Jameel Clinic
Jameel Clinic

Jameel Clinic

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MIT-Takeda Program wraps up with 16 publications, a patent, and nearly two dozen projects completed

The program focused on AI in health care, drawing on Takeda’s R&D experience in drug development and MIT’s deep expertise in AI.

Antibiotics Artificial Intelligence Bacteria Biological engineering Drug discovery Health sciences and technology Institute for Medical Engineering and Science (IMES) Jameel Clinic machine learning Medicine MIT Schwarzman College of Computing Research School of Engineering

When an antibiotic fails: MIT scientists are using AI to target “sleeper” bacteria

Most antibiotics target metabolically active bacteria, but with artificial intelligence, researchers can efficiently screen compounds that are lethal to dormant microbes.

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Five MIT faculty members take on Cancer Grand Challenges

Joining three teams backed by a total of $75 million, MIT researchers will tackle some of cancer’s toughest challenges.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical engineering and computer science (EECS) Ethics Government Health sciences and technology Jameel Clinic machine learning Medicine MIT Schwarzman College of Computing Policy School of Engineering Special events and guest speakers Technology and society

What to do about AI in health?

Although artificial intelligence in health has shown great promise, pressure is mounting for regulators around the world to act, as AI tools demonstrate potentially harmful outcomes.

Aeronautical and astronautical engineering Artificial Intelligence Aviation Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Digital technology Electrical Engineering & Computer Science (eecs) Ethics Health Care Institute for Medical Engineering and Science (IMES) Jameel Clinic machine learning MIT Schwarzman College of Computing School of Engineering Technology and policy Technology and society

Stratospheric safety standards: How aviation could steer regulation of AI in health

An interdisciplinary team of researchers thinks health AI could benefit from some of the aviation industry’s long history of hard-won lessons that have created one of the safest activities today.

Antibiotics Artificial Intelligence Biological engineering Broad Institute Drug discovery Drug resistance Institute for Medical Engineering and Science (IMES) Jameel Clinic machine learning Research School of Engineering

Using AI, MIT researchers identify a new class of antibiotic candidates

These compounds can kill methicillin-resistant Staphylococcus aureus (MRSA), a bacterium that causes deadly infections.

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2023-24 Takeda Fellows: Advancing research at the intersection of AI and health

Thirteen new graduate student fellows will pursue exciting new paths of knowledge and discovery.

Artificial Intelligence Biological engineering Broad Institute Cells Computer science and technology Data Electrical Engineering & Computer Science (eecs) Genetics Genome editing IDSS Jameel Clinic Laboratory for Information and Decision Systems (LIDS) machine learning Mechanical engineering MIT Schwarzman College of Computing MIT-IBM Watson AI Lab National Science Foundation (NSF) Research School of Engineering

A more effective experimental design for engineering a cell into a new state

By focusing on causal relationships in genome regulation, a new AI method could help scientists identify new immunotherapy techniques or regenerative therapies.

Algorithms Anthropology Archeology Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical engineering and computer science (EECS) Ethics Health sciences and technology Institute for Medical Engineering and Science (IMES) Jameel Clinic machine learning Medicine MIT Schwarzman College of Computing National Institutes of Health (NIH) Public health Race and gender Research School of Engineering Technology and society

How an archeological approach can help leverage biased data in AI to improve medicine

Although computer scientists may initially treat data bias and error as a nuisance, researchers argue it’s a hidden treasure trove for reflecting societal values.

Artificial Intelligence Cambridge, Boston and region Classes and programs Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Drug discovery Education, teaching, academics Electrical Engineering & Computer Science (eecs) Harvard-MIT Health Sciences and Technology health Institute for Medical Engineering and Science (IMES) Jameel Clinic K-12 education machine learning Media Lab Medicine MIT Schwarzman College of Computing School of Engineering Special events and guest speakers STEM education

How to help high schoolers prepare for the rise of artificial intelligence

A one-week summer program aims to foster a deeper understanding of machine-learning approaches in health among curious young minds.