Author

Aviral Bal

Morgridge Institute for Research

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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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:large language model· 2

Frequent Co-Authors

Cannon Lock· 2 shared Chitrasen MohantyiD· 2 shared Jack FreemaniD· 2 shared Robert J. MillikiniD· 2 shared Ron M. StewartiD· 2 shared Bethany B. MooreiD· 1 shared Bethany M. MooreiD· 1 shared Brittany G. TraversiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersBioinformatics

Cannon Lock

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2 papers

Recent·Most cited

Quantifying Evidence for Competing Biomedical Hypotheses using Large Language Models and Bayesian Analysis

Bethany M. Moore, Jack Freeman, Robert J. Millikin, Chitrasen Mohanty, Kevin W. George, Aviral Bal, Cannon Lock, John‐Demian Sauer, Megan E. Spurgeon, Darcie L. Moore, Brittany G. Travers, Ron M. Stewart

This paper introduces KM-GPT-DCH, a method using LLMs and Bayesian analysis to evaluate and compare biomedical hypotheses by analyzing scientific literature.

bioRxiv · Jun 7, 2026 · PreprintBioinformatics

SKiM-GPT: Combining Biomedical Literature-Based Discovery with Large Language Model Hypothesis Evaluation

Jack Freeman, Robert J. Millikin, Liang Xu, Ishaan Sharma, Bethany B. Moore, Cannon Lock, Kevin Shine George, Aviral Bal, Chitrasen Mohanty, Ron M. Stewart

SKiM-GPT evaluates biomedical hypotheses by combining literature-based discovery with large language models to assess hypothesis validity using retrieved PubMed abstracts.

BMC Bioinformatics · Dec 17, 2025Peer-reviewedBioinformatics