# Medical Literature Analysis

Bio-Medical-Llama-3-8B is a high-performance biomedical language model fine-tuned from Llama-3-8B-Instruct, specifically designed for biomedical applications with broad coverage of biomedical topics.

Palmyra-Med is a large language model specifically designed by Writer for the healthcare and biomedical domain, excelling in biomedical benchmarks and outperforming multiple mainstream models.

This model is a textual entailment model fine-tuned on the MNLI dataset based on PubMedBERT, specifically designed for natural language inference tasks in the biomedical domain.

A natural language processing model designed for mental health practitioners, extending the MESH classification system and enabling automatic extraction of risk and protective factors

A biomedical named entity recognition model fine-tuned on BC5CDR chemical substances and BC4CHEMD datasets based on the BioBERT architecture

A question-answering model fine-tuned on biomedical text based on PubMedBERT, focused on PubMedQA tasks

A RoBERTa architecture pretrained language model specifically designed for the Spanish biomedical domain, suitable for clinical text processing tasks