Title: Bio-Integrated Flexible and Stretchable Electronics for Skin Sensor Networks
Overview: The workshop aims at drawing the state-of-the-art for skin-like technologies by discussing the latest scientific progress and achievements, the open challenges and the opportunities for future directions. As this research area is at the crossroads of several disciplines (including electronics, electromagnetics, mechanics, materials science, chemistry, biology, medicine, ethics) the workshop will offer the opportunity of fruitful contamination among chemical sensors, electromagnetic components and interconnects, energy harvesting and the smart materials and packaging as well as ethical issues. Organizers: Prof. Gaetano Marrocco (University of Rome Tor Vergata); Dr. Sara Amendola (University of Rome Tor Vergata); Prof. John A. Rogers (Northwestern University).
Overview: The objective of ADM is unobtrusive, continuous long-term diet monitoring as well as supporting sustainable diet change. Investigations on body-worn sensors and related analysis algorithms to monitor dietary behavior have gained wide interest in the BSN community. Several early business ventures are picking up ideas. And still, unobtrusive monitoring and intervention systems for diet management are broadly lacking. The technology must be made ready for free-living everyday use, while capturing various behavioral aspects related to intake. ADM’19 will address the following non-exhaustive list of topics:
1. ADM community development, addressing terminology, frameworks, benchmark datasets & challenges, etc.
2. Intake recognition and pattern analysis algorithms (online and offline) leveraging wearable systems, including intake timing, intake material, amount, and further variables.
3. Studies on, and methodologies for technology-supported situative dietary coaching and guidance towards lifestyle changes.
4. Trustworthy evaluation methodologies, in particular those that generalize onto free-living.
5. Opinions of dietitian and coaches on supportive technology and requirements.
6. Presentations of relevant datasets available to other researchers.
Based on the success of the previous years, ADM’19 will again serve as a scientific exchange, discussion, and networking event. ADM’19 will bring together researchers and students actively developing dietary monitoring technology, practitioners, clinicians, and coaches looking for monitoring systems, and everyone interested in the area. The workshop will feature technical and medical/coaching discussion time. A best student contribution will be awarded. In addition, posters and preparation of a position paper will make ADM’19 an exiting event.
Organizers: Prof. Oliver Amft (Chair of Digital Health – FAU Erlangen-Nürnberg); Dr. Samantha Kleinberg (Stevens Institute of Technology); Dr. Benny Lo, (Imperial College London); Dr. Edison Thomaz (University of Texas at Austin).
Title:Using mHealth Technology to Enable the Clinical Trial of the Future
Overview: The adoption of mHealth technologies in clinical trials has recently gained the attention of researchers and clinicians. These technologies facilitate tracking adverse events, improve the reliability of the clinical trial data thus leading to a decrease in the required sample size, and enable effective strategies to achieve optimal adherence to study protocols. Workshop attendees will hear from field experts about how body sensor networks and other mHealth technologies are currently utilized in clinical trials, how data analytics tools are designed to derive clinically-relevant information from sensor data, and how clinical trial endpoints can be derived from body sensor data. Besides, attendees will have the opportunity to hear how funding agencies look upon these technologies as key to advance medical research and accelerate the path toward clinical adoption of experimental medical interventions. This one-day workshop will be organized in 4 sessions of 90 min each. During each session, two speakers will discuss complementary aspects of four topics:
1) the potential benefits of adopting mHealth technologies in clinical trials with focus on neurological and cardiorespiratory conditions,
2) the development of mHealth platforms meeting the technical specifications of clinical trials,
3) the design and implementation of machine learning algorithms to derive clinical trial endpoints, and
4) the relevance of mHealth technologies to accelerate the assessment of new clinical interventions.
Organizers: Dr. Paolo Bonato (Harvard Medical School); Dr. Federico Parisi (Harvard Medical School); Dr. Bjoern Eskofier (Friedrich-Alexander University Erlangen-Nuernberg)
8:30 am – 10:30 am
Session 1 – The Adoption of mHealth Technologies in Clinical Trials
Session Chair: Paolo Bonato, PhD – Harvard Medical School, Boston MA, USA
· Wendy Nilsen, PhD – National Science Foundation, Alexandria VA, USA