A5045217158- Tryptophan and brain disorders
- Neuroinflammation and Neurodegeneration Mechanisms
- COVID-19 diagnosis using AI
- Machine Learning in Healthcare
- COVID-19 and Mental Health
- COVID-19 and healthcare impacts
- Memory and Neural Mechanisms
- Artificial Intelligence in Healthcare
- Opioid Use Disorder Treatment
Boston University
2024-2025
VA Boston Healthcare System
2024
Emory University
2024
Novel and automated means of opioid use relapse risk detection are needed. Unstructured electronic medical record data, including written progress notes, can be mined for clinically relevant information, the presence substance relapse-critical markers recovery from disorder (OUD). In this study, we used natural language processing (NLP) to automate extraction relapses, timing these occurrences, veteran patients' record. We then demonstrated utility our NLP tool via analysis...
Background: The COVID-19 pandemic had dramatic adverse impacts on people with opioid use disorder (OUD), as evidenced by significant disruptions to care and unprecedented increases in drug overdoses. In this study, we evaluated the of utilization emergency inpatient care, fatal non-fatal overdoses among veterans OUD. Methods: We used Veterans Health Administration (VHA) electronic medical record mortality data compare department (ED) visits, hospitalizations, between a pandemic-exposed...
Abstract This study explores the neurobiological underpinnings of alcohol use disorder (AUD) by integrating bulk and single-cell transcriptomic data from humans, primates, mice across three brain regions associated with addiction (i.e., prefrontal cortex (PFC), nucleus accumbens (NAc), central amygdala (CeA)). We compared AUD RNA expression cell-type abundance 92 human to 53 primates 90 engaged in diverse paradigms. The findings revealed significant reproducible correlations between...