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: 31-Dec-2025 02:11 ET (31-Dec-2025 07:11 GMT/UTC)

24-Nov-2025

Calcium-sensitive switch boosts the efficacy of cancer drugs

KTH, Royal Institute of Technology
Peer-Reviewed Publication

Cancer-fighting antibody drugs are designed to penetrate tumor cells and release a lethal payload deep within, but too often they don’t make it that far. A new study shows how this Trojan Horse strategy works better by exploiting calcium differences outside and inside cells. A research team led by Sophia Hober, professor at KTH Royal Institute of Technology, reported the development of a calcium activated delivery system they say could enable more precise treatment, with lower doses and less collateral damage to healthy tissue.

Journal: Proceedings of the National Academy of Sciences
Funder: Swedish Research Council, Cancerfonden

24-Nov-2025

Connections with nature in protected areas

University of Göttingen
Peer-Reviewed Publication

Protected areas are often seen as refuges for plants and animals – yet they are also places where people live, work and relax. A new study led by the University of Göttingen in Germany, in collaboration with the Universities of Kassel in Germany, Jyväskylä in Finland, and Stockholm in Sweden, shows how deeply people are connected to these landscapes. The research team analyzed personal stories from residents, land managers, and visitors in protected areas of the district of Göttingen. Their findings reveal that protected areas foster local identity, support learning about nature, and provide spaces for recreation, working together and community engagement. The study was published in the journal People and Nature.

Journal: People and Nature

24-Nov-2025

NCSA receives honors in 2025 HPCwire Readers’ and Editors’ Choice Awards

National Center for Supercomputing Applications
Grant and Award Announcement

NCSA was recognized by the HPCwire community for its outstanding work in artificial intelligence and high-performance computing.

24-Nov-2025

Cassidy Bio launches with the goal to develop safer, more scalable gene editing therapies

Bar-Ilan University
Business Announcement

Cassidy Bio, a biotechnology company developing the first AI-driven genomic foundation model to enhance the design of gene editing therapies, today announced its launch and the closing of an $8 million seed financing round. The company will use the funding to advance its platform, built as a holistic solution designed to bring precision, speed, and clinical confidence to the rapidly growing field of gene therapies.

Prof. Ayal Hendel, a leading researcher in genome editing and gene therapy at the Goodman Faculty of Life Sciences at Bar-Ilan University, serves as the Chief Scientific Officer at Cassidy Bio.

24-Nov-2025

Advancing coastal research with AI-guided, 3-D-printed, biodegradable sensors

Texas A&M University

A NASA-funded effort that combines advanced 3-D printing, biodegradable materials and artificial intelligence to protect vulnerable coastal environments will be strengthened by the research of Dr. Chukwuzubelu Ufodike in Texas A&M University’s Department of Engineering Technology and Industrial Distribution.

24-Nov-2025

New AI framework boosts renewable syngas production efficiency

Zhejiang University
Peer-Reviewed Publication

Producing clean syngas from biomass and plastic waste offers a promising route toward sustainable energy, but the underlying thermochemical processes are highly complex and difficult to optimize.

Journal: Waste Disposal & Sustainable Energy

24-Nov-2025

Pusan National University researchers develop model to accurately predict vessel turnaround time

Pusan National University
Peer-Reviewed Publication

Growing port congestion demands smarter management. In a new study, researchers developed a dynamic forecasting framework using real-time operation indicators from a two-stage queuing model to predict vessel turnaround time. Tested with data from Busan Port, the model achieved up to 28% higher accuracy than traditional methods. By improving berth planning and resource allocation, this approach can significantly enhance efficiency and reduce delays in global port operations.

Journal: Advanced Engineering Informatics