OTHER RESEARCH
$493,646 awarded to research since 1985
Research continually evolves, pushing the envelope of new, innovative frontiers in the search for answers to scientific questions. Clinical informatics for example, a burgeoning area of study, harnesses tools like artificial intelligence (AI) and machine-learning algorithms to scour electronic medical records or insurance claims data to answer research questions across a variety of diagnoses. As we continue to learn more about the brain, it is imperative that we invest in these cutting-edge areas of research to combat mental illnesses and expand the scope of care and treatment options available to those who suffer.
Active Research
Early Neighborhood Contexts Shapes Neuropsychiatric Risk in Children | Rebecca Stephens, PhD – Marissa DiPiero, PhD | $58,540
Early Neighborhood Contexts Shapes Neuropsychiatric Risk in Children 2026 Award: $58,540 It is widely known that development is shaped by a complex interplay of biological and environmental factors. However, the variables most often used [...]
Biomarkers of Persistent Cancer-Related Cognitive Impairment in Breast Cancer Survivors | Zev Nakamura, MD | $57,240
Biomarkers of Persistent Cancer-Related Cognitive Impairment in Breast Cancer Survivors 2026 Award: $57,240 Many cancer survivors experience lasting memory and concentration problems after treatment, often alongside depression, anxiety, or stress. This project will study [...]
A Machine Learning Approach to Classify Medical Records by Psychiatric Diagnosis | Nash | $35,784
A Machine Learning Approach to Classify Medical Records by Psychiatric Diagnosis 2023 Award: $35,784 The widespread adoption of electronic health records (EHRs) has been accompanied by the enticing promise of using “big data” to [...]
Functional Development Abnormalities Associated with Genetic Risk of Bipolar during Infancy | Gao | $71,302
Functional Development Abnormalities Associated with Genetic Risk of Bipolar during Infancy 2013 Award: $71,302 Bipolar disorder (BD) is a common psychiatric illness affecting ~1% to 2% of the population, which is characterized by affective [...]