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Software
LEADS: a specialized LLM for medical literature mining
PyTrial: A Python Package for Artificial Intelligence for Drug Development
- A comprehensive package for various AI applications for drug development, especially in clinical trials.
- Achieve tasks such as patient outcome prediction, synthetic patient record generation, patient-trial matching, trial site selection, trial outcome prediction, trial similarity search.
- Complete tutorials with examples for a fast ramp-up in using this package.
TransTab: Transferable Tabular Transformers
- A flexible tabular learning and prediction method that supports learning from variable-column tables.
- Support varaious tasks such as tabular pretraining, transfer learning, and zero-shot prediction.
MedCLIP: Pretrained Medical Vision-Language Model
- Contrastive pretraining of medical VLM on unpaired X-rays and radiology reports.
- Provide off-the-shelf pretrained VLM for further use.
Trial2Vec: Clinical Trial Similarity Search
- Self-supervised training to encode clinical trial documents into semantically meaningful dense embeddings.
- Provide off-the-shelf pretrained language models for trial retrieval and pretrained embeddings for downstream tasks.
PromptEHR: Synthetic EHR Generation
- Large language models as neural databases to memorize and generate electronic healthcare records (EHRs).
- Provide off-the-shelf pretrained language models for synthetic EHRs generation.
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