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Machine learning models of plasma proteomic data predict mood in chronic stroke and tie it to aberrant peripheral immune responses

Neda H. Bidoki, Kristy Zera, Huda Nassar, Lauren L. Drag, Michael Mlynash, Elizabeth Osborn, Muhith Musabbir, Da Eun Kim, Maria Paula Mendez, Maarten G. Lansberg, Nima Aghaeepour, Marion S. Buckwalter

2023Brain Behavior and Immunity15 citationsDOIOpen Access PDF

Topics & Concepts

MoodDepression (economics)Stroke (engine)PsychologyClinical psychologyMood disordersBiomarkerBioinformaticsMedicinePsychiatryAnxietyBiologyMacroeconomicsEngineeringEconomicsMechanical engineeringBiochemistryTryptophan and brain disordersNeuroinflammation and Neurodegeneration MechanismsLong-Term Effects of COVID-19
Machine learning models of plasma proteomic data predict mood in chronic stroke and tie it to aberrant peripheral immune responses | Litcius