Dr. Bosl joined USF in the summer of 2013 as the director of the Health Informatics program. He was a computational physicist (PhD Stanford) before joining the Boston Children's Hospital Informatics Program (CHIP) as a faculty member with Harvard Medical School. While developing his research at CHIP, Dr. Bosl pursued further doctoral training in clinical neuroscience and collaborated with physicians in the Neurology and Developmental Medicine departments on research to find early biomarkers of neurodevelopmental disorders in children, with a focus on autism and epilepsy. He was also a lecturer and collaborator with the MIT Global Health Informatics group on neurotechnology for global mental healthcare, a project that involves a growing network of research partners in Africa. Dr. Bosl holds an adjunct research scientist appointment with Children's Hospital in Oakland Research Institute. His research focuses on early detection and monitoring of neurological and developmental disorders in children; global mental health; nonlinear signal processing and machine learning in healthcare; and cognitive phenotypes, consciousness and electrophysiology.
Predoctoral Trainee (previously held)
Boston University School of Medicine, Graduate Medical Sciences
University of San Francisco
Health Informatics Program
Boston Children's Hospital
Computational Health Informatics Program (CHIP)
Harvard Medical School
Publications listed below are automatically derived from MEDLINE/PubMed and other
sources, which might result in incorrect or missing publications. Faculty can
to make corrections and additions.
Showing 10 of 24 results.
Sathyanarayana A, El Atrache R, Jackson M, Cantley S, Reece L, Ufongene C, Loddenkemper T, Mandl KD, Bosl WJ. Measuring Real-Time Medication Effects From Electroencephalography. J Clin Neurophysiol. 2022 May 17. PMID: 35583401
Peck FC, Gabard-Durnam LJ, Wilkinson CL, Bosl W, Tager-Flusberg H, Nelson CA. Prediction of autism spectrum disorder diagnosis using nonlinear measures of language-related EEG at 6 and 12 months. J Neurodev Disord. 2021 11 30; 13(1):57.View Related Profiles. PMID: 34847887; PMCID: PMC8903497; DOI: 10.1186/s11689-021-09405-x;
Sathyanarayana A, El Atrache R, Jackson M, Alter AS, Mandl KD, Loddenkemper T, Bosl WJ. Measuring the effects of sleep on epileptogenicity with multifrequency entropy. Clin Neurophysiol. 2021 09; 132(9):2012-2018. PMID: 34284235; PMCID: PMC8384705; DOI: 10.1016/j.clinph.2021.06.001;
Sathyanarayana A, El Atrache R, Jackson M, Alter AS, Mandl KD, Loddenkemper T, Bosl WJ. Nonlinear Analysis of Visually Normal EEGs to Differentiate Benign Childhood Epilepsy with Centrotemporal Spikes (BECTS). Sci Rep. 2020 05 21; 10(1):8419. PMID: 32439999; PMCID: PMC7242341; DOI: 10.1038/s41598-020-65112-y;
Narindrarangkura P, Bosl W, Rangsin R, Hatthachote P. Prevalence of dyslipidemia associated with complications in diabetic patients: a nationwide study in Thailand. Lipids Health Dis. 2019 Apr 06; 18(1):90. PMID: 30954084; PMCID: PMC6451778; DOI: 10.1186/s12944-019-1034-3;
Sathyanarayana A, El Atrache R, Jackson M, Alter A, Mandl K, Loddenkemper T, Bosl W. A Digital Biomarker for Benign Childhood Epilepsy with Centrotemporal Spikes (BECTS). 2019. View Publication
Bosl WJ. The Emerging Role of Neurodiagnostic Informatics in Integrated Neurological and Mental Health Care. Neurodiagn J. 2018; 58(3):143-153. PMID: 30257174
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