MNE-CPP: A Framework for Electrophysiology

Python wraper for MetaMap

Empower Large Language Models (LLM) using Knowledge Graph based Retrieval-Augmented Generation (KG-RAG) for knowledge intensive tasks

Package for biomedical data model and metadata ingress management

Ontology for consent codes and data use requirements

MetaSRA: normalized sample-specific metadata for the Sequence Read Archive

Few- and Zero-shot Multi-Label Learning for Structured Label Spaces

Computational Analysis of Novel Drug Opportunities

R package for delineating temporal dataset shifts in Eletronic Health Records

Website for the JuliaHealth organization (powered by Franklin.jl).

BioMedICUS: A biomedical and clinical NLP engine.

Alaska Project Ideas, mentored by the researchers and collaborators of University of Alaska and supported by open-source entities and enthusiasts in Alaska.

Respiration-rate-and-heart-rate-detection is a project developed for the Biomedical Signal Processing exam at the University of Milan (academic year 2020-2021). It implements an algorithm to analyze accelerometric signals collected with a smartphone positioned on the thorax while supine.

Materials used for introductory classes using Julia for statistics, biomedical queries and plotting

CREAM (Clustering of Functional Regions Analysis Method) is a new method for identification of clusters of functional regions (COREs) within chromosomes.

Implementation of our matching network CNN

Services and guidelines for normalizing genes

MedDistant19: Towards an Accurate Benchmark for Broad-Coverage Biomedical Relation Extraction (COLING 2022)

Core components and documentation of the tranSMART platform.