Curated List of Biomarkers, Blood Tests, and Blood Tracking
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Private, local-first health intelligence for labs, 51 curated SNPs, wearables, light exposure, Biology Scores, optional AI, encrypted sync, sharing, and Agent Access.
A Python-based compendium of GPU-optimized aging clocks.
PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
A Python package for the analysis of biopsychological data.
Tula is an open-source collection of OpenClaw skills, configurations, and patterns designed to transform a general-purpose AI agent into a personal health intelligence assistant.
Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.
This data-centric AI repository implements a robust deep learning method (LFBNet) for fully automated tumor segmentation in whole-body [18]F-FDG PET/CT images.
A prediction-based extension of network-based statistics.
A library for full-stack aging clocks design and benchmarking.
OmicSelector - Environment, docker-based application and R package for biomarker signiture selection (feature selection) & deep learning diagnostic tool development from high-throughput high-throughput omics experiments and other multidimensional datasets. Initially developed for miRNA-seq, RNA-seq and qPCR.
Official implementation of the Fréchet Radiomic Distance
Mendelian Randomization with Biomarker Associations for Causality with Outcomes
Healthcare dashboard with AI-powered chart generation
Text mining cancer biomarkers for the CIVIC database
Calculate Centiloid / CenTauR and other imaging biomarkers in seconds: An open-source 3D Slicer extension and agent-friendly tool for ultra-fast, PET-only brain PET normalization and biomarker quantification across amyloid (Centiloid), tau (CenTauR), FDG, DAT, and other PET modalities.
detectPanel provides leakage-aware discovery and validation of small biomarker panels from count or expression matrices.
Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data (Nature Communications, 2023)
Food-Biomarker Ontology defines the relationships between foods and their associated metabolites (biomarkers) through a formal ontology
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