Tag
This paper presents the first unified benchmark for pathway-guided therapy response modeling, evaluating three biologically informed architectures (BINN, GraphPath, PATH) across five cancer cohorts from The Cancer Genome Atlas for multi-label prediction of targeted therapy, radiation therapy, and survival outcomes.
This paper models cancer treatment as a belief-space planning problem using active inference, deriving an expected free-energy objective that unifies goal-directed control and information acquisition under measurement budgets. The framework is validated on real clinical data from the AACR Project GENIE, demonstrating simultaneous patient categorization and high treatment efficacy.
Researchers are testing CAR T cell therapy, originally designed for cancer, as a treatment for autoimmune diseases like multiple sclerosis, aiming to reset the immune system. The article follows a patient who received the experimental treatment.
GitLab co-founder Sid Sijbrandij open-sourced 25 TB of multi-omic tumor data and used ChatGPT-driven agents to design custom therapies, including a FAP-targeted radioligand and an mRNA vaccine, for his relapsed osteosarcoma.