Dinesh Mendhe
| Dinesh Mendhe | |
|---|---|
| Born | |
| 💼 Occupation | |
| Known for | Health informatics software; Trust Identity Protocol |
Dinesh Mendhe is a computer and information research scientist at the Rutgers University Institute for Health, Health Care Policy and Aging Research, where he leads software and artificial intelligence development for research applications.[1] He is the founder of The AI Lab Intelligence Unobscured, Inc., a Delaware company that publishes the Trust Identity Protocol, an open standard for verified human identity and content provenance.[2]
Research
At Rutgers, Mendhe has developed software platforms for population health and aging research. In 2020, he was the lead author of research in Innovation in Aging describing a survey data collection platform designed to improve accuracy and reduce selection bias in studies conducted during the COVID-19 pandemic.[3]
In 2024, he was a co-author of a study in Scientific Reports that used machine learning techniques to identify biomarkers and predict cardiovascular disease for precision medicine applications.[4] The research team's disease prediction software was reported by science news outlets.[5][6]
He has also published research on artificial intelligence approaches for personalized medicine and healthcare analytics.[7] He serves on the editorial board of the Premier Journal of Genetics.[8]
Trust Identity Protocol
In 2026, The AI Lab published the Trust Identity Protocol (TIP), which the company describes as an open, post-quantum standard intended to let readers verify whether online content was produced by a human or by an artificial intelligence system.[9]
Selected publications
- DeGroat, W.; Abdelhalim, H.; Patel, K.; Mendhe, D.; Zeeshan, S.; Ahmed, Z. (2024). "Discovering biomarkers associated and predicting cardiovascular disease with high accuracy using a novel nexus of machine learning techniques for precision medicine". Scientific Reports 14. doi:10.1038/s41598-023-50600-8
- Mendhe, D.; Dogra, A.; Nair, P. S.; Punitha, S.; Preetha, K. S.; Babu, S. B. G. T. (2024). "AI-Enabled Data-Driven Approaches for Personalized Medicine and Healthcare Analytics". 2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM): 1-5. doi:10.1109/ICONSTEM60960.2024.10568722
- Mendhe, D.; Bergren, S.; Dong, X. (2020). "A Novel Survey Platform in the Age of COVID-19 to Increase Accuracy and Adoptability While Reducing Selection Bias". Innovation in Aging 4 (Supplement 1): 931-932. doi:10.1093/geroni/igaa057.3415
- Gaikwad, N. B.; Khare, S. K.; Mendhe, D.; Mir, H.; Kosta, S.; Acharya, U. R. (2025). "FPGA SoC Implementation of Adaptive Deep Neural Network-Based Multimodal Edge Intelligence for Internet of Medical Things". IEEE Access 13: 134041-134056. doi:10.1109/ACCESS.2025.3592729
References
- ↑ "Dinesh Mendhe, MS". Rutgers Institute for Health, Health Care Policy and Aging Research. Retrieved 16 July 2026.
- ↑ "Our Team". The AI Lab. Retrieved 16 July 2026.
- ↑ Mendhe, Dinesh; Bergren, Stephanie; Dong, XinQi (2020). "A Novel Survey Platform in the Age of COVID-19 to Increase Accuracy and Adoptability While Reducing Selection Bias". Innovation in Aging. 4 (Supplement 1): 931–932. doi:10.1093/geroni/igaa057.3415. PMC 7740837 Check
|pmc=value (help). - ↑ DeGroat, William; Abdelhalim, Habiba; Patel, Kush; Mendhe, Dinesh; Zeeshan, Saman; Ahmed, Zeeshan (2024). "Discovering biomarkers associated and predicting cardiovascular disease with high accuracy using a novel nexus of machine learning techniques for precision medicine". Scientific Reports. 14 (1). Bibcode:2024NatSR..14....1D. doi:10.1038/s41598-023-50600-8. PMC 10762256 Check
|pmc=value (help). PMID 38167627 Check|pmid=value (help). Unknown parameter|article-number=ignored (help) - ↑ "Researchers develop software to predict diseases". ScienceDaily. 23 January 2024. Retrieved 16 July 2026.
- ↑ "Researchers Develop Disease Prediction Software". Clinical Lab Products. January 2024. Retrieved 16 July 2026.
- ↑ Mendhe, Dinesh; Dogra, A.; Nair, P. S.; Punitha, S.; Preetha, K. S.; Babu, S. B. G. T. (2024). AI-Enabled Data-Driven Approaches for Personalized Medicine and Healthcare Analytics. 2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM). Chennai, India. pp. 1–5. doi:10.1109/ICONSTEM60960.2024.10568722.
- ↑ "Editorial Board". Premier Journal of Genetics. 15 November 2025. Retrieved 16 July 2026.
- ↑ Mendhe, Dinesh (16 June 2026). "TIP Protocol Whitepaper, Version 1.0". The AI Lab. 1. doi:10.5281/zenodo.20722378. Retrieved 16 July 2026.
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