Decoding brain signals for next-generation demand adapted neurotherapeutics
Scientist: Prof. Dr. Wolf-Julian Neumnann
Institution: Charité – Universitätsmedizin Berlin
Integration of multidimensional data and latent feature identification for predicting complex phenotypes from high-throughput data
Scientist: Dr. Nico Steckhan
Institution: Hasso Plattner Institute for Digital Engineering
Sepsis does not always end with hospital discharge
Scientist: Dr. Christian Stephan
Institution: KAIROS GmbH
Intelligent Alarm Optimizer for Intensive Care Units (INALO): Study Protocol
Scientist: Dr. Akira-Sebastian Poncette
Institution: Charité – Universitätsmedizin Berlin
nocturne – The eye as a window to the brain
Scientist: Dr. Sunil Yadav
Institution: Charité – Universitätsmedizin Berlin
Artificial intelligence and telemonitoring in high-risk pregnancies – can the current standard of care be improved?
Scientist: Dr. Max Hackelöer
Institution: Copenhagen Business School, FU Berlin, ECDF
#nCoVStats: Data Science for the Fight Against Coronavirus
Scientist: Dr.-Ing. Matthieu-P. Schapranow
Institution: Hasso Plattner Institute for Digital Engineering
Computer-aided interpretation of chest radiography to detect TB in rural South Africa
Scientist: Jana Fehr
Institution: Hasso Plattner Institute for Digital Engineering
#WeAreNotWaiting: The Open-Source Artificial Pancreas
Scientist: Dr. Katarina Braune
Institution: Charité – Universitätsmedizin Berlin
Gene set inference from large-scale sequencing data using deep learning
Shaping Workflows in Digital Diabetes Care During the COVID-19 Pandemic: A Service Design Approach.
Scientist: Dr. Katarina Braune
Institution: Charité – Universitätsmedizin Berlin
Anonymizing Data to Promote Open Science on COVID-19
Scientist: Prof. Dr. Fabian Prasser
Institution: Charité – Universitätsmedizin Berlin | Berlin Institute of Health (BIH)
Selecting regulatory variants with Deep Learning for an unbiased compendium of experimental readouts
Scientist: Dr. Max Schubach
Institution: Berlin Institute of Health (BIH)
Heart Failure detection using smartphones
Scientist: Albert Bravo
Institution: Zencorlabs
AI and 3D skeleton estimation for objective assessments and patient reported outcomes in clinical pathways for hip and knee arthroplasty
Scientist: Kismet Ekinci
Institution: Lindera GmbH
Sense and Sensitivity: The Diagnostic Accuracy of a Facial Phenotyping Tool (DeepGestalt)
Scientist: Dr. Martin Atta Mensah
Institution: Charité – Universitätsmedizin Berlin
Our way towards a recommendation engine for health maintenance – progress report
Scientist: Dr. Jana Hapfelmeier
Institution: Vilua Healthcare GmbH
Virtual Lab for the assessment of risk-benefit ratio of drugs and chemicals
Scientist: Dr. Priyanka Banerjee
Institution: Charité – Universitätsmedizin Berlin | Freie Universität Berlin
GECCO: A standard dataset for COVID-19 research
Scientist: Dr. Moritz Lehne
Institution: Berlin Institute of Health (BIH)
Outcome Prediction from Clinical Notes at Admission Time
Scientist: Betty van Aken
Scientist: Dr. Manuel Mayrdorfer
Institution: Beuth University of Applied Sciences Berlin | Charité – Universitätsmedizin Berlin
Cellular heterogeneity and drug response in pancreatic cancer
Scientist: PhD Teresa Krieger
Institution: Berlin Institute of Health (BIH)
Risk Classification Models for Kidney Graft Failure
Scientist: Dr. Marcel Naik
Institution: Charité – Universitätsmedizin Berlin
#AI4Care – Accelerating Nursing Care with the Help of AI
Scientist: Prof. Daniel Fürstenau
Institution: Copenhagen Business School, FU Berlin, ECDF
From abstract to tangible outcomes of AI: Cost-effectiveness of AI for caries detection
Scientist: Prof. Dr. Falk Schwendicke
Institution: Charité – Universitätsmedizin Berlin
ENVISION: Intelligent plug-and-play digital tool for real-time surveillance of COVID-19 patients and smart decision-making in Intensive Care Units
Scientist: Prof. Dr. Dr. Kai Zacharowski
Scientist: Jörg Wegner
Institution: Universitätsklinikum Frankfurt, app@work GmbH
Healing the Homo Ludens: potentials and risks of the technologies and cultural techniques of Video Gaming for data-driven decision making in medicine
Scientist: Manouchehr Shamsrizi
Institution: gamelab.berlin of Humboldt-Universitäts Cluster of Excellence
The Jury
Photo: Wiebke Peitz | Charité
Photo: David Ausserhofer | MDC
Photo: BIH | Thomas Rafalzyk
Prof. Petra Ritter
BIH Johanna Quandt Professor for Brain Simulation | Berlin Institute of Health (BIH) and Charité – Universitätsmedizin Berlin
Dr. Roland Schwarz
Group Leader Evolutionary and Cancer Genomics | Berlin Institute for Medical Systems Biology (BIMSB), Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC)
Prof. Sylvia Thun
Director Core Unit eHealth and Interoperability (CEI) | Berlin Institute of Health (BIH) and Charité – Universitätsmedizin Berlin
About Future Medicine Science Match
At the Future Medicine Science Match on 7 November 2020, Berlin’s leading newspaper Der Tagesspiegel and the Berlin Institute of Health (BIH), together with Charité – Universitätsmedizin Berlin and Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), bring together the most innovative scientists and international research organizations. This year’s focus: ARTIFICIAL INTELLIGENCE IN TRANSLATIONAL MEDICINE