Psychiatry

The Cruchaga Lab is dedicated to advancing the understanding of neurodegenerative diseases such as Alzheimer disease, other dementias, and stroke, by generating, analyzing and leveraging multi-tissue multi-omic data from large and well characterized cohorts

Research keywords: multi-omics; machine learning; prediction models

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Dr. Fitzsimmons-Craft has established programmatic lines of research centering on the use of technology for eating disorder prevention and treatment, eating disorder screening, sociocultural etiological and maintenance factors for eating disorders, eating disorder recovery, and college mental health. Ultimately Dr. Fitzsimmons-Craft’s work aims to disseminate evidence-based interventions from research to practice as well as extend treatments in ways that will reach the large number of people in need of care for mental health problems but who are not receiving services.

Research keywords: digital mental health; public health; eating disorders

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The research interests in the lab are focused on understanding the role of RNA species (mRNA, sRNA, and circRNAs) in the development, progression, and diagnostic of neurodegenerative diseases. Currently, we am leading research into the prediction of pre-symptomatic Alzheimer's and Parkinson's disease using plasma high-throughput RNAseq data in combination with Machine Learning techniques

Research keywords: Neurodegeneration; Transcriptomics; Machine Learning

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We are interested in the cellular, molecular, and functional basis of therapeutic benefit for novel classess of neuropsychiatric drugs. By exploring neuropharmacological impact at various levels of analysis, we come to deeper understanding of normal and dysfunctional signaling in the CNS. We use a combination of in vitro and in vivo rodent models along with imaging, electrophysiology, and molecular techniqes.

Research keywords: neurophysiology; neuropharmacology; neurotransmitters

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Our multidisciplinary team has recently launched two large-scale pragmatic cluster randomized controlled trials to evaluate the effect of multilevel interventions on increasing the uptake of lung cancer screening and tobacco treatment in primary care by providing personalized genomic risks, recommendations, and decision supports to guide healthcare discussions and decision making between patients and clinicians. These projects leveraging both genomic medicine and implementation science in primary care settings will welcome collaborations from trainees pursuing expertise in research trials within real-world settings, particularly those involving smoking and smoking-related diseases, precision medicine, health risk communication, behavior change, and implementation science.

Research keywords: genetics and genomics; smoking cessation; implementation science

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