UC San Diego researchers have developed T1GRS, a machine‑learning model that accurately predicts genetic risk for Type 1 diabetes, paving the way for earlier diagnosis and more personalized treatment. 

The results suggest that chaperone-mediated autophagy, a cellular ‘selective cleaning’ system, could become a new therapeutic target. The study, published in Acta Neuropathologica Communications, was conducted using human tissues from clinical trials and opens new avenues for the development of treatments to slow the progression of ALS.

Cancer cells survive by repairing damage to their DNA—even damage that would normally be fatal. One of their most important defense systems is homologous recombination, a high-precision repair pathway that fixes broken DNA using key proteins such as RAD51 and CHK1. While therapies such as PARP inhibitors have successfully targeted this vulnerability, many tumors eventually regain their DNA repair ability and become resistant to treatment.