756 deaths as of August 31. For men, most reported cases were persons aged 30–39 years (22.7%), followed by 20–29 year-olds (20.1%) and 40–49 year-olds (17.1%). Most reported deaths were seniors, especially 70–79 year-olds (29.5%), followed by those aged 80 years and older (29.2%), and 60–69 year-olds (22.8%). Also found a similar pattern for women, except that most deaths were reported among women aged 80 years and older (44.4%) (60).

Conclusion

The present study showed that the male are mostly got positive in RAT test than female. Further comparing the old age young age group in both sexes were noticed as positive in RAT. Moreover there were no relationship observed before and after the lockdown and trend of Covid-19

 The limitations of the study

This study has several limitations.

Only 1 hospital was studied.

More than the absence of specific data on mobility patterns or transportation, detail of recovery, detail of mortality etc.

The COVID-19 pandemic is still ongoing so statistical analysis should continue. There are conflicting statements regarding lockdown by countries on COVID-19.

The effect of the lockdown caused by the COVID-19 pandemic on human health may be the subject of future work.

[aionlinemoney]

The Impact of Artificial intelligence in Healthcare Industry

Technology has always played an important role in healthcare, but the rise of Artificial Intelligence (AI) is bringing even bigger changes. From helping doctors diagnose diseases to improving patient care, AI is transforming the healthcare industry for the better. It’s making healthcare services more efficient, accurate, and personalized for each patient.

In this blog, we will take a closer look at how AI is used in healthcare, its benefits, and the challenges.

AI in Healthcare: A New Beginning 

AI in healthcare means using computers and smart programs to help doctors look at medical information and make better choices. AI can quickly go through a lot of data and find patterns that people might not see. This makes it really helpful for finding diseases.

Uses of AI in Healthcare:

Diagnostics and Early Detection:

AI is becoming a powerful tool in diagnosing diseases. Artificial intelligence in medical diagnosis can examine medical images like X-rays, MRIs, and CT scans with high accuracy. In some cases, AI can even spot diseases like cancer earlier than human doctors.

AI tools are also being developed to assess a person’s risk of diseases based on their genetics, lifestyle, and environment, making healthcare more personalized.

AI in Drug Discovery:

Finding new drugs is a long and expensive process. Artificial intelligence in medical diagnosis helps speed it up by predicting how different chemicals will interact with the body. This allows pharmaceutical companies to find new treatments faster.

During the COVID-19 pandemic, AI in healthcare was used to repurpose existing drugs to treat the virus. AI helped identify promising drugs quickly, shortening the usual timeline for research.

Virtual Health Assistants:

AI-powered virtual health assistants are now offering patients basic medical advice without the need to visit a hospital. These assistants can answer questions, remind patients to take medications, and help schedule appointments. They also reduce the workload on doctors.

Telemedicine, where doctors consult patients remotely, has become more popular, especially during the pandemic. AI-driven platforms allow doctors to diagnose and treat patients from a distance, making healthcare more accessible and convenient.

Robotics in Surgery:

AI in healthcare is helping doctors do delicate surgeries. These robots can do small, correct operations, which means patients heal faster.

One example is the Da Vinci Surgical System. It helps doctors perform complicated surgeries through tiny cuts, allowing patients to recover quicker and with better results.

Benefits of AI in Healthcare:

The uses of Artificial intelligence offer many benefits:

Increased Accuracy

Artificial intelligence has increased accuracy in the healthcare industry. AI can analyze large amounts of data quickly and accurately, leading to better and earlier diagnoses. This improves treatment outcomes and can save lives.

Personalized Treatments

AI allows for personalized medicine by analyzing a patient’s unique medical history, genetics, and lifestyle. This leads to more effective treatments tailored to individual needs.

Lower Costs

AI can help reduce healthcare costs by speeding up processes, reducing errors, and improving efficiency. Faster drug discovery and better patient management also save money.

Improved Patients Experience 

Virtual health assistants and telemedicine make healthcare more convenient for patients. They allow people to access medical advice and consultations from home, which is especially helpful for those in remote areas or with mobility issues.

Challenges:

Although AI is very promising in healthcare, there are some challenges:

Data Privacy and Security 

AI needs a lot of patient data to work, which raises concerns about keeping that data safe and private. It’s important to protect sensitive patient information as AI becomes more common in healthcare. This is the main challenge for machine learning in the healthcare industry.

Lack of Human Interaction 

While AI can help doctors, it cannot replace the personal care and understanding that human doctors provide. Some patients might feel that AI-driven care is too impersonal, so it’s important to keep a balance between Artificial intelligence speed and the human touch in the Healthcare Industry.

Regulatory Challenges

As AI develops quickly, governments and regulators must make sure it is safe and works well in healthcare. Creating clear rules for AI in healthcare is a complicated process that will take time. These are some challenges in the healthcare industry.

Conclusion 

AI is making big changes in healthcare. It helps doctors find diseases early, give personalized treatments, and make surgeries better. AI is changing every aspect of daily life to prepared in this era or to stay updated you should read AI related news and blogs

In the future, AI will likely become an even bigger part of healthcare, making care better and easier to get. AI isn’t here to replace doctors but to work with them, making healthcare smarter, faster, and better for patients everywhere.

