Tumor Classification from Histology Imaging
Machine learning models for classifying tumor patterns from histology images are being prepared and evaluated before launch.
In progress · Launching soon
Open-source ecosystem for in vitro and microphysiological systemsTools
PhysioVerse maintains practical resources that help contributors, users, curators, developers, and institutions apply shared workflows.
Toolbox
Tool pages collect links, demos, user instructions, analysis workflows, and downloadable outputs. Three tools are currently available, and three machine learning tools are being prepared for launch.
Benchmark lung epithelial culture models against a fixed healthy human distal lung tissue reference using PCA centroid distance, Spearman correlation, and robustness summaries.
ReadySearch a focused classified study table with titles, DOI links, authors, emails, and main-variable filters for model system, species, tissue, cell type, application, and ECM.
In training / progressMap DOI-level organoid, organ-on-chip, and microphysiological systems data records across model systems, tissues, assays, data modalities, validation, and regulatory features.
In training / progressMachine learning models for classifying tumor patterns from histology images are being prepared and evaluated before launch.
In progress · Launching soonMachine learning workflows for analyzing cilia movement and video-based readouts are being prepared for future release.
In progress · Launching soonIntegrated machine learning workflows for multi-omic data interpretation and model comparison are being prepared and evaluated.
In progress · Launching soonGitHub projects
These links make public tool and benchmark work easier to find, review, cite, and follow from the website.
Manufacturing partner
Connect with RegMIC and its work advancing regenerative manufacturing, scale-up, and commercialization across the PhysioVerse ecosystem.