AI-driven Insights from Real World Data Defining Behavioral Biomarkers and Phenotypes

Kyun Thibaut
MDR impact on Software as Medical Devices

The MDR 2017/745, which is applicable from May 2020 onwards, has a significant impact on Softwares as Medical Devices. This presentation will introduce the major changes and the best way to prepare for the upcoming changes through the analysis of practical cases.

Dr. Aristodemos Pnevmatikakis
Defining Biomarkers & Behavioral Phenotypes

Since there is a wealth of data available, the extraction can even be automatic, as driven by machine learning algorithms, can then be matched to patient-reported or treatment outcomes to establish those that have some outcome predictive capabilities. Such behavioural biomarkers can be grouped to form behavioural phenotypes. This novel phenotyping is needed in the Clinical Research scenario to trim the trials’ design as close as possible to the real world. In this talk, our approach is presented, together with an example using artificial data.

Dr. Marc Kirschner
A European standardization framework for data integration and data-driven in-silico models

EU-STANDS4PM will assess and evaluate national standardization strategies for health data integration as well as data-driven in silico modelling approaches for personalized medicine with the aim to bundle European standardization efforts. A central goal is to develop harmonized standards as well as recommendations and guidelines for predictive data-driven in silico methodologies applied in personalized medicine.

Dr. Sofoklis Kyriazakos
Healthentia.com

Healthentia solution extends the use of a traditional ePRO application by adding activity data and vital sign monitoring collected from IoT devices to combine them with the patient reported outcomes to derive patient behavioural phenotypes using A.I. and machine learning to link them with drug/intervention efficacy.

Prof. Dr. Dr. Harald H.H.W. Schmidt
The end of medicine as know we it.

Existing drugs often fail to provide relevant benefit for most patients. The efficacy of the discovery of new drugs is low and in a constant decline predicting that pharma’s current approach may by the end of the 20’s no longer be financially sustainable. More inspiring things during this presentation. 

dr. Annemieke Witteveen
Towards holistic profiling and personalized cancer treatment

Annemieke Witteveen, PhD works on self-management and decision support for oncology within the Personalized eHealth Technology research program of the University of Twente. Cancer patients are highly heterogeneous and the benefit of personalizing treatment is great. Witteveen will elaborate on the personalization of breast cancer follow-up using individual risk profiles and the PARTNR platform for personalized prediction, monitoring and treatment of cancer-related fatigue.

Konstantina Kostopoulou 
Moderator of panel “How AI can be integrated to Life Sciences and Healthcare”

Dr.ir. Rom Langerak
An example of modeling a treatment protocol with little clinical data

Medical protocols for diagnosis and treatment can be complex since they have to deal with effectiveness, timing, costs, and uncertainty. In addition, they are often composed of various processes in parallel. Formal modeling and analysis of such protocols may help to deal with this complexity. In this presentation we show how we have used the tool UPPAAL (originated in Computer Science) in some practical cases. This approach is also interesting when there is little clinical data, and especially in the context of personalized medicine.

dr. ir. Wendy Oude Nijeweme - d'Hollosy
Intelligent triage and referral for neck and low back pain

Of all Dutch adults, 1 in 5 has musculoskeletal pain, mostly neck and low back pain. More than 50% of these people have limited functioning. Experienced disease burden can be reduced by starting an appropriate treatment as early as possible. However, it appears that more than 30% of the patients are referred back to the general practitioner (GP) with a rereferral to somewhere else. This results in an inefficient care path. In my presentation, I will tell about the first steps taken to optimize the triage and referral on NLBP by means of a data-driven approach.

Prof.dr.ir. Hermie Hermens
Welcome & introduction of the symposium

Francisco Diaz-Mitoma Jr.
Owning Your Health Data is a Human Right

We live in an age of zero privacy. We believe health data is the world's most valuable information. We believe that people should own and control their health data. Bowhead Health's technology empowers people to own and control their health data with military grade encryption. If people decide to they can share their health data with researchers.