This contrast points out the very critical limitations of LLMs and opens the door for the emerging frontier of large concept ...

Arkansas College Art History Symposium has extended its deadline to Sunday for Arkansas undergraduate students to submit abstracts of papers to be given March 6-7 at the U of A School of Art.

The Trump administration had an opportunity to spark a resurgence in American innovation through intellectual property reform ...

The documents offer nonbinding advice to the drug and medical device industries on technological advances. Drug development: One draft guidance puts guardrails around AI models used to help create ...

AI tools can help doctors synthesize all the information that goes into a clinical decision. Khanchit Khirisutchalual/iStock via Getty Images Plus The practice of medicine has undergone an ...

9 In October 2024, HeartFlow announced that Plaque Analysis will be covered by 4 of 7 Medicare Administrative Contractors (MAC), and that the American Medical Association (AMA) has issued a new ...

In this article, we will explore the critical role of data integrity and accessibility in maximizing AI's potential to revolutionize the pharmaceutical industry through the power of data systems.

A new artificial intelligence tool developed at Stanford Medicine combines data from medical images with text to predict cancer prognoses and treatment responses.

As recently as a few years ago, scientists thought there were only a few hundred distinct cell types, but new technologies ...

Abstract’s AI Regulatory Platform pulls data from 145,000 government bodies and leverages a proprietary database of over seven million regulatory records New solution is a force-multiplier ...

edYOU is an online platform that leverages the power of AI to help students of all ages — from kindergarteners to medical doctors — achieve their goals. Before establishing edYOU, founder Dr.

Abstract is building the future of regulatory intelligence with its AI platform. Leveraging the latest AI technologies including Large Language Models (LLMs) and Retrieval-Augmented Generation ...