Objective: This systematic review and meta-analysis aimed to report the effectiveness of DTx interventions in the management of patients with type 1 diabetes, type 2 diabetes, and prediabetes. Methods ...
AI identifies more at-risk patients, challenging health systems like Stanford Health Care and Penn Medicine to manage increased clinical ...
Abstract: Hybrid spring-mass systems with switched dynamics present significant challenges for modeling and control due to their complex nonlinear dynamics and discrete state transitions. Traditional ...
Risk stratification of patients with chest pain has traditionally focused on identifying obstructive coronary artery disease (CAD). Using this traditional approach, many symptomatic individuals are ...
Nathan Eddy works as an independent filmmaker and journalist based in Berlin, specializing in architecture, business technology and healthcare IT. He is a graduate of Northwestern University’s Medill ...
A Spring Boot backend for managing loan accounts, customers, repayments, and schedules. Includes a Python/Flask ML microservice for credit risk assessment. ├── src/ # Main Spring Boot application ├── ...
Multi-disciplinary patient blood management (PBM) programs — which go beyond blood bank projects to manage and preserve a patient’s own blood — can improve health outcomes, reduce the cost of care and ...
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