Using AI to help physicians diagnose rare genetic diseases affecting children

OpenAI launches new AI model for life sciences research

Researchers are drowning in data. AI could help.

AI linked to explosion of low-quality biomedical research papers

Analysis flags hundreds of studies that seem to follow a template, reporting correlations between complex health conditions and single variables based on publicly available data sets.

OpenAI launches AI model GPT-Rosalind for life sciences research

OpenAI on Thursday introduced an artificial intelligence model touting increased biology knowledge and scientific research capabilities, ​as the startup deepens its push into the ‌life sciences field.

Performance of a large language model on the reasoning tasks of a physician

More than 65 years ago, complex clinical diagnostic reasoning cases were introduced as the gold standard for the evaluation of expert medical computing systems, a standard that has held ever since. In this study, we report the results of a physician ...

AI agents can't yet do open-ended AI research

Early evidence from two case studies

OpenAI debuts a life sciences AI model, entering crowd of tech giants selling to pharma

OpenAI became the latest tech giant to launch a life sciences-focused AI offering, aiming to build a biopharma business.

ChatGPT Health and what AI can do for a broken system

Healthcare isn’t working for patients or doctors, but AI tools can help.

Measuring AI’s capability to accelerate biological research in the wet lab

OpenAI introduces a real-world evaluation framework to measure how AI can accelerate biological research in the wet lab. Using GPT-5 to optimize a molecular cloning protocol, the work explores both the promise and risks of AI-assisted experimentation.

GraphDx: A Cost-Aware Knowledge-Enhanced Multi-Agent Framework for Sequential Diagnosis

Unlike static question answering, sequential diagnosis mirrors actual clinical workflows: physicians iteratively gather information through symptom inquiries and diagnostic tests, making decisions under uncertainty while balancing diagnostic accuracy against resource costs including monetary expense, patient discomfort, and time. This multi-turn process requires not merely knowledge recall, but systematic reasoning that coordinates information acquisition with hypothesis refinement.

Company Offering ‘100% Human-Written, Never AI’ Medical Research Is Entirely AI

Research Gold's team of human methodologists are either AI generated or using the identity of real people without their permission

OpenAI News

Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.

OpenAI launches new initiative to help find and patch open source bugs | TechCrunch

OpenAI is using AI to help the open source community better protect itself.

The argument against AI agents and unnecessary automation

Opinion: OpenAI's Operator a solution in search of a problem

OpenAI’s math breakthrough played to AI’s strengths

I tried to explain OpenAI’s solution more clearly than OpenAI did.