Speeding up drug discovery with diffusion generative models
MIT researchers built DiffDock, a model that may one day be able to find new drugs faster than traditional methods and reduce the potential for adverse side effects.
Abdul Latif Jameel Clinic for Machine Learning in Health
MIT-Takeda Program heads into fourth year with crop of 10 new projects
The program leverages MIT’s research expertise and Takeda’s industrial know-how for research in artificial intelligence and medicine.
MIT community members elected to the National Academy of Engineering for 2023
Seven researchers, along with 14 additional MIT alumni, are honored for significant contributions to engineering research, practice, and education.
MIT researchers develop an AI model that can detect future lung cancer risk
Deep-learning model takes a personalized approach to assessing each patient’s risk of lung cancer based on CT scans.
2022-23 Takeda Fellows: Leveraging AI to positively impact human health
New fellows are working on health records, robot control, pandemic preparedness, brain injuries, and more.
Subtle biases in AI can influence emergency decisions
But the harm from a discriminatory AI system can be minimized if the advice it delivers is properly framed, an MIT team has shown.
A healthy wind
Health benefits of using wind energy instead of fossil fuels could quadruple if the most polluting power plants are selected for dialing down, new study finds.
Large language models help decipher clinical notes
Researchers used a powerful deep-learning model to extract important data from electronic health records that could assist with personalized medicine.
A far-sighted approach to machine learning
New system can teach a group of cooperative or competitive AI agents to find an optimal long-term solution.
Community members greet MIT’s 18th president
With donuts and cider in hand, students, faculty, and staff gathered on Hockfield Court to speak with President-elect Sally Kornbluth and celebrate her appointment.
Artificial intelligence model can detect Parkinson’s from breathing patterns
An MIT-developed device with the appearance of a Wi-Fi router uses a neural network to discern the presence and severity of one of the fastest-growing neurological diseases in the world.
Artificial intelligence model finds potential drug molecules a thousand times faster
A geometric deep-learning model is faster and more accurate than state-of-the-art computational models, reducing the chances and costs of drug trial failures.
Remembering Octavian-Eugen Ganea, a gifted MIT postdoc AI researcher and beloved colleague
The brilliant scientist was known for both the depth of his intellect and his kindness.
Artificial intelligence predicts patients’ race from their medical images
Study shows AI can identify self-reported race from medical images that contain no indications of race detectable by human experts.
Can artificial intelligence overcome the challenges of the health care system?
MIT and Mass General Brigham researchers and physicians connect in person to bring AI into mainstream health care.