All Competitors

Multimodal foundation model for cardiac biosignals, pretrained by masked modeling on ECG, PPG, and clinical text from ~1.7 million individuals.

Protein question-answering model that fuses sequence and structure into an LLM prompt as virtual tokens, answering free-form questions about function.

Multimodal ECG language model pairing a specialized signal encoder with a biomedical LLM for cardiovascular disease detection and question answering.

Multimodal RNA chat model pairing a frozen RNA-FM encoder with a Llama-3 8B backbone to answer natural-language questions about a submitted sequence.

Multimodal large language model that interprets 12-lead electrocardiogram images, answering open-ended clinical questions and generating ECG reports.

Conversational agent that answers plain-language questions about DNA, RNA, and protein sequences by coupling a genomics encoder to a language model.

Generative transformer pretrained on PubMed abstracts for biomedical text generation and mining, including relation extraction and question answering.

BERT-Large pretrained on the BREATHE literature corpus for biomedical question answering and embedding-based re-ranking of literature search.

Chinese biomedical text encoder pretrained by masking whole medical entities and phrases, lifting clinical entity recognition and query understanding.