[techytoolzataclick]

Top Futuristic AI Based Applications by 2024

2024 with Artificial Intelligence (AI) is the backdrop of what seems to be another revolutionary iteration across industries. AI has matured over the past year to provide novel use cases and innovative solutions in several industries. This article explores most exciting AI applications that are driving the future.

1. Customized Chatbots

The next year, 2024 is seeing the upward trajectory of bespoke chatbots. Google, and OpenAI are creating accessible user-friendly platforms that enable people to build their own small-scale chatbots for particular use cases. These are the most advanced Chatbots available in the market — Capable of not just processing text but also Images and Videos, giving a plethora of interactive applications. For example, estate agents can now automatically create property descriptions by adding the text and images of listings thatsurgent.

2. AI in Healthcare

AI has found numerous applications in the healthcare industry, from diagnostics to personalized treatment plans. After all, AI-driven devices can analyze medical imaging material more accurately than humans and thus among other things help to detect diseases such as cancer at an early stage. They will also describe how AI algorithms are used to create tailored treatment strategies personalized for each patient's genetics and clinical past, which helps enable more precise treatments.

3. Edge AI

A major trend in 2024 is Edge AI It enables computer processing to be done at the edge of a network, rather than in large data centers. Because of its reduced latency and added data privacy, Edge AI can be used in applications like autonomous vehicles transportations, smart cities as well as industrial automation. Example, edge AI in autonomous vehicles is able to get and process real-time data, increasing security by allowing faster decision-making.

4. AI in Finance

Today, the financial sector is using AI to make better decisions and provide an even stronger customer experience. Fraud detection, risk assessment and customised financial advice have introduced insurance into the AI algorithm. AI-powered chatbots and virtual assistants are now common enough to be in use by 2024, greatly assisting customers stay on top of their financial well-being. Those tools will review your spending behavior, write feedback to you and even help with some investment advices.

5. AI in Education

AI is revolutionizing education with individualized learning. These AI-powered adaptive learning platforms use data analytics to understand how students fare and produces a customised educational content (Hoos, 2017). This way, students get a tailored experience and realize better outcomes. Not only that, AI enabled tools are also in use for automating administrative tasks which shortens the time required by educators on teaching.

6. AI in Job Hunting

This is also reverberating in the job sector, where AI technology has been trending. With tools like Canyon AI Resume Builder, you can spin the best resumé that might catch something eye catchy recruiter among a dozen others applications he receives in-between his zoom meeting. Using AI based tools to analyze Job Descriptions and match it with the required skills, experience in different job roles help accelerating the chances of a right fit JOB.

7. Artificial Intelligence in Memory & Storage Solutions

Leading AI solutions provider Innodisk presents its own line of memory and storage with added in-house designed AI at the recent Future of Memory & Storage (FMS) 2024 event. Very typically these are solutions to make AI applications easier, faster and better by improving performance scalability as well on the quality. This has huge implications on sectors with substantial data processing and storage demands (healthcare, finance, self-driving cars).

Conclusion

2024 — Even at the edge of possible, AI is revolutionizing across many industries. AI is changing our lives from tailored chatbots and edge AI to healthcare, finance solutions or education and job search. This will not only improve your business profile as a freelancer who create SEO optimized content and write copies but also give your clients in the writing for business niche some very useful tips.

[shivamthakrejr]

Healthcare's AI revolution: Innovations and Prospects - Sachin Dev Duggal

Innovations in Healthcare Through AI

AI has already made significant advancements in various aspects of healthcare. One notable innovation is diagnostics. These data sets assist medical professionals in making better diagnoses using artificial intelligence algorithms that examine medical data like imaging studies, laboratory results, and electronic medical records. By doing this, AI tools have improved the accuracy of CT scans and simplified work procedures, thereby hastening outcomes and improving their dependability, which is greatly needed, especially in radiology, whose timely correct diagnosis significantly impacts patients’ lives.

The healthcare sector is undergoing a transformation through artificial intelligence (AI), which is enhancing diagnosis, improving patient care, and streamlining work. With the progress of technology, AI can change how healthcare is provided, making it more efficient, personalized, and accessible. Sachin Dev Duggal has been advocating for the impact of AI in healthcare and expressing how it could reshape medicine in the future.

Additionally, there are other instances where artificial intelligence plays an important role in enabling very early disease detection. Complex machine learning systems can identify data patterns that may signal the onset of cancerous diseases at stages when they are still curable. For instance, AI systems have demonstrated high accuracy rates when predicting the probability of developing lung cancer, thereby enabling earlier interventions with better survival rates than ever before. This new orientation towards preventive intervention rather than treatment represents a big shift from the traditional approach to health care.

AI is revolutionizing healthcare, which includes improvements to diagnosis, customization of treatments, and operational efficiency. Integrating AI into healthcare, as highlighted by Sachin Dev Duggal and other thought leaders, will improve patient outcomes and make healthcare more accessible and efficient. This means that to address the challenges facing the health industry and guarantee a healthier tomorrow, we must embrace these technological advancements.