Author

Madhubhanu Rayala

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetic & Genomic Medicine· 1

Signature Assays, Organisms & Methods

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Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Hima Jyothi ChallaiD· 1 shared Kalyan Ram UppaluriiD· 1 shared Kalyani PalasamudramiD· 1 shared KRISHNA KUMAR VEMPATIiD· 1 shared LAKSHMI NIRMALA KADALIiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Hima Jyothi ChallaORCID

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1 paper

Recent·Most cited

An AI-Integrated Framework for Precision Genomics in Coronary Artery Disease Using Whole Exome and Phenotypic Data

Kalyan Ram Uppaluri, Hima Jyothi Challa, KRISHNA KUMAR VEMPATI, LAKSHMI NIRMALA KADALI, Madhubhanu Rayala, Kalyani Palasamudram

This paper introduces SIGMA, an AI framework that improves CAD risk prediction by integrating whole exome and phenotypic data, achieving higher sensitivity, specificity, and AUC.

medRxiv · Jan 30, 2026 · PreprintGenetic & Genomic Medicine