A study by University of Hawaiʻi researchers is advancing how we learn the laws that govern complex systems—from ...

The surge in AI-driven studies aligns with the sector’s reliance on predictive analytics and machine learning models to ...

Unlike earlier large language models (LLMs) that primarily pattern-matched from training data, reasoning models represent a fundamental shift from statistical prediction to structured problem-solving.

Background Digital therapeutics (DTx) show promise in bridging mental healthcare gaps. However, treatment selection often relies on availability and trial-and-error, prolonging suffering and ...

EPFL researchers have developed Systema, a new tool to evaluate how well AI models work when predicting the effects of genetic perturbations.

Background There is a lack of atrial fibrillation (AF) prediction models tailored for individuals without prior cardiovascular diseases (CVDs) to facilitate early intervention. This study aimed to ...