aiSysMet is an AI-powered data analytics platform that consists of a suite of tools (MetCraft, MetaboQuest, ImgCraft, and IntSys) for biomarker discovery by enabling systems metabolomics and integrative analysis of multi-omics and imaging data.
MetCraft converts raw metabolomics data for annotation and quantitative analysis. It also performs omics data processing including normalization, missing value imputation, batch correction, etc.
MetaboQuest uses databases for metabolite annotation by mass-based search and spectral matching. It also applies deep learning models for ranking putative metabolite candidates based on MS/MS data.
ImgCraft uses deep learning–based segmentation and feature extraction to process medical images, including whole-slide, CT, and MR images, and identify disease-relevant imaging features.
IntSys integrates multi-omics and imaging data using statistical analysis, multivariate regression, and machine learning to discover diagnostic and prognostic biomarkers.