In the hunt for new therapeutics for cancer and infectious diseases, lasso peptides prove to be a catch. Their knot-like structures afford these molecules high stability and diverse biological activities, making them a promising avenue for new therapeutics. To better unleash their clinical potential, a team from the Carl R. Woese Institute for Genomic Biology developed LassoESM, a new large language model for predicting lasso peptide properties.

Researchers at Rice University, UTHealth School of Dentistry, and The University of Texas M.D. Anderson Cancer Center have developed a smartphone-based imaging system, mDOC, to help dental professionals identify patients who may need referral for oral cancer evaluation. The device captures white light and autofluorescence images of the mouth and uses a machine learning algorithm to assess risk. In a study of 50 patients at community dental clinics, the system demonstrated 60 percent sensitivity and 88 percent specificity in identifying lesions requiring expert review—outperforming standard clinical exams. The technology offers a fast, low-cost tool to support early detection and timely referral in routine dental care settings.

A landmark study led by University’ experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack.

MIT researchers developed a training method that teaches vision-language generative AI models to localize a specific object, like a person’s pet, in a new scene.

A team from the the Universitat Jaume I (UJI) has developed an innovative robotic platform, powered by artificial intelligence, that promises to revolutionize the design of sustainable chemical processes. The system, named Reac-Discovery, makes it possible to optimize in just a few days what previously could take months or even years of work in a traditional laboratory, thanks to its high level of integration and automation.

Healing doesn’t end with treatment. As cancer survivorship grows, many continue to struggle with anxiety and depression – often in silence. A new review highlights how caring-healing modalities (CHMs) like mindfulness and peer support can build resilience and reduce emotional distress. These human-centered approaches shift focus from treatment to healing, helping survivors reclaim their sense of self. Rooted in empathy and emotional expression, CHMs offer a whole-person approach that meets the deep psychological needs often overlooked in survivorship care –especially among breast cancer survivors.