BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Bioinformatics, 2020. [All Versions]. Answering medical questions, identifying relevant clinical trials, and diagnosing diseases based on symptoms, making medical information more accessible to the general public.
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BioBERT github.com
paper - code - A PubMed and PubMed Central-trained version of the BERT language model.
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SciBERT: A Pretrained Language Model for Scientific Text aclanthology.org
EMNLP'19, 2019. [All Versions]. Searching and synthesizing scientific literature, aiding researchers in hypothesis generation, and assisting with experimental design, making scientific knowledge more accessible.
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BioMedLM huggingface.co
2.7B parameter GPT-2-style language model trained exclusively on biomedical literature from PubMed for biomedical question answering and text generation.
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ChemBERTa-2 github.com
RoBERTa-based molecular language model pretrained on SMILES for small-molecule representation learning.
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Assessing the research landscape and clinical utility of large language models: a scoping review doi.org
a high-level review of LLM applications in medicine as of March 2024.
AGI & CoCoSci › Papers > Science Logology > AI Assisted Research: “Bioinformatics, 2020. [All Versions]. Answering medical questions, identifying relevant clinical trials, and diagnosing diseases based on symptoms, making medical information more accessible to the general public.”