Professor Constantino Tsallis “Knowledge and Uncertainty in Physics – Foundations and Applications”

Posted on 25/11/202008/03/2022 by karaka

Can AI help predict which heart-failure patients will worsen within a year? 12/03/2026

Researchers at MIT, Mass General Brigham, and Harvard Medical School developed a deep-learning model to forecast a patient’s heart failure prognosis up to a year in advance.

Alex Ouyang | Abdul Latif Jameel Clinic for Machine Learning in Health

3 Questions: On the future of AI and the mathematical and physical sciences 11/03/2026

Professor Jesse Thaler describes a vision for a two-way bridge between artificial intelligence and the mathematical and physical sciences — one that promises to advance both.

Laboratory for Nuclear Science

A better method for planning complex visual tasks 11/03/2026

A new hybrid system could help robots navigate in changing environments or increase the efficiency of multirobot assembly teams.

Adam Zewe | MIT News

3 Questions: Building predictive models to characterize tumor progression 10/03/2026

Assistant Professor Matthew Jones is working to decode molecular processes on the genetic, epigenetic, and microenvironment levels to anticipate how and when tumors evolve to resist treatment.

Lillian Eden | Department of Biology

Studying the genetic basis of disease to explore fundamental biological questions 06/03/2026

Eliezer Calo’s studies of craniofacial malformations have yielded insight into protein synthesis and embryonic development.

Anne Trafton | MIT News

New insights into a hidden process that protects cells from harmful mutations 05/03/2026

Research reveals how cells may activate a compensation system that can reduce the effects of harmful genetic mutations. This could inform gene therapy development.

Shafaq Zia | Whitehead Institute