Purpose: Perinatal Intensive Outpatient Programs (IOPs) address severe perinatal mood and anxiety disorders (PMADs) and mother-infant relationship concerns. Given the impact of PMADs on mothers and infants, rapid transitions to virtual services (telehealth) amid COVID-19, and service expansions to populations in need, it is critical to evaluate how effectively virtual and in-person perinatal IOP services treat PMADs and mother-infant bonding.
Methods: This quality-improvement record review examined patient records (n = 361) for a perinatal IOP from May 2016 to July 2023, amid multiple transitions between in-person and virtual services related to COVID-19, influenza, and respiratory syncytial virus.
The incredible capabilities of generative artificial intelligence models have inevitably led to their application in the domain of drug discovery. Within this domain, the vastness of chemical space motivates the development of more efficient methods for identifying regions with molecules that exhibit desired characteristics. In this work, we present a computationally efficient active learning methodology and demonstrate its applicability to targeted molecular generation.
View Article and Find Full Text PDFThe incredible capabilities of generative artificial intelligence models have inevitably led to their application in the domain of drug discovery. Within this domain, the vastness of chemical space motivates the development of more efficient methods for identifying regions with molecules that exhibit desired characteristics. In this work, we present a computationally efficient active learning methodology that requires evaluation of only a subset of the generated data in the constructed sample space to successfully align a generative model with respect to a specified objective.
View Article and Find Full Text PDFJ Racial Ethn Health Disparities
December 2024
Background: Obesity may increase colorectal cancer (CRC) risk through mechanisms of increased inflammation. Although BMI is the most used adiposity indicator, it may less accurately measure adiposity in Black populations. Herein, we investigate associations between BMI, low albumin as an inflammation biomarker, and CRC risk in a racially diverse cohort.
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