Artificial intelligence (AI) is rapidly improving scientists’ ability to detect chemicals in the environment and human body. A new perspective article argues that the next major step is not simply identifying more chemicals, but determining which exposures are most likely to disrupt biological systems and contribute to disease.

Published in Artificial Intelligence & Environment, the article describes a shift toward functional chemical exposomics,

Patient trust in medical professionals might hinge on what artificial intelligence (AI) has to say, according to a team led by Penn State researchers.

Using an AI chatbot roleplaying as a human doctor, the team identified how people perceive medical professionals when they think a “human” doctor consults an AI system for a second opinion during mental health consultations.

Researchers have developed a new method that enables human cells to be programmed to perform calculations and make autonomous decisions, similar to how computer chips function, which could help scientists build smarter cell-based treatments for diseases, like cancer, in the future.

In a new study published in Nature Communications, Ph.D. student Keren Roas and Dr. Lior Nissim from the Hebrew University of Jerusalem Institute for Medical Research Israel-Canada, Faculty of Medicine, created artificial genetic systems inside human cells that can process information and follow complex instructions.

Artificial intelligence (AI) is helping nurses better predict health problems before they become emergencies, according to a new review of existing research published in JMIR Nursing. The study found that AI-based nursing interventions can improve the care of people living with chronic illnesses by identifying patients at greater risk of complications, reducing unplanned hospital visits, and potentially lowering health care costs.

Faster and more effective ways to treat pseudomonas aeruginosa, a bacterium identified by the World Health Organization (WHO) as one of the most life-threatening pathogens, could be on the cards thanks to a first-of-its-kind 3D computer model developed by the University of Surrey.

The model has shown how pseudomonas aeruginosa grows and reshapes its protective layer and spreads to new surfaces.

When can we trust the results we get from AI, and when is learning impossible? Researchers have shown that there are some problems that even the most powerful AI can reliably solve, no matter how much data it’s given.

The researchers, from the University of Cambridge and the University of California Santa Barbara, designed ‘adversarial’ mathematical systems designed to fool any AI algorithm.

A new review in Advanced Cancer Research explains how artificial intelligence (AI) is being used across cancer drug discovery, from finding targets to designing and testing new drug candidates. The authors show where AI is already useful, and what still needs to improve before more AI-designed therapies can reach patients.