Inside a deep brain stimulation program at The Hospital for Sick Children (SickKids), researchers have discovered a brain signal that predicts when a child is about to lose attention—and that a brief, ...

RegVelo, a new AI technology, allows researchers to predict not only how cells acquire their identities, but what path they ...

What are the first steps that chart the path for a cell to become a blood cell, neuron cell, or pigment cell? Scientists have developed increasingly powerful tools to track those changes, but one ...

Personalised risk-based monitoring may soon be the norm for patients with diabetes at high risk of lower extremity amputation ...

Edward Kang’s RetinaMind analyzes patients’ retinal images and accurately diagnoses neurodevelopmental disorders 89 percent ...

A Zambian graduate student in the United States is developing a machine learning system designed to help African farmers ...

Researchers identify a brain signal that predicts attention loss and demonstrate that real-time, targeted stimulation can restore focus in children.

Researchers use statistical physics and "toy models" to explain how neural networks avoid overfitting and stabilize learning in high-dimensional spaces.

Ligand-based drug design combines AI and QSAR modeling to prioritize drug candidates, minimizing preclinical failures and ...

FAANG data science interviews now focus heavily on SQL, business problem solving, product thinking, and system design instead ...

A cell on its way to becoming skin pigment, blood, or nerve does not make that shift alone. It responds to a dense web of ...

Many drug and antibody discovery pathways focus on intricately folded cell membrane proteins. When molecules of a drug ...