#oncology AI

[reasonsforhope]

I'm worried about the rising rate of young adults getting cancer.

For what it's worth, we've actually made a shocking amount of progress against cancer - especially the most common cancers like breast cancer, and especially in the past 30 years.

Cancer rates have been falling, often dramatically (x, x, x, x, x, x). One of the best examples it that breast cancer deaths in the United States dropped 58% between 1975 and 2019 (x).

Right now, we're at the beginning of an absolute revolution in cancer care that promises to increase survival rates even further. This revolution has been going on to a lesser degree since the first human genome was successfully sequenced in the early 2000s (and in fact, the first gapless sequencing of a human genome was finally finished just two years ago, in 2022), and to a greater extent since CRISPR DNA-editing technology was first successfully tested in 2013, and since medical digitzation/digital communication and vaccination were massively spurred ahead in 2020, by the COVID pandemic (x, x).

Right now, the results of this revolution are only beginning to trickle out into actual treatments. But I guarantee you, in the next one to three decades, the way we fight cancer will be massively transformed.

We're talking personalized genome sequencing for each person with cancer - not just for early and better detection, but even to figure out what types of treatments will work best. (x, x, x, x)

We're talking using CRISPR-based DNA editing to literally cut cancer-causing mutations out of your DNA, to edit the genes of immune cells to better detect and kill cancer cells, and to kill cancer-causing viruses. (x, x, x, x)

We're talking using CRISPR-based screening to figure out how chemotherapy resistance works, so that we can overcome it - and even weaponize it. (x, x)

We're talking using CRISPR to edit immune cells so that they recognize and target the mutations of a single individual's specific tumor. (x)

We're talking new types of testing that can predict if cancer will return years before it shows up on scans. (x)

We're talking using (non-generative) AI to massively increase the accuracy and earliness of cancer detection - which by the way is already starting to happen, there are several AI-based systems that detect cancer earlier and more accurately than doctors do. (x, x, x, x, x, x)

Also, the more we transition to a green, sustainable, and ethical future, the fewer cancer-causing substances will be in the environment (fossil fuels, oil drilling, and mining are massive sources of carcinogens at every point in the process).

Cancer is awful. That is a massive understatement. But the fight against cancer is one where there are so many reasons for hope.

[innonurse]

Innovative technique merges nano informatics with AI for potential breakthroughs in cancer prediction

- By InnoNurse Staff -

A new study has unveiled a cutting-edge approach that integrates nano informatics and machine learning to accurately forecast cancer cell behaviors. This method facilitates the identification of cell subpopulations with unique traits, such as drug sensitivity and metastatic potential.

Read more at Hebrew University of Jerusalem/Medical Xpress

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[nuadox]

US: Breast cancer deaths have decreased by 44% since 1989, despite an increase in cases

- By Nuadox Crew -

Breast cancer rates in the U.S. have been rising, particularly among younger women and Asian Americans, according to a study by the American Cancer Society.

From 2012 to 2021, breast cancer cases increased by 1% annually, with rates growing faster for women under 50 than those older. Asian American women saw the most rapid increase in incidence, possibly linked to immigration patterns. Despite this, the breast cancer death rate has declined by 44% since 1989, preventing over 517,900 deaths.

However, the benefits of medical advancements have been unevenly distributed. Black women have a 38% higher mortality rate than White women, despite having lower breast cancer incidence, due to systemic racism and less access to quality care. Native American mortality rates have remained unchanged since 1990. The report calls for more racial diversity in clinical trials and improved access to high-quality screening for underserved women.

In April, the U.S. Preventive Services Task Force recommended that women begin biennial breast cancer screenings starting at age 40, adjusting its previous guidance.

Read more at AFP/Medical Xpress

Scientific paper: Angela N. Giaquinto et al, Breast cancer statistics 2024, CA: A Cancer Journal for Clinicians (2024). DOI: 10.3322/caac.21863

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[marketinsightsenterprises]

AI in Oncology: A Game-Changer in Cancer Care

Artificial intelligence (AI) is revolutionizing oncology, offering innovative solutions that improve cancer diagnosis and treatment. With rising cancer incidence and advancements in AI technology, the global AI in oncology market is poised for significant growth. As AI continues to evolve, its role in transforming cancer care will only grow stronger, offering hope for better outcomes and improved patient experiences. Read more..

[s-n-arly]

Reminder, analytical AI and generative AI aren't the same. While I loathe generative AI and feel there is no ethical way to use it at this time, analytical AI can serve valuable purposes in many fields.

[marketinsightsbusiness]

AI in Oncology: A Game Changer

AI is transforming oncology with its precision and efficiency. From early detection to personalized treatments, AI tools like imaging analytics, predictive algorithms, and wearable monitoring devices are revolutionizing cancer care. The market for AI in oncology is projected to grow at a remarkable CAGR of 40.1%, fueled by rising cancer prevalence and technological advancements. Challenges remain, including regulatory hurdles and data security, but the potential for improved outcomes and reduced costs make AI a vital force in oncology's future.

