Publications

A Predictive Autoantibody Signature in Multiple Sclerosis.

Zamecnik CR, Sowa GM, Abdelhak A, Dandekar R, Bair RD, Wade KJ, Bartley CM, Tubati A, Gomez R, Fouassier C, Gerungan C, Alexander J, Wapniarski AE, Loudermilk RP, Eggers EL, Zorn KC, Ananth K, Jabassini N, Mann SA, Ragan NR, Santaniello A, Henry RG, Baranzini SE, Zamvil SS, Bove RM, Guo CY, Gelfand JM, Cuneo R, von Büdingen HC, Oksenberg JR, Cree BA, Hollenbach JA, Green AJ, Hauser SL, Wallin MT, DeRisi JL, Wilson MR

medRxiv : the preprint server for health sciences, 2023

Integration of epigenetic and genetic profiles identifies multiple sclerosis disease-critical cell types and genes.

Ma Q, Shams H, Didonna A, Baranzini SE, Cree BAC, Hauser SL, Henry RG, Oksenberg JR

Communications biology, 2023

The scalable precision medicine open knowledge engine (SPOKE): A massive knowledge graph of biomedical information.

Morris JH, Soman K, Akbas RE, Zhou X, Smith B, Meng EC, Huang CC, Cerono G, Schenk G, Rizk-Jackson A, Harroud A, Sanders L, Costes SV, Bharat K, Chakraborty A, Pico AR, Mardirossian T, Keiser M, Tang A, Hardi J, Shi Y, Musen M, Israni S, Huang S, Rose PW, Nelson CA, Baranzini SE

Bioinformatics (Oxford, England), 2023

Time-aware Embeddings of Clinical Data using a Knowledge Graph.

Soman K, Nelson CA, Cerono G, Baranzini SE

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2023

The role of the gut microbiota in multiple sclerosis.

Correale J, Hohlfeld R, Baranzini SE

Nature reviews. Neurology, 2022

FutureMS cohort profile: a Scottish multicentre inception cohort study of relapsing-remitting multiple sclerosis.

Kearns PKA, Martin SJ, Chang J, Meijboom R, York EN, Chen Y, Weaver C, Stenson A, Hafezi K, Thomson S, Freyer E, Murphy L, Harroud A, Foley P, Hunt D, McLeod M, O'Riordan J, Carod-Artal FJ, MacDougall NJJ, Baranzini SE, Waldman AD, Connick P, Chandran S

BMJ open, 2022

Progress Toward a Universal Biomedical Data Translator.

Fecho K, Thessen AT, Baranzini SE, Bizon C, Hadlock JJ, Huang S, Roper RT, Southall N, Ta C, Watkins PB, Williams MD, Xu H, Byrd W, Dancík V, Duby MP, Dumontier M, Glusman G, Harris NL, Hinderer EW, Hyde G, Johs A, Su A, Qin G, Zhu Q, Biomedical Data Translator Consortium

Clinical and translational science, 2022

A biomedical open knowledge network harnesses the power of AI to understand deep human biology.

Baranzini SE, Börner K, Morris J, Nelson CA, Soman K, Schleimer E, Keiser M, Musen M, Pearce R, Reza T, Smith B, Herr BW, Oskotsky B, Rizk-Jackson A, Rankin KP, Sanders SJ, Bove R, Rose PW, Israni S, Huang S

AI magazine, 2022

Polygenic risk score association with multiple sclerosis susceptibility and phenotype in Europeans.

Shams H, Shao X, Santaniello A, Kirkish G, Harroud A, Ma Q, Isobe N, University of California San Francisco MS-EPIC Team, Schaefer C, McCauley JL, Cree BAC, Didonna A, Baranzini SE, Patsopoulos NA, Hauser SL, Barcellos LF, Henry RG, Oksenberg JR

Brain : a journal of neurology, 2022

Embedding electronic health records onto a knowledge network recognizes prodromal features of multiple sclerosis and predicts diagnosis.

Nelson CA, Bove R, Butte AJ, Baranzini SE

Journal of the American Medical Informatics Association : JAMIA, 2021

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