#Biotech Research

[market-insider]

Clinical Trials : Holistic Exploration of the Current State and Future Outlook

The global clinical trials market size is expected to reach USD 123.5 billion by 2030, expanding at a CAGR of 6.49 from 2024 to 2030, according to a new report by Grand View Research, Inc. An increase in the volume and complexity of clinical trials has been witnessed lately, which plays an important role in the R&D of new drugs and products. The market witnessed a decline of 6% in 2020 owing to the COVID-19 pandemic. However, the market is projected to recover from 2021 onwards. In addition, clinical trials have become increasingly costly, adding to the overall cost of developing a drug.

Clinical Trials Market Report Highlights

The phase III clinical trials segment dominated the market with a 53.3% share in 2023. This can be attributed to the complexity of this phase

The interventional studies segment dominated the market in 2023. It is one of the most prominent methods used in clinical trials in the study design segment owing to the increasing demand for the intervention for clinical trials by researchers

North America held 50.3% of the market share in 2023. Favorable government initiatives and the presence of a large number of players in the U.S. that offer advanced services are responsible for market growth

Asia Pacific region is anticipated to grow at the fastest CAGR over the forecast period owing to the increasing patient pool and cost-efficient services.

For More Details or Sample Copy please visit link @: Clinical Trials Market Report

The increasing need for developing new drugs for chronic diseases, such as cancer, respiratory disorders, diabetes, cardiovascular diseases, and others, is creating immense pressure on the healthcare industry. The COVID-19 pandemic and the increasing demand for developing a suitable treatment are driving the market. The high number of people affected by the disease further depicts an increasing need for therapeutics & vaccines. Currently, there are 288 therapeutics and 106 vaccines under development, out of which, nearly 7.0% of therapeutics are in Phase IV, 21.0% in Phase III, and 43.0% & 13.0% in Phase II & Phase I, respectively.

The pandemic has resulted in the global disruption of traditional onsite clinical trials. Hence, regulatory bodies worldwide have undertaken various initiatives for fast-tracking clinical trials for the development of innovative solutions. One such instance is Solidarity, an international clinical trial launched by the WHO to find effective treatment against COVID-19. Although the pandemic has forced many medical device & drug developers to revise the approach to such crises, integrating best practices within clinical trial procedures & adapting to virtual trials, which can support the continuous development of therapeutics.

ClinicalTrials #HealthcareResearch #MedicalInnovation #DrugDevelopment #PatientRecruitment #Biopharmaceuticals #ClinicalResearch #RegulatoryCompliance #DataManagement #PatientEngagement #PrecisionMedicine #TherapeuticTrials #CROs #ClinicalResearchOrganizations #GlobalHealth #ClinicalStudyDesign #PharmaceuticalIndustry #BiotechResearch #ClinicalEndpoints #HealthTechIntegration

[stuckinapril]

I’ll be a doctor one day and all the pharmaceutical reps will be waiting in the lobby for hours begging for a chance to speak with me to push their samples to patients and I’ll have pharmaceutical companies buying free lunch for my employees every day just so they can sit w me at lunch and speak to me and I’ll also have a housewife/husband but instead it’ll be an office wife/husband and they’ll run the managerial aspects of my hospital for me . Among other things

[mxwhore]

officially licensed to biotechnology the world

[kosheeka]

Immortalized cell lines are highly regarded for scientific research. Over the period of a century, we have been able to collect numerous immortalized cell lines. They are either harvested from the tumors of individuals suffering from the condition. Unlike primary cells, which have a limited lifespan, immortalized cell lines can be generated by making genetic alterations that encourage continuous growth and division. This conversion is essential for providing a stable and sustainable source of biological material, which greatly benefits areas such as drug development, cancer studies, and genetic research. Having a deeper understanding of these procedures improves our capacity to effectively harness immortalized cell lines across various scientific disciplines.

Learn More: www.kosheeka.com

[mr-seamonster]

My reminders: research subsection!!

Me, working on "research subsection" for the past 7 or so hours intermittently:

[cellbiologist]

Molecular Biology

"Molecular biologists unravel the complexities of life at the most fundamental level, studying the structure and function of molecules that make up cells. Their work advances our understanding of genetics, protein interactions, and cellular processes, driving breakthroughs in medicine, biotechnology, and environmental science. Through cutting-edge research, molecular biologists are at the forefront of discovering the molecular mechanisms that govern life, contributing to innovations that shape the future of science and healthcare."