Download Sample Reports..

[industryupdate]

Chronic Diseases Driving AI-Based Clinical Trials Market Expansion

The AI-based clinical trials solution market is projected to reach USD 7,073.9 million by 2030, growing at a CAGR of 20.4%. This growth is largely driven by the rising incidence of chronic diseases and the demand for advanced medications. Artificial intelligence (AI) is revolutionizing patient recruitment, trial design, monitoring, and site selection in clinical research, significantly enhancing…

[techjour]

Venture Capitalist Lip-Bu Tan joins India based 4baseCare 's advisory board. He possesses 30+ years of VC experience. His company Walden Catalyst Ventures mostly invests in Deeptech, ai, data, quantum, cloud, innocation and semiconductors.

[oncology-gps]

Navigating the Future of Cancer Care with Generative AI: A Comprehensive Guide

The field of oncology is undergoing a transformative revolution, driven by advancements in artificial intelligence (AI). Generative AI, in particular, is playing a pivotal role in reshaping cancer treatment and clinical care. At the forefront of this revolution is Oncology GPS, leveraging the power of AI to provide comprehensive, end-to-end solutions for those affected by cancer. This blog explores how AI tools are revolutionizing oncology and how Oncology GPS is leading the charge.

The Role of AI in Oncology

AI in oncology is transforming the way we detect, treat, and manage cancer. By analyzing vast amounts of data from medical reports, genetic profiles, and clinical trials, AI algorithms can identify patterns and insights that were previously beyond human capability. This enables healthcare providers to:

Early Detection: AI-powered tools can analyze medical images with incredible precision, identifying early signs of cancer that might be missed by the human eye. This early detection is crucial for improving patient outcomes.

Personalized Treatment Plans: Each patient's cancer is unique, and AI can help tailor treatment plans based on individual genetic makeup and response to previous treatments. This personalized approach increases the likelihood of successful outcomes.

Ongoing Patient Monitoring: AI can continuously analyze patient data, providing real-time insights into how well a treatment is working and suggesting adjustments as needed. This dynamic approach ensures that patients receive the most effective care possible.

Generative AI in Cancer Treatment

Generative AI is a subset of AI that involves generating new data from existing datasets. In the context of cancer treatment, generative AI can create detailed simulations of cancer progression, predict patient outcomes, and even suggest new treatment protocols. This innovative approach is transforming the landscape of cancer care by offering:

Advanced Predictive Analytics: Generative AI can model various treatment scenarios, helping oncologists predict how different therapies will affect a patient. This allows for more informed decision-making and better patient outcomes.

New Treatment Protocols: By analyzing vast amounts of clinical data, generative AI can identify novel treatment combinations that may be more effective than existing protocols. This can lead to the development of new, cutting-edge therapies.

Enhanced Research Capabilities: Generative AI accelerates research by simulating clinical trials and predicting their outcomes, significantly reducing the time and cost associated with traditional trial methods.

Oncology GPS: Pioneering AI Tools in Clinical Care

Oncology GPS stands out by offering a suite of AI-driven solutions designed to support patients and healthcare providers at every stage of the cancer journey. Here’s how Oncology GPS is making a difference with its AI tools in clinical care:

Comprehensive Patient Reports: By integrating data from various sources, Oncology GPS provides detailed reports that offer a holistic view of a patient's condition. These reports are invaluable for making informed treatment decisions.

End-to-End Solutions: From diagnosis to post-treatment care, Oncology GPS covers all aspects of cancer care. This ensures continuity and consistency, which are critical for effective cancer management.

User-Friendly Platform: The Oncology GPS platform is designed to be intuitive and accessible, making it easy for patients and caregivers to understand and use the tools available to them. This empowers patients to take an active role in their care.

The Future of Cancer Care with Generative AI

The potential for generative AI to revolutionize cancer treatment is immense. Future advancements may include even more precise diagnostic tools, predictive analytics for anticipating cancer recurrence, and new treatment modalities that harness the power of machine learning. Oncology GPS is committed to staying at the cutting edge of these developments, ensuring that patients and healthcare providers have access to the latest and most effective tools available. By embracing generative AI, Oncology GPS is not just navigating the future of oncology – it is helping to shape it.

Conclusion

Generative AI is a game-changer in oncology, offering new hope and possibilities for patients and healthcare providers alike. Oncology GPS is leading the way in this exciting field, providing comprehensive, AI-driven solutions that enhance every aspect of cancer care. As we look to the future, the potential for generative AI to revolutionize oncology is immense, and Oncology GPS is poised to be at the forefront of this transformative journey.

