they can be rapidly adapted and fine-tuned for specific tasks, eliminating the need to develop new models from the ground up. This adaptability is crucial
[Bioinformatics] MedCPT: A method for zero-shot biomedical information retrieval using contrastive learning with PubMedBERT.[Paper][Code] [arXiv] Pmc-llama: Towards building open-source language models for medicine.[Paper][Code] [arXiv] Meditron-70b: Scaling medical pretraining for large language...
[Bioinformatics] MedCPT: A method for zero-shot biomedical information retrieval using contrastive learning with PubMedBERT.[Paper][Code] [arXiv] Pmc-llama: Towards building open-source language models for medicine.[Paper][Code] [arXiv] Meditron-70b: Scaling medical pretraining for large language...
These findings represent the transformative potential of medical foundation models to unlock the role of artificial intelligence in the care of patients with cancer.doi:10.1038/s41586-024-08169-3Kondepudi, AkhilComputational Medicine and Bioinformatics, University of Michigan, Ann Arbor, USAPekmezci, ...
Large pretrained models have become foundation models leading to breakthroughs in natural language processing and related fields. Developing foundation models for deciphering the ‘languages’ of cells and facilitating biomedical research is promising yet challenging. Here we developed a large pretrained model...
Drug repurposing—identifying new therapeutic uses for approved drugs—is often a serendipitous and opportunistic endeavour to expand the use of drugs for new diseases. The clinical utility of drug-repurposing artificial intelligence (AI) models remains
Generative pretrained models have achieved remarkable success in various domains such as language and computer vision. Specifically, the combination of large-scale diverse datasets and pretrained transformers has emerged as a promising approach for developing foundation models. Drawing parallels between languag...
Accessing the SEED Genome Databases via Web Services API: Tools for Programmers The backend is used as the foundation for many genome annotation tools, such as the Rapid Annotation using Subsystems Technology (RAST) server for whole ... T Disz,S Akhter,D Cuevas,... - 《Bmc Bioinformatics》...
while declaring herself convinced of the immense biomedical potential of the CRISPR technique: "One promising avenue is its indirect use in biomedical experiments, where it can serve to pinpoint defective genes in animal models an...
Computational tumor purity is calculated by fitting the observed log-ratio and minor allele frequency data with statistical models that predict a genome-wide copy number profile, tumor ploidy, and tumor purity (i.e., computational tumor purity). The log-ratio profile is obtained by normalizing ...