Findings support model in which accelerated biological aging of mammary epithelia may underpin breast cancer susceptibility ...

Combining machine learning and feature selection, this research accurately predicts aluminum levels in marine environments, ...

Researchers at City of Hope®, a cancer research and treatment organization, and the University of California, Berkeley, have created a novel microfluidic platform that can assess women’s breast cancer ...

Researchers at City of Hope, a cancer research and treatment organization, and the University of California, Berkeley, have created a novel microfluidic platform that can assess women's breast cancer ...

A new machine learning tool called PhysMAP separates the electrical signatures of different cell types, offering a new way to ...

Scientists have introduced two groundbreaking tools—PhysMAP and an active pixel power control laser system—that offer unprecedented precision in identifying and manipulating brain cell activity.

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

The Conversation is an independent and nonprofit source of news, analysis and commentary from academic experts. By Angelica P ...

Our findings suggest that umbilical cord blood could help clinicians and parents more proactively address a child’s risk for Type 1 diabetes. Cord blood is often tossed out during the birthing process ...

When probes are inserted into the brain for research or clinical purposes, the electrical activity of neurons is recorded.

At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...