MedgeClaw Files

Open-source AI research assistant for biomedicine

This is an exact mirror of the MedgeClaw project, hosted at https://github.com/xjtulyc/MedgeClaw. SourceForge is not affiliated with MedgeClaw.

The interactive file manager requires Javascript. Please enable it or use sftp or scp.
You may still browse the files here.

Name	Modified	Size	InfoDownloads / Week
v0.1.0-alpha	2026-02-25		0
Totals: 1 Item			0

Other Useful Business Software

MongoDB Atlas runs apps anywhere

Deploy in 115+ regions with the modern database for every enterprise.

MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.

Start Free

Demo Series - Small Business Backup By Veeam

Learn how to protect your Microsoft 365 data, with simple, actionable tips today.

Watch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.

Watch Demo Series

Recommended Projects

OpenClaw Medical Skills
The largest open-source medical AI skills library for OpenClaw
Claude Scientific Skills
A set of ready to use Agent Skills for research, science, engineering
Gimias
Graphical Interface for Medical Image Analysis and Simulation
SynergyFinderPlus
Combinatorial therapies have been recently proposed for improving anticancer treatment efficacy. SynergyFinder R package is a software tool to analyze pre-clinical drug combination datasets developed in our group. To facilitate the use of the R package for the drug discovery community, we also provide a web server called SynergyFinder PLus at http://synergyfinder.org/ that provides a user-friendly interface to enable a more flexible and versatile analysis of drug combination data. Sister websites: https://tangsoftwarelab.shinyapps.io/synergyfinder/ Bioconductor R package: https://www.bioconductor.org/packages/release/bioc/html/synergyfinder.html Citation: Zheng, S.; Wang, W.; Aldahdooh, J.; Malyutina, A.; Shadbahr, T.; Tanoli Z; Pessia, A.; Tang, J. SynergyFinder Plus: Toward Better Interpretation and Annotation of Drug Combination Screening Datasets. Genomics, Proteomics & Bioinformatics 2022, 20, 587-596 https://doi.org/10.1016/j.gpb.2022.01.004
Scientific Agent Skills
A set of ready to use Agent Skills for research, science, engineering