Gabriel Cerono, MD | Baranzini Lab

POSTDOC-EMPLOYEE

M_Neurology

Gabriel is an Argentinian Medical Doctor. He earned his medical degree from Universidad Nacional de La Plata. He is a self taught programmer, data scientist, and machine learning practitioner. He is currently involved in SPOKE development. His research interests lies in the integration of data science with clinical practice.

Publications

A disease-specific convergence of host and Epstein-Barr virus genetics in multiple sclerosis.

Mechelli R, Umeton R, Bellucci G, Bigi R, Rinaldi V, Angelini DF, Guerrera G, Pignalosa FC, Ilari S, Patrone M, Srinivasan S, Cerono G, Romano S, Buscarinu MC, Martire S, Malucchi S, Landi D, Lorefice L, Pizzolato Umeton R, Anastasiadou E, Trivedi P, Fornasiero A, Ferraldeschi M, IMSGC WTCCC2, Di Sapio A, Marfia G, Cocco E, Centonze D, Uccelli A, Di Silvestre D, Mauri P, de Candia P, D'Alfonso S, Battistini L, Farina C, Magliozzi R, Reynolds R, Baranzini SE, Matarese G, Salvetti M, Ristori G

Biomedical knowledge graph-optimized prompt generation for large language models.

Soman K, Rose PW, Morris JH, Akbas RE, Smith B, Peetoom B, Villouta-Reyes C, Cerono G, Shi Y, Rizk-Jackson A, Israni S, Nelson CA, Huang S, Baranzini SE

Ensemble machine learning reveals key features for diabetes duration from electronic health records.

Cerono G, Chicco D

Leveraging electronic health records and knowledge networks for Alzheimer's disease prediction and sex-specific biological insights.

Tang AS, Rankin KP, Cerono G, Miramontes S, Mills H, Roger J, Zeng B, Nelson C, Soman K, Woldemariam S, Li Y, Lee A, Bove R, Glymour M, Aghaeepour N, Oskotsky TT, Miller Z, Allen IE, Sanders SJ, Baranzini S, Sirota M

Clinical Feature Ranking Based on Ensemble Machine Learning Reveals Top Survival Factors for Glioblastoma Multiforme.

Cerono G, Melaiu O, Chicco D

Early detection of Parkinson's disease through enriching the electronic health record using a biomedical knowledge graph.

Soman K, Nelson CA, Cerono G, Goldman SM, Baranzini SE, Brown EG

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

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

Soman K, Nelson CA, Cerono G, Baranzini SE