Loading page
Loading page
Loading publication
Publication date: 2026-04-15
This technical report proposes a wearable IoT and edge AI framework for non-invasive health monitoring through gastrointestinal gas-based biomarkers.
Zenodo / IEEE DataPort-linked public work
Published
Agrawal, R. K. (2026). Human Gastrointestinal Gas as a Non-Invasive Biomarker: A Wearable IoT and Edge AI Framework for Real-Time Health Monitoring. Zenodo. https://doi.org/10.5281/zenodo.19599483
@techreport{agrawal2026gastrointestinal, title={Human Gastrointestinal Gas as a Non-Invasive Biomarker: A Wearable IoT and Edge AI Framework for Real-Time Health Monitoring}, author={Agrawal, Rakesh Kumar}, year={2026}, doi={10.5281/zenodo.19599483}}research-portfolio
Research portfolio repository featuring publications, preprints, datasets, white papers, technical reports, and open research.
View sourceBioBrain
Explainable federated AI framework for multi-omics disease risk prediction in life science.
View sourceNo linked datasets for this publication.
BioBrain
Explainable federated AI framework for multi-omics disease risk prediction in life science.
View sourceLet's discuss research collaborations, enterprise AI strategy, platform engineering, open science initiatives, or speaking opportunities.