This survey explores the transformative impact of foundation models (FMs) in artificial intelligence, focusing on their integration with federated learning (FL) in biomedical research. Foundation models such as ChatGPT, LLaMa, and CLIP, which are trained on vast datasets through methods including unsup...
The exceptionally rapid development of highly flexible, reusable artificial intelligence (AI) models is likely to usher in newfound capabilities in medicine. We propose a new paradigm for medical AI, which we refer to as generalist medical AI (GMAI). GMAI models will be capable of carrying out ...
By integrating visual and linguistic understanding, visual–language foundation models (VLFMs) have the great potential to advance the interpretation of medical data, thereby enhancing diagnostic precision, treatment planning, and patient management. We reviewed the developmental strategies of VLFMs, detaili...
also known as protein language models. For example, evolutionary-scale modelling (ESM2) has achieved remarkable breakthroughs in atomic-level structure representations by pretraining on a vast amount of protein
[arXiv] Progress and opportunities of foundation models in bioinformatics.[Paper] [arXiv] Large language models in bioinformatics: applications and perspectives.[Paper] [arXiv] Data-centric foundation models in computational healthcare: A survey.[Paper] ...
[arXiv] Progress and opportunities of foundation models in bioinformatics.[Paper] [arXiv] Large language models in bioinformatics: applications and perspectives.[Paper] [arXiv] Data-centric foundation models in computational healthcare: A survey.[Paper] ...
The document representation obtained by NMF provides advantages over previous representations as it combines the best properties found in other models [27–29]. First, like other factorization methods, it reduces the dimensionality of the initial space originally formed by terms and documents. Second,...
Morgan E. Levine, Ph.D. is a ladder-rank Assistant Professor in the Department of Pathology at the Yale School of Medicine and a member of both the Yale Combined Program in Computational Biology and Bioinformatics and the Yale Center for Research on Agin
Since released exosomes express molecules with biologic activity (such as Fas ligand, PD-1, MICA/B, mdr1, MMPs, CD44, and autoreactive antigens), the ability of these microvesicles to modulate lymphocyte and monocyte functions have been analyzed in several models. It has been theorized that ...
13B using tubulin blot as a loading control in place of HSP90. (B) Scatter plots of NNMT mRNA expression as a function of BRCA1 and CDK12 mRNA expression in HGSOC tumors from patients and PDX models (left two panels). Scatter plots of NNMT protein as a function of BRCA1 mRNA and ...