Digital models and digital twins of human circulatory transport could transform the way cardiovascular and haematological diseases are understood, monitored and treated. Digital twins are dynamic virtual representations of physical systems that continuously assimilate real-world data to simulate and predict system behaviour. However, translating digital twins into clinical practice remains challenging owing to the complexity…
Peripheral artery disease (PAD) is a leading cause of limb loss and morbidity worldwide, with chronic limb-threatening ischemia (CLTI) representing its most severe presentation. Although image-guided endovascular interventions are routinely performed, clinicians currently lack tools that provide real-time, patient-specific predictions of hemodynamic outcomes to guide revascularization decisions. Existing computational fluid dynamics (CFD) approaches can recover…
Diabetes self-management is increasingly shaped by digital health technologies, yet existing conceptual definitions do not fully reflect this evolving landscape. This study aimed to refine the concept of diabetes self-management in the digital health era by applying Rodgers’ evolutionary method integrated with Natural Language Processing (NLP). Ninety-seven studies were analyzed through a dual-phase design combining…
As telehealth achieves a steady state in the post–Covid-19 pandemic health care landscape, health systems require operational models that can support clinicians across service lines. The authors describe a highly successful case study of a centralized telehealth support model, the Virtual Care Center (VCC), within Duke University Health System, a large academic health system. Duke…
Biomedical engineers at Duke University, including Center member Daniel Reker, have developed a platform that combines automated wet lab techniques with artificial intelligence (AI) to design nanoparticles for drug delivery. The approach could help researchers deliver difficult-to-encapsulate therapeutics more efficiently and effectively. Read the article
Digital twins offer a promising approach to advancing healthcare by providing precise, noninvasive monitoring and early detection of diseases. In heart failure (HF), a leading cause of mortality worldwide, they can improve patient monitoring and clinical outcomes by simulating hemodynamic changes indicative of worsening HF. Current techniques are limited by their invasiveness and lack of…
Robotics, driven by advancements in physical artificial intelligence (AI), offers potential solutions–yet many challenges– to creating innovative care models to meet the needs of the future. Purpose To present an overview of robotics across various industries and explain how physical AI is aiding the development and integration of robots into skilled nursing. We discuss the…
Creative solutions are needed to enhance mobility activities in the ICU to combat the sequela of prolonged bed rest. Virtual reality has gained favor for use in outpatient areas, yet the user experience of the ICU patient is relatively unknown. This qualitative study aimed to explore the patient experience of ICU mobility as it relates…