D. Upadhyay
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View article: Adherence to Accelerometer Use in Older Adults Undergoing mHealth Cardiac Rehabilitation: Secondary Analysis of a Randomized Clinical Trial
Adherence to Accelerometer Use in Older Adults Undergoing mHealth Cardiac Rehabilitation: Secondary Analysis of a Randomized Clinical Trial Open
Background Wearable accelerometers, which continuously record physical activity metrics, are commonly used in mobile health–enabled cardiac rehabilitation (mHealth-CR). The association between adherence to accelerometer use during mHealth-…
View article: Unbiased self supervised learning of kidney histology reveals phenotypic and prognostic insights
Unbiased self supervised learning of kidney histology reveals phenotypic and prognostic insights Open
Deep learning methods for image segmentation and classification in histopathology generally utilize supervised learning, relying on manually created labels for model development. Here, we applied a self-supervised framework to characterize…
View article: Initiating Medications During Hospitalization and Strategies for Ensuring Linkage at Discharge for Patients With Opioid Use Disorder: A Scoping Review
Initiating Medications During Hospitalization and Strategies for Ensuring Linkage at Discharge for Patients With Opioid Use Disorder: A Scoping Review Open
Hospitalization presents a critical opportunity to initiate medications for opioid use disorder (MOUD) and improve long-term outcomes for patients with opioid use disorder (OUD). While inpatient MOUD initiation significantly reduces mortal…
View article: Phenotypic and prognostic insights through unbiased self-supervised learning on kidney histology
Phenotypic and prognostic insights through unbiased self-supervised learning on kidney histology Open
Deep learning methods for image segmentation and classification in histopathology generally utilize supervised learning, relying on manually created labels for model development. Here, we applied a self-supervised framework to characterize…
View article: Weight loss is associated with improved daytime time in range in adults with prediabetes and non‐insulin‐treated type 2 diabetes undergoing dietary intervention
Weight loss is associated with improved daytime time in range in adults with prediabetes and non‐insulin‐treated type 2 diabetes undergoing dietary intervention Open
Aims To characterize changes in continuous glucose monitoring (CGM)‐derived time in tight range (TIR) measures in individuals with prediabetes or non‐insulin‐treated type 2 diabetes undergoing dietary weight loss intervention and to quanti…