The study, “IDP-T5CKNN: A Protein Language Model for Prediction of Intrinsically Disordered Proteins,” was carried out by Deepak Chaurasiya in Current Computer Science.

A researcher at the Indian Institute of Information Technology, Allahabad, has developed a new lightweight computational method for identifying the flexible, structurally unpredictable regions of proteins that are linked to cancer, cardiovascular disease, and neurodegeneration, and has shown that it outperforms over 20 existing tools on a standard benchmark, without requiring the heavy computing power that state-of-the-art deep learning methods demand.

In an analysis of data on adolescents and young adults with breast cancer, lower income and younger age were linked with delays in care. The analysis published by Wiley online in CANCER, also found that women who experienced delays in cancer diagnoses tended to have later stages of disease.

A global survey by the IFCC found that most labs testing children for cardiac troponin, a protein that signals heart muscle damage, rely on adult reference ranges. Among labs offering in-house testing, 65.5% lacked child-specific intervals, and the few that had them used inconsistent cutoffs with no agreed method for deriving them. Because children’s troponin tests are used for varied conditions like Kawasaki disease, heart infections, and cancer-treatment damage, the researchers argue that one generic pediatric range isn’t enough and condition-specific benchmarks are needed. The study’s authors call for coordinated global action to develop pediatric reference intervals and clearer clinical guidance.

A new study combining mouse experiments and human datasets explores how biological sex and aging shape cancer immunity, with implications for immunotherapy responses.

A comprehensive review published in iMetaMed reveals that cysteine peptidases, particularly cathepsins B, S, L, and X, serve as critical regulators of antigen-presenting cell function and antitumor immunity. The study systematically elucidates how these enzymes govern antigen processing, MHC loading, cross-presentation, and immune signaling, while their dysregulation drives tumor immune evasion through excessive antigen degradation and checkpoint modulation. The authors propose that targeted modulation of cysteine peptidase activity represents a promising strategy to overcome immunotherapy resistance.