BATMAN brings TCR therapy out of the shadows
Peer-Reviewed Publication
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.
Updates every hour. Last Updated: 27-Dec-2025 22:11 ET (28-Dec-2025 03:11 GMT/UTC)
Cold Spring Harbor Laboratory quantitative biologists have developed an AI model to better predict interactions between immune cells and the peptides they target in T cell receptor therapy. Their work could lead to improved cancer treatments and help answer important questions about the immune system.
Ionic liquids (ILs) are a class of molten salts with a collection of exciting properties, which have been employed for wide-ranging applications across chemistry, biology, and materials science. However, their inherently high viscosity hinders the ability of molecular dynamics (MD) simulations to explore their structure-property relationships on large spatiotemporal scales. Coarse-grained (CG) models address this challenge by retaining essential structural features while eliminating some atomic details, significantly reducing computational costs. A team of theoretical chemists presented the latest advances in IL CG models, with particular emphasis on the procedures for developing efficient CG models and parameterization methods with the aid of machine learning models. They also summarized applications of CG models in biological and electrochemical systems. This work was published in Industrial Chemistry & Materials on 09 Jun 2025.
Current methods to predict landslides rely primarily on rainfall intensity. Now, a new model combines various water-related factors with machine learning. When applied to more than 600 landslides in California, model identified the conditions that caused 89% of the events.
An estimated 12% of first graders’ most-used media at home is educational, a new study suggests. Results also showed that higher use of educational media was associated with both more time spent reading and less overall time in front of a screen – a signal that educational video, app and game use is not replacing reading.
New research from the University of South Australia has revealed that tertiary students’ learning habits are deeply connected to how they engage with generative artificial intelligence tools. Surveying 435 students from Australia and Canada, the study investigated how confidence, motivation, and effort regulation influence perceptions of AI-powered tools such as ChatGPT.
POSTECH and Jeonbuk National University Team Demonstrates First Bidirectional Asymmetric Frequency Conversion in a Single System.