[miss-biophys]

Two options for a Researcher’s career

Stay in academia — explore my own research ideas, research topic closest to my heart, work on what I find the most important and overlooked  BUT: have to apply for grants all the time have to switch places and universities fear of career end every time a grant does not come huge stress from too much work not enough time for actual research

Work in industry — in a pharmaceutical company in my case, contribute directly to healthcare, make direct impact, have permanent job BUT: working on ideas of other people having to keep my inventions/research a secret and not openly share so anybody could use it the topic I find the most important will stay overlooked my ideas will not be explored I am not sure if that kind of work will fulfill me

Genuinely, I am not sure what to chose now. I used to be 100% sure I want to do my own research. I am bursting with ideas that nobody else could focus on! But lately I have been under so much stress that I am not so sure anymore.

[biotechstudentlife]

Carbohydrates MCQ 25 Link in bio ☝️ for more mcqs recommendations #biotechnology #biology #science #microbiology #biotech #biochemistry #molecularbiology #research #genetics #scientist #dna #medicine #laboratory #biotechnologist #cellbiology #lab #microbiologist #medical #chemistry #biotechnologystudent #biologystudent #bio #biologymemes #lifescience #neet #bioinformatics #covid #zoology #microscope #bacteria (at Royal City Nanded) https://www.instagram.com/p/Cp4AbWivdeN/?igshid=NGJjMDIxMWI=

[the-prophecy]

Final year is gonna be so fun like...

[vindhyavasiniacademy]

[kosheeka]

Dive into the world of Liver Microsomes! These subcellular fractions are invaluable for drug metabolism studies, and we've got the finest quality for your #research.

Contact us and learn more about their applications and benefits.

Visit: www.kosheeka.com WhatsApp/Call: 096543 21400

[jcmarchi]

AI’s Life-Changing, Measurable Impact on Cancer

New Post has been published on https://thedigitalinsider.com/ais-life-changing-measurable-impact-on-cancer/

AI’s Life-Changing, Measurable Impact on Cancer

Leveraging Big Data to Enhance AI in Cancer Detection and Treatment

Integrating AI into the healthcare decision making process is helping to revolutionize the field and lead to more accurate and consistent treatment decisions due to its virtually limitless ability to identify patterns too complex for humans to see.

The field of oncology generates enormous data sets, from unstructured clinical histories to imaging and genomic sequencing data, at various stages of the patient journey. AI can “intelligently” analyze large-scale data batches at faster speeds than traditional methods, which is critical for training the machine learning algorithms that are foundational for advanced cancer testing and monitoring tools. AI also has tremendous inherent pattern recognition capabilities for efficiently modeling data set complexities. This is important because it enables deeper, multi-layered understandings of the impact of nuanced molecular signatures in cancer genomics and tumor microenvironments. Discovering a pattern between genes only found in a certain subset of cancer cases or cancer progression patterns can lead to a more tailored, patient-specific approach to treatment.

What is the ultimate goal?  AI-powered cancer tests that support clinical decision-making for doctors and their patients at every step of the cancer journey – from screening and detection, to identifying the right treatment, and for monitoring patients’ response to interventions and predicting recurrence.

Data Quality and Quantity: The Key to AI Success

Ultimately, an AI algorithm will only be as good as the quality of data that trains it. Poor, incomplete or improperly labeled data can hamstring AI’s ability to find the best patterns (garbage in, garbage out). This is especially true for cancer care, where predictive modeling relies on impeccable precision – one gene modification out of thousands, for example, could signal tumor development and inform early detection. Ensuring that high level of quality is time-consuming and costly but leads to better data, which results in optimal testing accuracy. However, developing a useful goldmine of data comes with significant challenges. For one, collecting large-scale genomic and molecular data, which can involve millions of data points, is a complex task. It begins with having the highest quality assays that measure these characteristics of cancer with impeccable precision and resolution.  The molecular data collected must also be as diverse in geography and patient representation as possible to expand the predictive capacity of the training models.  It also benefits from building long-term multi-disciplinary collaborations and partnerships that can help gather and process raw data for analysis. Finally, codifying strict ethics standards in data handling is of paramount importance when it comes to healthcare information and adhering to strict patient privacy regulations, which can sometimes present a challenge in data collection.

An abundance of accurate, detailed data will not only result in testing capabilities that can find patterns quickly and empower physicians with the best opportunity to address the unmet needs for their patients but will also improve and advance every aspect of clinical research, especially the urgent search for better medicines and biomarkers for cancer.

