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BioPhys-Bridge introduces a benchmark dataset for evaluating language models on evidence-grounded scientific reasoning in biophysics, focusing on interdisciplinary tasks with quantitative and mechanistic grounding.
A PhD student shares their research on simulating red blood cell dynamics using computational methods like dissipative particle dynamics and boundary-integral methods to match experimental observations in microfluidic devices for cancer detection.
This paper proposes a framework linking partially observable Markov decision processes (POMDPs) with biochemical reaction dynamics to model phototaxis in unicellular algae, using inverse reinforcement learning to infer behavioral objectives from experimental trajectories.
Recent studies have finally elucidated the molecular mechanism of the bacterial flagellar motor, revealing how it uses proton motive force to rotate and switch directions, resolving a decades-long quest in biophysics.