Successes and Failures in Implementing ML Models at Duke Health

The Laboratory for Transformational Administration (LTA) is an Operational Data Science group in the Duke Department of Surgery. Dr. Buckland, the medical director of the LTA, discusses the implementation science and lessons learned from deploying computational models into the healthcare workflow; times it worked, times it very much did not, and how the failures of...

Ultrasonic Contrast Agents and Transcranial Simulation: A Duo Exposition of Computational Mechanics in Ultrasound Medicine

Hossein Salahshoor, an assistant professor of civil and environmental engineering at Duke University, discusses how his lab uses computational modeling to test how an emerging class of contrast agents for ultrasonic imaging, known as gas vesicles (GVs), respond under ultrasound, and the emerging field of ultrasonic neuromodulation (UNM). https://www.youtube.com/watch?v=B0E_hFGZdyQ

Stochastic Modeling for Computational Personalized Medicine: Accounting for Variability When, and Where, It Matters

In this talk, Johann Guilleminot discusses the construction, identification, and simulation of mathematically consistent stochastic models for computational personalized medicine. The aim is to develop admissible representations and numerical methods capturing inter- and intra-patient variations in physical parameters, to endow diagnosis and medical procedures with a certain level of confidence. https://www.youtube.com/watch?v=PZXV_7f44os

Edge an IoT-supported Intelligent and Augmented Reality: Promise, Challenges, and Solutions

Professor Maria Gorlatova discusses mobile augmented reality (AR), which integrates virtual objects with 3D real environments in real time. AR is broadly expected to redefine how we interact with technology and the world around us. Yet current AR falls short of many of the expectations. Gorlatova presents a vision of multi-device, edge computing-supported and Internet-of-Things...

The Digital Physiome: Wearables for Disease Detection and Monitoring

Dr. Jessilyn Dunn is Assistant Professor of Biomedical Engineering and Biostatistics & Bioinformatics at Duke University, and Director of the BIG IDEAs Laboratory whose goal is to detect, treat, and prevent chronic and acute diseases through digital health innovation.