2024
Deep learning survival model predicts outcome after intracerebral hemorrhage from initial CT scan.
Chen Y, Rivier C, Mora S, Torres Lopez V, Payabvash S, Sheth K, Harloff A, Falcone G, Rosand J, Mayerhofer E, Anderson C. Deep learning survival model predicts outcome after intracerebral hemorrhage from initial CT scan. European Stroke Journal 2024, 23969873241260154. PMID: 38880882, DOI: 10.1177/23969873241260154.Peer-Reviewed Original ResearchIntracerebral hemorrhage scoreNon-contrast CT scanIntracerebral hemorrhageCT scanFUNC scoreIntracerebral hemorrhage patientsNon-contrast CTFunctional impairmentSevere disabilityDependent living statusLong-term functional impairmentC-indexPrognostic toolFunctional outcomesTreatment decisionsAcute settingClinical implementationRehabilitation strategiesDependent livingPatientsPredicting functional impairmentLong-term care needsPlanning of patient careDeep learning modelsHemorrhage
2020
Genetic Variation and Response to Neurocritical Illness: a Powerful Approach to Identify Novel Pathophysiological Mechanisms and Therapeutic Targets
Acosta JN, Brown SC, Falcone GJ. Genetic Variation and Response to Neurocritical Illness: a Powerful Approach to Identify Novel Pathophysiological Mechanisms and Therapeutic Targets. Neurotherapeutics 2020, 17: 581-592. PMID: 31975153, PMCID: PMC7283396, DOI: 10.1007/s13311-020-00837-2.Peer-Reviewed Original ResearchConceptsIll neurological patientsNovel pathophysiological mechanismsFinal FDA approvalNeurocritical illnessPathophysiological mechanismsTherapeutic optionsNeurocritical care researchTherapeutic targetNeurological patientsNew treatmentsFDA approvalNovel interventionsCare researchNew preventiveRehabilitation strategiesBiological pathwaysPatientsIllness