For the past 25 years, one discipline has been revolutionizing epidemiology: phylodynamics. By using genetic sequences, scientists can study how pathogens evolve. Thanks to mathematics, these data can be coherently organized into phylogenetic trees, with each branch representing a chain of transmission and each leaf representing an individual’s infection.

Large language models (LLMs) like ChatGPT are widely used for public health information retrieval. Prior urological studies have mainly validated ChatGPT performance based on AUA and EAU guidelines, while evidence aligned with CUA guidelines remains scarce. This study by Wyatt MacNevin’s team from Dalhousie University evaluated the appropriateness and reliability of ChatGPT-4.0 responses to common patient-oriented urological questions using CUA guidelines as the benchmark.

Researchers from three institutions, including UC Santa Barbara, have demonstrated that artificial intelligence (AI) has the potential to make future visual prostheses, like a bionic eye, more precise, predictable and responsive to an individual user.

UCSB associate professor of computer science Michael Beyeler and his colleagues used a deep-learning model to design patterns of electrical stimulation for electrodes temporarily implanted in the visual cortex

Flinders University researchers have evaluated two next-generation reasoning Large Language Models (LLMs) - o3-mini and DeepSeek-R1 - and found that when asked to describe fictional patients with common medical conditions, these models frequently reproduced racial and gender stereotypes, indicating that advancements in AI reasoning do not inherently improve representational fairness.

A new study led by researchers at Wake Forest University School of Medicine has found that artificial intelligence (AI) can help clinicians identify signs of heart failure, including a type that is often missed in routine care. The AI model also performed well using data from a single ECG lead similar to the measurement captured by some wearable devices.

Osteoarthritis (OA) is a chronic, painful joint disease and a leading cause of disability. Despite its prevalence, therapies for osteoarthritis are limited and focus on symptom management. Now, researchers are combining genetic studies of Utah families with AI-based molecular biology tools to find new medications that may ultimately help treat OA at its source.

In science, the suffix “phage” means to devour. Thus, the name bacteriophage might conjure images of tiny creatures that “eat” bacteria. While that conception isn’t 100 percent scientifically accurate, bacteriophages are lethal bacteria killers nonetheless, and scientists are excited about engineering phage DNA as a path to new antibiotics.