Clinical Research IT & AI
T: EU +353-86-4186512 / US +1 412 5671172 E: firstname.lastname@example.org W: https://www.clirinx.com
Gerry Nesbitt is an informatics innovator specializing in academic clinical research IT. He was previously the Director of Informatics at the University of California, San Francisco. He was responsible for IT on the Epilepsy Phenome/Genome Project, a $15M/5 year NIH funded project and the largest ever epidemiological and genomic study of epilepsy and seizures. He was also the Director of Informatics of the EPI4K study and the Human Epilepsy Project. Prior to this, Gerry was responsible for IT and bioinformatics with the UCSF/Immune Tolerance Network , a NIH funded project that conducts clinical research for autoimmune diseases. Current and past projects include Lurie Children's Hospital [the Early Onset Epilepsy Consortium (EOEC), National Infantile Spasms Consortium (NISC), Precision Medicine Initiative and a study of genetic variants associated with heart rhythm (channelopathies) and myocardial function], the Baylor College of Medicine [RIKEE Study and ERGENT Study], Dravet Foundation [Consensus Project], Colorado Children's Hospital [I-SITT Study], the Rett Syndrome Research Trust [OMBD Study] and the FamilieSCN2A Clinical Trial Readiness Study.
We have provided IT leadership and vision for some of the largest medical research projects undertaken in the USA. We have worked with PIs at 30+ top-tier medical institutions in the USA, like the University of California San Francisco (UCSF), New York University (NYU), the Mayo Clinic, Cleveland Clinic and Columbia University. It is this unique experience CLIRINX brings to your research studies. These studies include the Epilepsy Phenome/Genome Project, the Human Epilepsy Project and Epi4K. These are global, multi-site research studies that relied on sophisticated web-based IT systems to facilitate electronic data capture, data integration and analytics. We understand the IT challenges facing medical research today, and CLIRINX delivers the most sophisticated and economical systems to significantly improve data quality and reduce IT costs.
Galer et al. (2020) Semantic similarity analysis reveals robust gene-disease relationships in developmental and epileptic encephalopathies. American Journal of Human Genetics, 2020 [link]
A.T. Berg et al. (2020) Nonseizure consequences of Dravet syndrome,KCNQ2-DEE,KCNB1-DEE,Lennox-Gastaut syndrome, ESES: A functional framework. Epilepsy & Behavior (111), Oct. 2020 [link]
G. Nesbitt et al. (2019) Early Life Epilepsy Natural History Project - Advancing knowledge of ultra-rare diseases with the CLIRINX informatics platform. American Epilepsy Society (Abst. 1.238), 2019 [link]
J. Millichap et al. (2019) ERGENT: Early Recognition of Genetic Epilepsy in Neonates. American Epilepsy Society (Abst. 1.39), 2019 [link]
A.T. Berg et al. (2019) Functional Impairments in Young People with Early Life Epilepsies: Influences of Seizures, Medications and Sleep. American Epilepsy Society (Abst. 2.138), 2019 [link]
E. Golbeck et al. (2018) Nocturnal Seizures and Sleep Variability in Children and Young Adults with Dravet Syndrome. American Epilepsy Society (Abst. 2.451), 2018 [link]
E.C. Wirrell et al. (2017) Optimizing the Diagnosis and Management of Dravet Syndrome: Recommendations From a North American Consensus Panel. Pediatric Neurology 68 (2017) 18 - 34 [link]
N. Joshi et al. (2016) An Informatics Infrastructure for KCNQ2 Encephalopathy Research Including a Patient Registry, Database, Curation Platform, and Website. American Epilepsy Society (Abst. 3.329), 2016 [link]
G. Nesbitt et al. (2013) EPGP Informatics Platform. International Journal of Medical Informatics (Vol. 82, Issue 4, Pages 248-259) [link]
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T: US +1 (412) 5671172 / EU +353-86-418 6512 / Australia +61 3 9028 7373 E: email@example.com W: https://www.clirinx.com