News

Stroke care, particularly in ischemic (thrombotic) events, is time-sensitive. Early identification and appropriate management in the initial hours after the event are associated with lower morbidity and mortality as well as a reduction in healthcare costs. According to the European Heart Network, the annual economic costs of...

Randomised controlled trials (RCT) in chronic heart failure (CHF) usually have a select patient population, where women and those with multi-morbidity are often underrepresented. Therefore, the use of big data is becoming increasingly more popular in epidemiological research to better cover the heterogeneity. Health insurance...

The science prize of Responsible Research (Forschung in Verantwortung) awarded by the organization Stifterverband with the recommendation of the Leibniz Association, has recognized the research conducted by Prof. (Univ. Simon Bolivar) Dr. Maria-Esther Vidal and the members of the Scientific Data Management group at TIB....

The BigMedilytics project was widely represented at the European Big Data Value Forum 2020 that took place virtually between the 3rd and the 5th of November 2020 under the theme “Building a strong European Data and AI Ecosystem”. The project was one of the sponsors...

Dr. Supriyo Chatterjea, a senior scientist at Philips Research and coordinator of BigMedilytics, participated on the 28th of October in the Artificial Intelligence in Healthcare Symposium, a virtual event organized by the Life Science Alliance and the MOLIT institute of personalized medicine. The virtual symposium brought...

The German Society of Nephrology (DGfN) has awarded the German Future Award of Nephrology to the working group “Digital Nephrology” of Charité – Universitätsmedizin Berlin represented by Dr. Wiebke Düttmann, Dr. Fabian Halleck, Prof. Dr. Klemens Budde and the projects they are working on such...

About 15 million patients suffer from heart failure in Europe. For this patients, annual mortality rate is between 10% to 20%. Heart failure patients, in particular those with (multiple) comorbidities, do not receive optimal medical therapy, leading to potentially avoidable specialist-visits and frequent hospitalizations, impaired...

The BigMedilytics project has published a report that presents the final implementations of all the project pilots based on external validation. This document gathers information collected from the previous deliverables (“Initial prototypes of specific components for all BigMedilytics pilots” and “Updated prototypes of specific components...

The use of data is essential for better, personalized health care. But personal data cannot simply be shared. This is a dilemma: on the one hand using as much data as possible for new insights and on the other hand data minimization for GDPR compliance. In...

One of the pilots within the BigMedilytics project is studying the impact of comorbidities in chronic diseases and how the clustering contributes to increase risk of hospitalization and reduce survival. Heart failure is a mounting disease and factors around it can impact on prognosis. In particular,...