5 events found.

Seminar: Health Consumer Operated IT for Mental Health & Lifestyle e-Screening and e-Therapy

As populations become more IT literate there is tremendous potential in the health consumer as a direct user of health IT systems. The health consumer can answer many questions about themselves, functioning as electronic screening for feedback to themselves and to clinicians.
Leveraging on publicly available databases for novel peptidase target discovery

Seminar – 2016/06/10 – Leveraging on publicly available databases for novel peptidase target discovery

Title: Leveraging on publicly available databases for novel peptidase target discovery Seminar language: English Speaker: Dr. Simone Marini Akutsu Laboratory, Kyoto University Abstract: Cleavage is a pivotal aspect of cell metabolism, both cellular and extracellular. It is involved in cell differentiation and cycle control, stress and immune response, removal of abnormally folded proteins and cell […]
Seminar - 2016/5/31 - Microwave-Ultrasound Hybrid Systems in Imaging and Implantable Medical Devices

Seminar – 2016/5/31 – Microwave-Ultrasound Hybrid Systems in Imaging and Implantable Medical Devices

Our group works on the design of new medical devices and concepts that combine advanced electronics with new physical interactions to address challenges in imaging, sensing, and implantable devices. This talk will focus on two of the active areas: i) bedside medical imaging with portable and low-cost systems, and ii) minimally-invasive implantable medical devices (IMDs) for monitoring and modulating local physiology
Outlier detection for clinical monitoring and alerting

Seminar – 17/05/2016 – Outlier detection for clinical monitoring and alerting

Register now Title: Outlier detection for clinical monitoring and alerting Speaker: Prof. Milos Hauskrecht Professor of Computer Science University of Pittsburgh Abstract: Outlier detection has been successfully applied to identification of unusual data instances, unusual behaviors and outcomes. In this work, I present an outlier detection framework for clinical monitoring and alerting that aims to […]