AI Is Already Showing Promise in Cancer Care and Treatment

More effective ways to train AI are already being implemented. My colleagues and I are training algorithms from a comprehensive array of data, including imaging results, biopsy tissue data, multiple forms of genomic sequencing, and protein biomarkers, among other analyses – all of which add up to massive quantities of training data. Our ability to generate data on the scale of quadrillions rather than billions has allowed us to build some of the first truly accurate predictive analytics in clinical use, such as tumor identification for advanced cancers of unknown primary origin or predictive chemotherapy treatment pathways involving subtle genetic variations.

At Caris Life Sciences, we’ve proven that extensive validation and testing of algorithms are necessary, with comparisons to real-world evidence playing a key role. For example, our algorithms trained to detect specific cancers benefit from validation against laboratory histology data, while AI predictions for treatment regimens can be cross compared with real-world clinical survival outcomes.

Given the rapid advancements in cancer research, experience suggests that continuous learning and algorithm refinement is an integral part of a successful AI strategy. As new treatments are developed and our understanding of the biological pathways driving cancer evolves, updating models with the most up-to-date information offers deeper insights and enhances detection sensitivity.

This ongoing learning process highlights the importance of broad collaboration between AI developers and the clinical and research communities. We’ve found that developing new tools to analyze data more rapidly and with greater sensitivity, coupled with feedback from oncologists, is essential. Bottom-line: the true measure of an AI algorithm’s success is how accurately it equips oncologists with reliable, predictive insights they need and how adaptable the AI strategy is to ever-changing treatment paradigms.

Real-World Applications of AI Are Already Increasing Survival Rates and Improving Cancer Management

Advances in data scale and quality have already had measurable impacts by expanding the physician decision-making toolkit, which has had real-world positive results on patient care and survival outcomes. The first clinically validated AI tool for navigating chemotherapy treatment choices for a difficult-to-treat metastatic cancer can potentially  extend patient survival by 17.5 months, compared to standard treatment decisions made without predictive algorithms1. A different AI tool can predict with over 94% accuracy the tumor of origin for dozens of metastatic cancers2 – which is critical to creating an effective treatment plan.  AI algorithms are also predicting how well a tumor will respond to immunotherapy based on each person’s unique tumor genetics. In each of these cases, AI toolkits empower clinical decision-making that improves patient outcomes compared with current standards of care.

Expect An AI Revolution in Cancer

AI is already changing how early we can detect cancer and how we treat it along the way. Cancer management will soon have physicians working side-by-side with integrated AI in real time to treat and monitor patients and stay one step ahead of cancer’s attempts to outwit medicines with mutations. In addition to ever-improving predictive models for detecting cancer earlier and providing more effective personalized treatment paradigms, physicians, researchers, and biotech companies are hard at work today to leverage data and AI analyses to drive new therapeutic discoveries and molecular biomarkers for tomorrow.

In the not-too-distant future, these once-impossible advances in AI will reach far beyond cancer care to all disease states, ending an era of uncertainty and making medicine more accurate, more personalized, and more effective.

[chinacleanroomwipes]

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Perfect for any lab working with precision molecular biology experiments.

[ejunkiet]

oooh!! can i ask for 30 from the ao3 wrapped asks???

30. Biggest surprise while writing this year?

heheheheh, THE WEREWOLVES. I've written.... god, okay, well I've published 132k on ao3, and there is a lot more in my wips folder that isn't online. sure, there are some non-werewolf fics in there, but it's mostly werewoofs. >:3

Zo, I'm writing a sexy novella with werewolves in it. this was not on my bingo card for the year 😂 I DO NOT REGRET IT THOUGH.

[academic1995]

Biomedical Research

Biomedical research focuses on understanding the mechanisms of health and disease to develop innovative treatments, therapies, and medical technologies. From studying cellular processes to exploring genetic modifications, biomedical research plays a critical role in advancing healthcare and improving patient outcomes. Through interdisciplinary approaches, this research paves the way for breakthroughs in medicine, contributing to global health and well-being.

Website : sciencefather.com

Nomination: Nominate Now

Registration: Register Now

Contact Us: contact@academicexcellenceawards.com

[biotechstudentlife]

Protein MCQ 46 Link in bio ☝️ for more mcqs recommendations #biotechnology #biology #science #microbiology #biotech #biochemistry #molecularbiology #research #genetics #scientist #dna #medicine #laboratory #biotechnologist #cellbiology #lab #microbiologist #medical #chemistry #biotechnologystudent #biologystudent #bio #biologymemes #lifescience #neet #bioinformatics #covid #zoology #microscope #bacteria (at Royal City Nanded) https://www.instagram.com/p/Cp9r2uFPedi/?igshid=NGJjMDIxMWI=