OpenAI and FDA Discuss AI for Drug Evaluation
OpenAI has been in discussions with the FDA about using artificial intelligence to accelerate drug evaluations. These talks have centered around a project known as cderGPT, which aims to assist the Center for Drug Evaluation in regulating over-the-counter and prescription drugs in the U.S., as reported by Wired.
The meetings, which have included associates from Elon Musk's Department of Government Efficiency, are part of a broader FDA initiative to modernize the drug approval process with AI technology. The FDA's AI officer, Jeremy Walsh, has been leading these discussions, although no formal agreements have been made yet.
The FDA has been exploring AI's potential to streamline the drug review process, which traditionally takes about a year. While AI could help shorten this timeline, questions remain about the reliability of AI models in such critical applications. The FDA has existing mechanisms to expedite drug evaluations, such as fast track and breakthrough therapy designations, but integrating AI could further enhance these processes.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Life Sciences
Sep 20 IDC Names ZS a Leader in Life Sciences Evidence Services Sep 20 Brainomix Selected for UK Future Fifty Programme Sep 19 Rutgers and RWJBarnabas Health Launch AWS Health Innovation Hub Sep 19 Vetology Rebuilds 94 Veterinary Radiology AI Classifiers Sep 19 NAVER D2SF Backs ImpriMed in $10 Million Bridge RoundLife AI Weekly
Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Unisys Publishes AI Evaluation Framework for Drug Repurposing
Anthropic and OpenAI leave AI evaluator access details open
OpenAI Chief Scientist Calls for Slower AI Scaling
ARPA-H Awards UpDoc Up to $9.2 Million for Clinical AI
OpenAI Says It Reached Its Automated Research Intern Goal
Daily AI Brief: the AI news that matters, in your inbox.