Software

PyTrial: A Python Package for Artificial Intelligence for Drug Development. [Doc] [Github] [Paper]

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. [Doc] [Github]

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. [Github]

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. [Github]

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. [Github]

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.