EurekAlert! In the Spotlight - Artificial Intelligence

Welcome to In the Spotlight, where each month we shine a light on something exciting, timely, or simply fascinating from the world of science.

This month, we’re focusing on artificial intelligence (AI), a topic that continues to capture attention everywhere. Here, you’ll find the latest research news, insights, and discoveries shaping how AI is being developed and used across the world.

Latest News Releases

Updates every hour. Last Updated: 3-Nov-2026 00:15 ET (3-Nov-2026 05:15 GMT/UTC)

15-Oct-2026

Adaptive molecular convergence more common than previously thought

University of California - Santa Barbara
Peer-Reviewed Publication

A new study has found that adaptive molecular convergence — the process by which distantly or unrelated species evolve the same genomic changes — is not as rare as previously thought. Reconstructing and studying sections of jellyfish genomes to the deep past, researchers found evidence of identical genetic changes in multiple lineages separated by even more than 600 million years.

Journal: Proceedings of the National Academy of Sciences

15-Oct-2026

UT MD Anderson shares latest research breakthroughs

University of Texas M. D. Anderson Cancer Center
Peer-Reviewed Publication

First-in-class targeted therapy shows promise against hard-to-treat cancers

Tile-based radiation therapy dramatically reduced recurrence of brain metastases

Targeting individual metastases in oligometastatic breast cancer did not improve survival

Personalized guidance boosts family genetic testing for hereditary cancers

AI tool uncovers signals that either attract immune cells to tumors or keep them out

15-Oct-2026

Announcing JAMA AI - a new journal from the JAMA Network

JAMA Network
Business Announcement

The JAMA Network announces the launch of JAMA AI, a new peer-reviewed online journal dedicated to publishing clinical research on artificial intelligence, digital health, and emerging technologies that are transforming medicine and health care. JAMA AI will begin accepting submissions in early 2027 and will be the 14th journal in the JAMA Network.

15-Oct-2026

Study characterizes clinicians’ use of the AI platform OpenEvidence

Mass General Brigham
Peer-Reviewed Publication

Mass General Brigham and Harvard Medical School researchers analyzed more than 270 million queries from nearly 1 million clinicians using the AI platform OpenEvidence, finding widespread adoption and showing that clinicians often use AI to support treatment decisions, rather than diagnosis, and that clinicians frequently sought information beyond their own specialty.

Journal: JAMA

15-Oct-2026

Transferable chemical prediction approach may help reduce trial and error

Yokohama National University
Peer-Reviewed Publication

Chemical predictions can help prevent unwanted medication reactions or improve efficacy of industrial processes, among other applications, but predicting how chemicals interact can be costly and time-consuming — especially as how chemicals may react in one environment may behave differently in another. A novel experimental modeling approach may help simplify the process by not only increasing the number of chemical predictions, but also the transferability of such foresight.

Journal: JACS Au
Funder: Tokyo Ohka Foundation for The Promotion of Science and Technology, Japan Science and Technology Agency, Japan Society for the Promotion of Science

15-Oct-2026

Human papillomavirus: Can we finally predict which infections will progress to cancer?

University of Liège
Peer-Reviewed Publication

Infection with human papillomavirus (HPV) is extremely common and, in the vast majority of cases, clears up on its own. However, in some people, it persists and can develop into precancerous lesions or even cancer. How can these high-risk situations be identified at an early stage?

Journal: Trends in Molecular Medicine

15-Oct-2026

Frontiers in Science Deep Dive webinar series | Large language medicine: defining a new paradigm in human health

Frontiers
Meeting Announcement

Explore how medical AI can move beyond identifying abnormalities to support earlier, more personalized disease prediction and prevention.