MIT Jameel Clinic

We are delighted to have I. Glenn Cohen, Deputy Dean of Harvard Law School, joining our Transforming Healthcare with AI course in March, teaching Regulatory and Data Privacy Considerations in Healthcare AI! If you can't enroll in our 2-day March course, consider enrolling in our 2-day October course! Both courses are offered via MIT Sloan Executive Education and are the perfect way to strategically advance your knowledge of AI in medicine. ⭐ Register: https://lnkd.in/dgYbz4UH #aiforgood #aiforhealth #healthcareinnovation #airegulation #aisafety

MIT Jameel Clinic PI Elazer Edelman is co-Guest Editor for this month's "groundbreaking special issue" of the Journal of the Society for Cardiovascular Angiography & Interventions (JSCAI) on the role of AI in cardiovascular health. "AI is now an integral part of our daily lives, whether we are prepared for it or not. In medicine, particularly in interventional cardiology, its impact is profound. From image processing and diagnostic support to risk assessment and procedural decision-making, AI has the power to enhance precision, improve outcomes, and democratize expertise across the field." — Elazer Edelman 📰 Press release: https://lnkd.in/dveMy3Wk ⭐ Editorial from Elazer Edelman with co-Guest Editor University of Miami Miller School of Medicine's Yiannis S. Chatzizisis: https://lnkd.in/dJiHfUzW #aiforgood #aiforhealth #healthcareinnovation #cardiovascularhealth #machinelearningsolutions

Feeling itchy? Chronic itching, a.k.a. pruritis, is an itch that persists for 6 weeks or more. The condition currently affects 13% of the US population, profoundly impacting sleep and quality of life while resulting in an annual population-level expenditure of over $90 billion. In a new paper, Michail Ouroutzoglou, Mingmin Zhao, Josh Hellerstein, Hariharan Rahul, Asima Badic, Brian S. Kim, and MIT Jameel Clinic PI Dina Katabi propose using a machine learning approach combined with radio frequency signals to develop an objective measure for quantifying itch, which may help develop more effective treatments as current self-assessments make it challenging to quantify small changes over longer periods of time. ⭐ Paper: https://lnkd.in/emJkHau6 #aiforgood #aiforhealth #machinelearningsolutions #healthcareinnovation

One weird trick that proteins use to function? "Hydration frustration" is a way of managing how water interacts with different parts of a protein to enhance the protein's activity 💧 In a new paper for Nature Chemistry, Tianyi (Herry) Jin, MIT Jameel Clinic PI Connor W. Coley, and Alfredo Alexander-Katz  show that synthetic polymer nanoparticles can mimic this same trick, following a set of physicochemical rules that determine their behavior. Using Monte Carlo models, they demonstrate how these nanoparticles could be designed to combine the ease of polymer fabrication with the functionality of biological proteins! ⭐ Paper: https://lnkd.in/eKk7QZ85 #aiforgood #aiforhealth #computationalchemistry #machinelearningsolutions

How many researchers are supported by the MIT Jameel Clinic? These numbers reflect our growing community of brilliant minds dedicated to advancing AI-driven healthcare. From developing lifesaving cancer risk prediction models to pioneering AI-discovered antibiotics, these researchers are shaping the future of medicine. Their groundbreaking work would not be possible without the support of those who believe in the power of AI to build a healthier world. On #PiDay, join us in fueling infinite impact at the intersection of AI and health. Your support makes a difference. 🔬💙 Give today: https://lnkd.in/epdq5jjD #aiforgood #aiforhealth #healthcareinnovation #machinelearningsolutions

Happy Pi Day! Just as π is an infinite, never-ending number, our commitment to improving early cancer detection knows no bounds. To date, 66 hospitals across the globe have joined our hospital network to deploy state-of-the-art cancer risk prediction models for their patient population to improve the early detection of breast and lung cancer. Join us in supporting the work that makes it possible to provide free access to cutting-edge technology — because when it comes to saving lives, the impact is limitless. ⭐ Give to the AI Cures fund: https://lnkd.in/e3UezEwb #PiDay #aiforgood #aiforhealth #machinelearningsolutions #healthcareinnovation

How can we ensure that AI models are both effective and safe in clinical settings? MIT Jameel Clinic AI faculty lead Regina Barzilay spoke with Cancer Network's Roman Fabbricatore about how Advanced Research Projects Agency for Health (ARPA-H)'s ADAPT Program (Advanced Analysis for Precision Cancer Therapy) could push cancer research forward and why existing tools for cancer risk assessment fall short. ⭐ Read the Q&A Interview: https://lnkd.in/etVAfvb4 #aiforgood #aiforhealth #healthcareinnovation #cancerresearch

Is there a way to measure a person's risk of developing Alzheimer's disease? The current approach to assessing a person's risk of developing Alzheimer's is by identifying deviations in magnetoencephalography (MEG), a neuroimaging technique that maps brain activity by recording magnetic fields produced by electrical currents. But these images are typically analyzed using statistical techniques. A new paper published in the IEEE Journal of Biomedical and Health Informatics co-authored by Hugo Ramirez, Davide Tabarelli, Arianna Brancaccio, Paolo Belardinelli, Elisabeth Marsh, Michael Funke, John C. Mosher, Fernando Maestu, Mengjia Xu, and MIT Jameel Clinic PI Dimitrios Pantazis demonstrates how a cutting edge neural network tailored to analyze MEG data produces more detailed insights on brain aging trajectory, better characterizing age-related alterations that may lead to Alzheimer's. ⭐ Paper: https://lnkd.in/ejPYAuYr #BrainAwarenessWeek #aiforgood #aiforhealth #healthcareinnovation #neuroscience

With up to 50% of women experiencing a urinary tract infection (UTI) in their lifetime, it is currently the 3rd most common indication for antibiotic treatment in the U.S. But the recommended treatment guidelines from 2011 are based on a small number of randomized clinical trials and observational studies — so are they still optimal and could machine learning help in measuring their efficacy? In a study published in JAMA Network Open, Noah Jones, Ming-Chieh Shih, Elizabeth Healey, Sabrina Zhai, Sonali Advani, Aaron Smith-McLallen, PhD, MIT Jameel Clinic PI David Sontag, and Sanjat Kanjilal analyzed data from a claims dataset from 2012 to 2021, using automated feature extraction methods for OMOP formatted data. Their results confirmed that the guidelines from 2011 remain the best guidance to follow today for uncomplicated UTIs, but their approach demonstrates that automated methods can perform just as well as manually curated models, providing a scalable way of measuring the real-time efficacy of medical guidelines. ⭐ Learn more: https://lnkd.in/eMEJtqYy #aiforgood #aiforhealth #womenshealth #healthcareinnovation

It was a pleasure to have Apollo Hospitals' Chief Medical Information Officer & Vice President Sujoy Kar at MIT! We are excited to be one step closer to kicking off prospective validation for Mirai (breast cancer risk model) and getting started with retrospective validation for Sybil (lung cancer risk model) in India's largest hospital chain, Apollo Hospitals. Following prospective validation, Mirai will then be able to move forward for approval by the Central Drugs Standard Control Organization (India's FDA equivalent) and become part of the standardized screening process for patients. #aiforgood #aiforhealth #healthcareinnovation #publichealth #womenshealth