Author profile
Department of Radiation Oncology, University of California San Francisco
Kinase-substrate interactions are inherently directional: kinases phosphorylate substrates, not vice versa, yet most network-based methods ignore this asymmetry, potentially discarding predictive signal.1 We investigated whether respecting biological directio...
Decoder large language models (LLMs) like ChatGPT and Claude show excellent text understanding in general domains but remain under-aligned to oncology-specific clinical context. This study aims to design and validate an alignment pipeline for decoder-based LL...
The rapid advancement of Vision-Language Models (VLMs) offers transformative potential for automated radiology; however, their ability to interpret 3D brain tumor imaging remains underexplored. This study introduces a rigorous benchmark to evaluate the diagno...