Stay connected with us on Tumblr for more updates, insights, and stories of hope from the world of AI-powered oncology. Together, we can navigate the future of cancer care with confidence and optimism. Meet Dr. Tim at LinkedIn: https://www.linkedin.com/in/timothy-r-allen-md-phd%F0%9F%87%BA%F0%9F%87%B8%F0%9F%8E%97%EF%B8%8F-54459b297/

[impact-newswire]

BPGbio Appoints Esteemed Cancer Researcher Dr. Dipanjan Chowdhury to Scientific Advisory Board

#AI #biopharma #therapeutics #mitochondrial #proteinhomeostasis #oncology #neurology #raredisease #drugdiscovery  @BPGbio

[dratefahmed1]

Hiatal Hernia Friendly Foods Delicious Dishes to Soothe Your Belly and Fight the Burn #herniadiet #n

#health #herniarepair #hernia #surgery #medicalstudents #medicalprofessionals #DrAtefAhmed #MedicalMystery #DoctorReacts #MentalHealthAwareness #ChronicIllness #HealthTips #Wellbeing #FitnessMotivation #MedicalSchool #Nutrition #HealthyLifestyle #DiseasePrevention #FirstAid #Anatomy #Healthcare #MedicalTechnology #PatientStories #DoctorLife #MedStudent Atef’s Notes In Hernia for Medical…

[innonurse]

Researchers use AI to uncover sex-specific risk factors for aggressive brain cancer

- By InnoNurse Staff -

Researchers from the University of Wisconsin–Madison, led by Professor Pallavi Tiwari, are using AI to uncover risk factors for glioblastoma, a highly aggressive brain cancer, and how they vary between men and women.

Glioblastoma is more common and aggressive in men, but identifying patterns that predict tumor behavior has been challenging. Tiwari and her team have developed an AI model that analyzes pathology slides to identify subtle tumor characteristics linked to patient survival, while accounting for sex differences.

The study found that for women, tumors infiltrating healthy tissue were linked to worse outcomes, while in men, the presence of certain cells (pseudopalisading cells) indicated more aggressive tumors. This AI-driven research aims to enable more personalized cancer care and inspire new treatment approaches. Tiwari’s work extends beyond glioblastoma, with AI applications in analyzing pancreatic and breast cancers, and she is helping shape UW–Madison’s AI and health initiatives.

Image: These images display regions of glioblastoma tumors in females (top) and males (bottom) where the AI models predict the presence of higher and lower risk characteristics. Red areas indicate higher risk, while blue areas represent lower risk. Credit: Tiwari Lab / UW–Madison.

Read more at UW–Madison

[nuadox]

Tool-making humpback whales: New study reveals complex bubble-net hunting techniques critical for survival

- By Nuadox Crew -

A new study published in Royal Society Open Science uncovers that humpback whales are among the few animals that both create and use tools, adding them to a rare group of species with this capability.

Previously known for their use of "bubble-nets" to hunt, these whales have now been observed manipulating these nets in sophisticated ways to maximize their food intake in Alaska. The research, conducted by the Marine Mammal Research Program (MMRP) at the University of Hawaiʻi and the Alaska Whale Foundation (AWF), demonstrates that solitary humpback whales craft complex bubble patterns, forming nets with internal rings to trap krill, tiny shrimp-like creatures. By controlling details like the number, size, and depth of the rings, whales can capture up to seven times more prey in a single dive without expending extra energy.

The study employed advanced research tools, including drones and non-invasive suction-cup tags, to monitor the whales' movements both above and below water. This research was challenging due to the remote location in Southeast Alaska and the difficulty of studying marine mammals, but the collaboration with AWF was crucial to the study's success.

Understanding these unique foraging behaviors is vital for conservation, as the whales’ survival depends on their ability to capture enough food during summer and fall in Alaska. The insights gained from this research could improve targeted conservation strategies, particularly in the protection of critical feeding grounds. As humpback whales face threats from habitat degradation, climate change, and pollution, their behavioral flexibility and ingenuity may be key to their survival in changing ocean environments. This study opens the door for further exploration of humpback whale behaviors, offering a richer understanding of their energetic needs and adaptability.

Image: Infographic illustrating the features of the bubble-net: Humpback whales can adjust the number of rings in the net and the distance between bubbles in the inner and outer rings to effectively concentrate prey and prevent their escape. Credit: Marine Mammal Research Program, UHM/ SOEST.

Read more at University of Hawaii at Manoa/SciTechDaily

Scientific paper: “Solitary humpback whales manufacture bubble-nets as tools to increase prey intake” by A. Szabo, L. Bejder, H. Warick, M. van Aswegen, A. S. Friedlaender, J. Goldbogen, J. M. Kendall-Bar, E. M. Leunissen, M. Angot and W. T. Gough, 1 August 2024, Royal Society Open Science.

DOI: 10.1098/rsos.240328

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[biohazardwastedisposal]

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