Publications

Published work behind the platform

MANTRA is built by a team with a standing publication record spanning microbiome biology and medical AI — not a first attempt at either. A selection from each person is below; each section links to their full, continuously updated record.

Jagriti Ramanathan

Full record on Springer Nature →
Co-founder & CTO, Mahanim Biologics — 16 publications, including 14 with Springer Nature; selected below
Understanding the Microbiome
Pathogens and Environmental Impact on Life Forms · Springer Nature · 2024
Our Ancient History with Microbes
Pathogens and Environmental Impact on Life Forms · Springer Nature · 2024
Microbiome in Defence Against Pathogens
Pathogens and Environmental Impact on Life Forms · Springer Nature · 2024
Microbiome Experimentation 2.0
Springer Nature · 2025
Urbanisation and Globalisation
Springer Nature · 2025
Global Warming and Climate Change
Springer Nature · 2025

Ramanathan Sethuraman

Full record on ResearchGate →
Collaborator — 28 years across Philips Research, Silicon Hive and Intel; AI and multi-omic healthcare analytics
AI-Assisted Screening of Oral Potentially Malignant Disorders Using Smartphone-Based Photographic Images
Cancers · 2023
OPHash: Learning of Organ and Pathology Context-Sensitive Hashing for Medical Image Retrieval
Journal of Medical Imaging · 2025
COVIDomic: A Multi-Modal Cloud-Based Platform for Identification of Risk Factors Associated with COVID-19 Severity
PLOS Computational Biology · 2021
Designing Deep Neural High-Density Compression Engines for Radiology Images
Circuits, Systems and Signal Processing · 2022

Varma S. Konala

Co-founder & CEO, Mahanim Biologics — built and led INAI; co-author on clinical AI research with R. Sethuraman

Debdoot Sheet

Full record on DBLP →
Associate Professor, Dept. of Electrical Engineering, IIT Kharagpur — medical image analysis and deep learning for healthcare
Deep Neural Hashing for Content-Based Medical Image Retrieval: A Survey
Computers in Biology and Medicine · 2025
A Wrapper Method for Finding an Optimal Subset of Multimodal MRI Sequences for Ischemic Stroke Lesion Segmentation
Computers in Biology and Medicine · 2025
Detection of Breast Cancer From Whole Slide Histopathological Images Using Deep Multiple Instance CNN
IEEE Access · 2020
Federated Learning for Site-Aware Chest Radiograph Screening
IEEE ISBI · 2021
Fantom: Federated Adversarial Network for Training Multi-Sequence MRI in Semantic Segmentation
IEEE ICIP · 2024
Deep Neural Ensemble for Retinal Vessel Segmentation in Fundus Images
IEEE EMBC · 2016

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