A new study reveals that brain networks associated with a person’s history of traumatic experiences can temporarily quiet ...

Advancements in Artificial Intelligence forms such as computer vision, machine learning, and deep learning assist with ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

At AAPS PharmSci 360 2025, Elly Zhou says digital twins helped forecast the effects of drugs on human drugs via a digital control arm.

This study shows that excitatory cholecystokinin (CCK)-expressing neurons in hippocampal area CA3 influence hippocampal-dependent memory using multiple methods to manipulate excitatory CCK-expressing ...

In an era where insurance fraud drains billions from the global economy annually, a groundbreaking study by researchers ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

Ex vivo lung perfusion (EVLP) provides a platform for testing therapies but faces challenges in standardizing drug evaluation. At AAPS PharmSci 360, Xuanzi Zhou says digital twins accurately predict ...

On one hand, we need raw materials such as copper for the transition to climate-friendly technologies, but on the other hand, ...

Examining how to sustain professional growth in an exponentially accelerating field.

New research shows AI can use people’s faces to estimate the year a photo was taken, combining age guesses with known birth years to beat current scene-based methods. Guessing the date of a photo used ...

The rapid development and integration of artificial intelligence (AI), including predictive, generative, and emerging agentic ...