BioMedLM
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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- Computational Biology
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- 2026-10-10
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BioBERT: a pre-trained biomedical language representation model for biomedical text mining academic.oup.com
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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Large language models in healthcare: A comprehensive benchmark dx.doi.org
a statistical and human evaluation of sixteen different LLMs applied to medical language tasks.
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Ethical and regulatory challenges of large language models in medicine doi.org
a review of ethical issues arising from applications of LLMs in biomedicine.
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BioGPT github.com
paper - A GPT-2 model pre-trained on 15 million PubMed abstracts, along with fine-tuned versions for several biomedical tasks.
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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.
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ChemBERTa-2 github.com
RoBERTa-based molecular language model pretrained on SMILES for small-molecule representation learning.
Computational Biology › Machine Learning Tasks and Models > LLM for Biology: “2.7B parameter GPT-2-style language model trained exclusively on biomedical literature from PubMed for biomedical question answering and text generation.”