Research

New Model Offers a Way to Speed Up Drug Discovery

Huge libraries of drug compounds may hold potential treatments for a variety of diseases, such as cancer or heart disease. Ideally, scientists would like to experimentally test each of these compounds against all possible targets, but doing that kind of screen is prohibitively time-consuming.

In recent years, researchers have begun using computational methods to screen those libraries in hopes of speeding up drug discovery.

New "AI Doctor" Predicts Hospital Readmission and Other Health Outcomes

An artificial intelligence (AI) computer program can read physicians’ notes to accurately estimate patients' risk of death, length of hospital stay, and other factors important to care. Designed by a team led by researchers at NYU Grossman School of Medicine, the tool is currently in use in its affiliated hospitals to predict the chances that a patient who is discharged will be readmitted within a month.

Digital Tool Spots Academic Text Spawned by ChatGPT with 99% Accuracy

Heather Desaire, a chemist who uses machine learning in biomedical research at the University of Kansas, has unveiled a new tool that detects with 99% accuracy scientific text generated by ChatGPT, the artificial intelligence text generator.

The peer-reviewed journal Cell Reports Physical Science published research showing the efficacy of her AI-detection method, along with sufficient source code for others to replicate the tool.

Using AI to Create Better, More Potent Medicines

While it can take years for the pharmaceutical industry to create medicines capable of treating or curing human disease, a new study suggests that using generative artificial intelligence could vastly accelerate the drug-development process.

Today, most drug discovery is carried out by human chemists who rely on their knowledge and experience to select and synthesize the right molecules needed to become the safe and efficient medicines we depend on.

Five Types of Heart Failure Identified Using AI Tools

Five subtypes of heart failure that could potentially be used to predict future risk for individual patients have been identified in a new study led by UCL researchers.

Heart failure is an umbrella term for when the heart is unable to pump blood around the body properly. Current ways of classifying heart failure do not accurately predict how the disease is likely to progress.

Scientists Use AI to Find Promising New Antibiotic to Fight Evasive Hospital Superbug

Scientists at McMaster University and the Massachusetts Institute of Technology have used artificial intelligence (AI) to discover a new antibiotic which could be used to fight a deadly, drug-resistant pathogen that strikes vulnerable hospital patients.

The process they used could also speed the discovery of other antibiotics to treat many other challenging bacteria.

AI Tool Outperforms Human Emergency Call Handlers in Identifying Stroke, New Study Shows

A team of researchers from Denmark have developed a new artificial intelligence (AI) framework to address the number of strokes that go unrecognised by human emergency call handlers.(1) The framework outperformed emergency call handlers in recognising stroke for both sexes and across all age groups studied, indicating its potential as a supplementary tool for early and precise stroke identification in the future.

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