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N. Lodha

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Open access Jul 2026

GENOMIC INSIGHTS INTO CHRONIC DISEASE SUSCEPTIBILITY: IMPLICATIONS FOR PERSONALISED MEDICINE

It is demonstrated that genomic susceptibility is organised into biologically distinct profiles defined by coordinated variant, gene, pathway, and cumulative risk signals, which provides a practical basis for risk stratification and supports the application of genomics in personalised medicine.

Bana Sarahbibi Mohmedsalim, Subhabrata Sarkar, Sukanta Bandyopadhyay et al. · 0 citations
Open access Aug 2026

Clinical Biomarker-Based Prediction of Chronic Kidney Disease Using Explainable Machine Learning

The results show how a combination of explainable ML and accessible clinical biomarkers can offer a precise, transparent, and clinically interpretable framework for early CKD diagnosis, risk stratification, and informed clinical decision making.

M. Khuntia, Hariballav Mahapatra, N. Lodha · 0 citations

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