At AACR 2026, researchers discussed the promise and challenges of bringing AI-powered tools into cancer research and clinical ...
The indictment of a soldier who bet on the U.S. operation to capture President Nicolás Maduro of Venezuela put renewed focus ...
Researchers conducted a systematic review to assess the risk of bias and applicability of prediction models for fear of recurrence in patients with cancer.
For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency ...
In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...
The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...
Two-dimensional Group-III nitrides (h-BN, h-AlN, h-GaN, and h-InN) exhibit great promise for electronic and optoelectronic applications due to their hexagonal structures, thermal stability, and wide ...
Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a promising new medicine. Normally, creating better ...
Valve’s recent update on the Steam Machine has raised concerns about the device’s future viability. Spawn Wave highlights how the delay from early to late 2026, driven by shortages of critical ...
Worcester Polytechnic Institute (WPI) researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict Alzheimer's disease with nearly 93% accuracy.
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results