5 papers
Knowledge Acquisition During Pre-training? Large Language Models Learn Better With Auxiliary Views
Joseph Lee, Yidi Huang, Dokyoon Kim +2
Gaps remain in our understanding of how large language models (LLMs) acquire knowledge during pre-training. We find that auxiliary views, conceptual reformulations, are key to this…
Linking spatial biology and clinical histology via Haiku
Yan Cui, Jacob S. Leiby, Wenhui Lei +6
Integrating molecular, morphological, and clinical data is essential for basic and translational biomedical research, yet systematic frameworks for jointly modeling these modalitie…
iSight: Towards expert-AI co-assessment for improved immunohistochemistry staining interpretation
Jacob S. Leiby, Jialu Yao, Pan Lu +17
Immunohistochemistry (IHC) provides information on protein expression in tissue sections and is commonly used to support pathology diagnosis and disease triage. While AI models for…
Modeling Path Importance for Effective Alzheimer's Disease Drug Repurposing
Shunian Xiang, Patrick J. Lawrence, Bo Peng +4
Recently, drug repurposing has emerged as an effective and resource-efficient paradigm for AD drug discovery. Among various methods for drug repurposing, network-based methods have…
Network reinforcement driven drug repurposing for COVID-19 by exploiting disease-gene-drug associations
Yonghyun Nam, Jae-Seung Yun, Seung Mi Lee +7
Currently, the number of patients with COVID-19 has significantly increased. Thus, there is an urgent need for developing treatments for COVID-19. Drug repurposing, which is the pr…