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.
Mayo Clinic researchers have developed an experimental drug with the help of artificial intelligence (AI) to target the "undruggable" PDZ-domain of GIPC1 protein that helps different types of cancer, including pancreatic cancer, to grow and resist treatment. In laboratory studies, the drug slowed tumor growth, improved survival and enhanced the effects of the chemotherapy drug gemcitabine.
AI companions are becoming increasingly popular, with millions of users forming deep connections with persona-based chatbots and simulated AI partners. But if you’re considering leaning on an AI companion for emotional support, a study by researchers in the lab of Diyi Yang, an assistant professor in the Computer Science Department at Stanford, suggests you might want to think twice: As reported in Nature Human Behavior, the researchers found that opening up to chatbots about personal issues made some people feel not better but worse.
Artificial intelligence (AI) is becoming increasingly powerful at reading pathology slides. But a new Perspective in Science Bulletin argues that accuracy alone is not enough. For AI to truly help pathologists, it must work safely and transparently in real clinical settings.
The research article discusses how computational pathology is moving from technical innovation toward clinical integration.