Generative Large Language Models in Electronic Health Records for Patient Care Since 2023: A Systematic Review
This work systematically reviewed the use of generative LLMs, and the effectiveness of relevant techniques in patient care-related topics involving EHRs, summarize the challenges faced, and suggest future directions.
Aug 19, 2024
Asymmetric contrastive multimodal learning for advancing chemical understanding
We propose an asymmetric contrastive multimodal learning framework, an effective and training-efficient framework tailored for molecules, promoting cross-modality understanding between the molecular graph and other chemical modalities.
Nov 11, 2023
COVID-19 Trend Forecasting Using State-level Mobility and Policy
We estimated the transmission rates of COVID-19 via robust regression on local mobility statistics as well as local policies.
Jan 6, 2021