1.2k citations
- University of FloridaUS31 papers
- Columbia UniversityUS6 papers
- University of Florida HealthUS4 papers
- Eötvös Loránd UniversityHU3 papers
- University of Central FloridaUS3 papers
- Chinese Academy of SciencesCN2 papers
- Cornell UniversityUS2 papers
- Harvard UniversityUS2 papers
- Northwestern UniversityUS2 papers
- Pennsylvania State UniversityUS2 papers
- Stanford UniversityUS2 papers
- Texas Tech UniversityUS2 papers
33 papers
Position: Evaluation Scores Are Perishable Knowledge Claims
Sankalp Gilda, Shlok Gilda
Evaluation methodologies for language models increasingly combine multiple signals, from automated metrics and LLM-as-judge ratings to human assessments and benchmark suite results…
A Functional Human Liver Tissue Model: 3D Bioprinted Co-culture Discoids
Vignesh Subramaniam, Carolina Abrahan, Brett R. Higgins +6
To reduce costs and delays related to developing new and effective drugs, there is a critical need for improved human liver tissue models. Here we describe an approach for 3D biopr…
Environment Scan of Generative AI Infrastructure for Clinical and Translational Science
Betina Idnay, Zihan Xu, William G. Adams +54
This study reports a comprehensive environmental scan of the generative AI (GenAI) infrastructure in the national network for clinical and translational science across 36 instituti…
A Study of Generative Large Language Model for Medical Research and Healthcare
Cheng Peng, Xi Yang, Aokun Chen +16
There is enormous enthusiasm and concerns in using large language models (LLMs) in healthcare, yet current assumptions are all based on general-purpose LLMs such as ChatGPT. This s…
Deep Learning Predicts Prevalent and Incident Parkinson's Disease From UK Biobank Fundus Imaging
Charlie Tran, Kai Shen, Kang Liu +5
Parkinson's disease is the world's fastest-growing neurological disorder. Research to elucidate the mechanisms of Parkinson's disease and automate diagnostics would greatly improve…
BatmanNet: Bi-branch Masked Graph Transformer Autoencoder for Molecular Representation
Zhen Wang, Zheng Feng, Yanjun Li +5
Although substantial efforts have been made using graph neural networks (GNNs) for AI-driven drug discovery (AIDD), effective molecular representation learning remains an open chal…