An innovative network medicine study mapping nearly ten thousand environmental chemicals reveals that diverse substances disrupt the same core biological pathways to predictably cause disease.
Most Recent Articles
Proteogenomic Analysis of 478 Tumors Identifies a High-Risk MYC-Driven Lymphoma Subtype
Advanced machine learning models combining genetic and protein data have mapped a highly aggressive, therapy-resistant subtype of diffuse large B-cell lymphoma to guide personalized cancer treatments.
Precision Inhaled Therapeutics Overturn Macro-Macrophage Paradigms in Experimental Silicosis Models
A scientific breakthrough reveals that the airway lining drives the devastating lung scarring caused by silica dust, identifying a vital new target for inhaled precision treatments.
Multi-Center Evaluation of Automated Subspecialty Routing and Latency in Blood Cancer Triage
A novel, locally deployable artificial intelligence assistant named HemaGuide matches expert tumor board treatment decisions in over eighty percent of complex blood cancer cases
Meta-Analysis of 550,385 Participants Quantifies Cardiotoxicity in Leukemia and Lymphoma
A comprehensive multi-decade meta-analysis demonstrates that leukemia and lymphoma survivors face a profoundly elevated long-term risk of developing severe heart failure, stroke, and ischemic heart disease.