Northwestern Medicine scientists have developed a novel synthetic biomolecular condensate that can degrade intracellular disease-causing proteins, providing a framework for new therapeutic approaches for a wide range of diseases, as detailed in a recent study published in Nature Communications.

Shana Kelley, Ph.D., the Neena B. Schwartz Professor of Chemistry, Biomedical Engineering, and Biochemistry and Molecular Genetics and the president of the Chan Zuckerberg Biohub Chicago, was senior author of the study.

Targeted protein degradation is an emerging therapeutic strategy that harnesses cells’ own degradation machinery to clear disease-cau...

University of Florida researchers are exploring how lasers could help astronauts build structures on the moon using materials already available there, including lunar soil transformed into glass. The work, led by Victoria M. Miller, Ph.D., an associate professor in the Herbert Wertheim College of Engineering and researcher with the UF Astraeus Space Institute, recently completed a research phase focused on laser forming, a manufacturing process that bends materials without physical contact.

The team’s latest paper, published in Lasers in Manufacturing and Materials Processing, examined how different atmospheric conditions affect laser bending, an important question for future manufacturing in the vacuum of space...

For millions of people living with osteoarthritis, daily life can involve a frustrating cycle of pain and stiffness. While current treatments like over-the-counter medications or steroid injections can temporarily dull the ache, they do not stop the joint from deteriorating. A Yale study published in the journal Bioactive Materials found that the medication lacosamide acts as a highly effective, dual-purpose treatment that relieves joint pain and reverses cartilage damage in osteoarthritis, especially when a specialized hydrogel delivers the drug directly into the joint.

Understanding osteoarthritis
Oste...

To accelerate and refine decision-making in a fast-paced, global marketplace, enterprises may deploy generative artificial intelligence models to help summarize and interpret the charts that often fill market summaries and financial reports.

But even the latest vision-language models sometimes struggle with this task, since it requires a model to integrate visual, numerical, and linguistic understanding. A company that invests in a state-of-the-art model might still receive inaccurate or incomplete information.

To fill this performance gap, researchers from MIT and the MIT-IBM Computing Research Lab developed a multifaceted resource for AI users that is specifically designed to teach vision-language models (VLMs) how to effectively interpret charts.

They used a novel data gen...