Author

LAKSHMI NIRMALA KADALI

ORCID 0009-0004-4583-6650Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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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 Madhubhanu Rayala· 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