Getting ready to greet the walkers of the Susan G. Komen New England 3-Day tomorrow to share the fruits of the incredible research they have been supporting at the Jameel Clinic! Come stop by and say hi tomorrow morning at the lot at 400 Main St. to take part in the event n-campus festivities! 💞 #aiforgood #aiforhealth #the3day #breastcancerresearch
MIT Jameel Clinic - AI & Health
Higher Education
Cambridge, Massachusetts 22,817 followers
Jameel Clinic - The Epicenter of AI and Health at MIT
About us
Jameel Clinic - the Epicenter of AI and Health at MIT Climate change, lengthening life expectancies, and sedentary lifestyles are impacting hospitals and public health sectors around the globe. Founded in 2018 as a joint initiative between MIT and Community Jameel, the MIT Abdul Latif Jameel Clinic for Machine Learning in Health (Jameel Clinic) incubates research at the intersection of artificial intelligence (AI) and life sciences with the belief that AI presents a powerful opportunity to improve disease prevention, early detection, and aid in the personalization of treatments.
- Website
-
https://jclinic.mit.edu/
External link for MIT Jameel Clinic - AI & Health
- Industry
- Higher Education
- Company size
- 2-10 employees
- Headquarters
- Cambridge, Massachusetts
- Type
- Educational
- Founded
- 2018
- Specialties
- artificial intelligence, machine learning, healthcare, clinical ai, drug discovery, and epidemiology
Locations
-
Primary
77 Massachusetts Ave
Cambridge, Massachusetts 02139, US
Employees at MIT Jameel Clinic - AI & Health
Updates
-
AI's contextually-deprived decision-making process can often clash with clinicians' context-dependent reasoning. In a Viewpoint for The Lancet Digital Health, Lana Tikhomirov, Carolyn Semmler, Melissa McCradden, Rachel Searston, MIT Jameel Clinic - AI & Health PI Marzyeh Ghassemi, and Lauren Oakden-Rayner propose future research for clinician–AI interaction. As most clinical AI models are currently used in radiology (around 950 clinical AI models are FDA-approved, with over 350 used in radiology), the research team focused on characterizing decision-making for radiologists. Paper: https://lnkd.in/eBNEWgcR #aiforgood #aiforhealth #healthcareinnovation #aisafety #aibias
-
-
Multiple myeloma (MM) is the 2nd most common blood cancer, with around 20,000 cases a year. Management of the disease is complex due to genetic diversity affecting how the disease may present in patients, resulting in the need for a personalized approach. When it comes to disease management, MM often walks a fine line between living longer vs. living better, as physicians focus on how to balance maximizing patient survival, minimizing the adverse side effects from treatment, and monitoring the disease's progression. MIT Jameel Clinic - AI & Health and Takeda researchers teamed up to propose SCOPE (Simultaneous Cancer Outcome Prediction Estimator), an AI model that is capable of simultaneously (1) predicting progression-free survival, overall survival, and adverse side effects, (2) forecasting key disease biomarkers, and (3) assessing the effects of different drug treatments. Their work was published in npj Digital Medicine: https://lnkd.in/enmyh49e #aiforgood #aiforhealth #multiplemyeloma #healthcareinnovation
-
-
Wearables are becoming an increasingly valuable way for patients and clinicians to identify behavioral and physiological patterns, providing robust clinical data for diseases such as diabetes and cardiovascular disease. In a recent review for NEJM Group, Geoffrey Ginsburg, MIT Jameel Clinic - AI & Health PI Rosalind Picard, and Stephen Friend wrote about what challenges must be overcome for for wearables to be integrated into clinical guidelines and have real-world benefits. Paper: https://lnkd.in/g6-DPTRG #aiforgood #aiforhealth #healthcareinnovation #wearables
-
-
Tickets for the 5th edition of MoML at MIT on Tuesday, Nov. 5 are now available! A limited number of Early Bird tickets can be purchased until Sept. 20 so don't miss out! 🐦 As with previous years, students and postdocs may apply for free admission via Waitlist and/or accepted papers. 📣 Call for Papers: https://lnkd.in/eVJHGvmB The group with the best paper will be recognized with the Octavian-Eugen Ganea Prize for Best Paper. We look forward to reviewing your papers! 🌟 Register now: https://www.moml.mit.edu/ #aiforgood #aiforhealth #computationalchemistry #moml2024
-
-
With AI’s increasingly mainstream status in society, should there be more safeguards where AI models are concerned? MIT Jameel Clinic - AI & Health AI faculty lead Regina Barzilay was recently invited to speak on The Engineers: Intelligent Machines, an event hosted by the BBC World Service Trust and the Royal Commission for the Exhibition of 1851, which took place at Imperial College London this year. Barzilay told BBC presenter Caroline Steel that she believes there is too much discussion on AI regulation and not enough focus devoted to studying the deployment of AI models that could save patient lives. Full interview: https://lnkd.in/gEQwQART #aiforgood #aiforhealth #healthcareinnovation #airegulation #aisafety
-
Congenital heart disease (CHD) is the leading cause of birth defect-related deaths. While life expectancy for CHD has been improving, there is now a growing population of adults who require ongoing care. Preoperative cardiovascular magnetic resonance (CMR) scans of the heart have the potential to improve the treatment of CHD, but there is currently no publicly available CMR dataset that can allow clinicians and researchers to study the whole heart in patients with CHD. Danielle Pace, Hannah T. M. Contreras, Jen Romanowicz, Shruti Ghelani, Imon R., Yue Zhang, Patricia Gao, Mohammad Imrul "Jubair", Tom Yeh, MIT Jameel Clinic - AI & Health PI Polina Golland, Tal Geva, Sunil Ghelani, MD, Powell, Andrew and Mehdi Hedjazi Moghari recently released a 3D imaging dataset of the heart to encourage the development of AI models that could benefit CHD treatment in Nature Portfolio Scientific Data. Paper: https://lnkd.in/e_UzwREW #aiforgood #aiforhealth #cardiologyresearch #healthcareinnovation
-
-
August is #NationalImmunizationAwarenessMonth! MIT PhD student Wenxian Shi is one of the researchers behind VaxSeer, a deep learning model that predicts which vaccine strains will be most effective before flu season begins. Using past data, the researchers were able to demonstrate that VaxSeer's selected flu vaccines significantly outperformed those recommended by the World Health Organization. Paper: https://lnkd.in/es8skbmk #aiforgood #aiforhealth #vaccineresearch #healthcareinnovation
-
Policies that give people the right to have their data deleted, like the GDPR in the EU or California’s Consumer Privacy Act (CCPA), have led to the rise of "machine unlearning" methods, which can remove data without needing to retrain the machine learning model. Omri Lev and MIT Jameel Clinic - AI & Health PI Ashia Wilson propose a probabilistic unlearning approach based on Natural Gradient Descent (NGD) that significantly enhances privacy and outperforms multiple aspects of state-of-the-art unlearning algorithms. Paper: https://lnkd.in/edh2PQfz #aiforgood #aiforhealth #dataprivacy #aisafety
-
-
Please join us in congratulating MIT Jameel Clinic - AI & Health Entrepreneurship faculty lead Dimitris Bertsimas on his appointment to vice provost of MIT Open Learning! We look forward to seeing how his work will transform learning inside and outside of MIT campus. Full announcement: https://lnkd.in/e_KkQADT #aiforgood #aieducation #edtech #leadership
-