Author

Jeffrey C. Lotz

University of California, San FranciscoORCID 0000-0002-9654-0647Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1 Approach:large language model· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Andrew M. BisharaiD· 1 shared Ashish RajiD· 1 shared C. Anthony HuntiD· 1 shared Cooper Koenig· 1 shared Damon Lin· 1 shared Emily Stokes· 1 shared Glen E. P. RopellaiD· 1 shared Iris HoiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperNeuroscience

Andrew M. BisharaORCID

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2 papers

Recent·Most cited

Predicting pain location from resting-state brain fMRI

Jennifer Cummings, Sharmila Majumdar, Andrew M. Bishara, Julian C. Motzkin, Ashish Raj, Prasad R. Shirvalkar, Jeffrey C. Lotz

This study uses resting-state fMRI to stratify chronic low back pain patients into phenotypes based on brain activity and sensory abnormalities, revealing distinct connectivity patterns and predicting pain locations.

bioRxiv · Jun 18, 2026 · PreprintNeuroscience

Bridging Domains in Chronic Lower Back Pain: Large Language Models and Ontology-driven Strategies for Knowledge Graph Construction

Paul E. Anderson, Damon Lin, Jean M. Davidson, Theresa Migler, Iris Ho, Cooper Koenig, Madeline Bittner, Samuel Kaplan, Mayumi Paraiso, Nasreen Buhn, Emily Stokes, C. Anthony Hunt, Glen E. P. Ropella, Jeffrey C. Lotz

This paper uses large language models and ontology-driven strategies to improve link prediction and entity resolution in knowledge graphs for chronic lower back pain research.

Lecture notes in computer science · Jan 1, 2024Peer-reviewedBioinformatics