Theory, computation, and simulation are foundational to modern energy research. Theoretical understanding reveals why materials and systems behave as they do, predicting performance before experiments ...

There's a shift happening in how safety and efficacy are evaluated across drug development, chemicals, and ...

A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden changes in fluid behaviour, improving speed and cost of identifying these ...

How does Alzheimer’s target specific brain cells? Researchers are building a multiscale model of the hippocampus to map neuronal loss and cognitive decline.

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

Researchers have discovered a new way to drive chemical reactions that could generate a wide variety of azetidines -- four-membered nitrogen heterocycles that have desirable pharmaceutical properties.

This work reviews CM-cfDNA methods applied to clinical oncology, emphasizing both machine learning (ML) techniques and mechanistic approaches. The latter integrate biological principles, enabling a ...

February 12, 2026 | Ami Bhatt and David Hoganson explore how 3D modeling and simulation are impacting cardiac care and surgery in young patients. Receive the the latest news, research, and ...

When engineers at Sumitomo Riko needed to speed up the design cycle for automotive rubber and polymer components, they turned ...

CAMBRIDGE, MA — Researchers from MIT and the University of Michigan have discovered a new way to drive chemical reactions that could generate a wide variety of compounds with desirable pharmaceutical ...