Medicine Python Packages

pytdc

Therapeutics Commons (TDC): Multimodal Foundation for Therapeutic Science

medpython

Medial EarlySign Python

dhti-elixir-base

Base classes for dhti-elixir

viprs

Variational Inference of Polygenic Risk Scores (VIPRS)

med-seg-diff-pytorch

MedSegDiff - SOTA medical image segmentation - Pytorch

orthanc-rest-client

REST client for Orthanc DICOM servers

pycohortflow

Lightweight cohort flow diagrams built on Matplotlib.

medialpy

MEDIcal Abbreviations Lookup in Python

beren

REST client for Orthanc DICOM servers

zms

ZMS6: Simplified Content Modelling

opengpt

A framework for creating grounded instruction based datasets and training conversational domain expert Large Language Models (LLMs).

gs1grader

GS1Grader - Grading datamatrices based on GS1 guidelines

meddatasets

The meddatasets library contains clinical research datasets, cancer diagnostic records, chronic disease statistics, smoking and cancer risk data, worldwide COVID-19 case records, water pollution and disease impact data, and much more.

medpython-etl

Medial EarlySign ETL Library

temporai

TemporAI: ML-centric Toolkit for Medical Time Series

ray-voxel-overlap

Estimating system-matrices for tomography

p3gpt

Precious3 GPT - A multimodal language model for biomedical applications

oncomark

A deep learning tool designed to predict Cancer Hallmark activities from tumor biopsy samples.

medkit-learn

The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation (NeurIPS 2021) by Alex J. Chan, Ioana Bica, Alihan Huyuk, Daniel Jarrett, and Mihaela van der Schaar.

drg2txt

Map MS-DRG v38.1 DRG/MDC numeric codes to their text description

zms3

Running on Python 2.7 (stable, production ready)