Deep-learning technique predicts clinical treatment outcomes
A new methodology simulates counterfactual, time-varying, and dynamic treatment strategies, allowing doctors to choose the best course of action.
A new methodology simulates counterfactual, time-varying, and dynamic treatment strategies, allowing doctors to choose the best course of action.
The millionth sale of “Introduction to Algorithms” prompts Charles Leiserson and Tom Corman look back at the creation and legacy of the foundational textbook, now in its fourth edition.
Self-reconfiguring ElectroVoxels use embedded electromagnets to test applications for space exploration.
A model’s ability to generalize is influenced by both the diversity of the data and the way the model is trained, researchers report.
Online course from the MIT Center for Advanced Virtuality seeks to empower students and educators to critically engage with media.
A new deep-learning algorithm trained to optimize doses of propofol to maintain unconsciousness during general anesthesia could augment patient monitoring.
With a tensor language prototype, “speed and correctness do not have to compete ... they can go together, hand-in-hand.”
In the intensity of basic training, a smartwatch-based system warns recruits when they are at risk of heat injury.
Assistant Professor Marzyeh Ghassemi explores how hidden biases in medical data could compromise artificial intelligence approaches.
New fellows are working on electronic health record algorithms, remote sensing data related to environmental health, and neural networks for the development of antibiotics.
MIT scientist Rosalind Picard collaborates with clinicians to develop tools for mental health care delivery.
Senior research scientist and her team are designing intelligent systems that could someday transform the way we travel and consume energy.
MIT ocean and mechanical engineers are using advances in scientific computing to address the ocean’s many challenges, and seize its opportunities.
Scientists demonstrate that AI-risk models, paired with AI-designed screening policies, can offer significant and equitable improvements to cancer screening.
The findings could redefine the kinds of particles that were abundant in the early universe.