Short talk presentation during Future Medicine Science Match 2020

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

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∅ Rating 2.7 / 5. Number of votes: 73

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Heart Failure detection using smartphones

Scientist: Albert Bravo

Institution: Zencorlabs

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∅ Rating 3.1 / 5. Number of votes: 79

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Gene set inference from large-scale sequencing data using deep learning

Scientist: Dr. Soeren Lukassen

Institution: Charité – Universitätsmedizin Berlin

 

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∅ Rating 3.1 / 5. Number of votes: 80

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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

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∅ Rating 3.7 / 5. Number of votes: 226

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From abstract to tangible outcomes of AI: Cost-effectiveness of AI for caries detection

Institution: Charité – Universitätsmedizin Berlin

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∅ Rating 2.8 / 5. Number of votes: 73

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Virtual Lab for the assessment of risk-benefit ratio of drugs and chemicals

Institution: Charité – Universitätsmedizin Berlin | Freie Universität Berlin

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∅ Rating 3.6 / 5. Number of votes: 237

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Decoding brain signals for next-generation demand adapted neurotherapeutics

Institution: Charité – Universitätsmedizin Berlin

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∅ Rating 3 / 5. Number of votes: 75

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Shaping Workflows in Digital Diabetes Care During the COVID-19 Pandemic: A Service Design Approach.

Scientist: Dr. Katarina Braune

Institution: Charité – Universitätsmedizin Berlin

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∅ Rating 3.7 / 5. Number of votes: 256

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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

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∅ Rating 2.9 / 5. Number of votes: 72

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Healing the Homo Ludens: potentials and risks of the technologies and cultural techniques of Video Gaming for data-driven decision making in medicine

Institution: gamelab.berlin of Humboldt-Universitäts Cluster of Excellence

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∅ Rating 4.5 / 5. Number of votes: 1803

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nocturne – The eye as a window to the brain

Scientist: Dr. Sunil Yadav

Institution: Charité – Universitätsmedizin Berlin

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∅ Rating 3.5 / 5. Number of votes: 129

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GECCO: A standard dataset for COVID-19 research

Scientist: Dr. Moritz Lehne

Institution: Berlin Institute of Health (BIH)

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∅ Rating 2.9 / 5. Number of votes: 65

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Intelligent Alarm Optimizer for Intensive Care Units (INALO): Study Protocol

Institution: Charité – Universitätsmedizin Berlin

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∅ Rating 3.1 / 5. Number of votes: 82

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Anonymizing Data to Promote Open Science on COVID-19

Institution: Charité – Universitätsmedizin Berlin | Berlin Institute of Health (BIH)

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∅ Rating 3.1 / 5. Number of votes: 96

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Risk Classification Models for Kidney Graft Failure

Scientist: Dr. Marcel Naik

Institution: Charité – Universitätsmedizin Berlin

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∅ Rating 3.5 / 5. Number of votes: 147

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#AI4Care – Accelerating Nursing Care with the Help of AI

Institution: Copenhagen Business School, FU Berlin, ECDF

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∅ Rating 3.4 / 5. Number of votes: 125

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Our way towards a recommendation engine for health maintenance – progress report

Institution: Vilua Healthcare GmbH

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∅ Rating 3.7 / 5. Number of votes: 166

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Sepsis does not always end with hospital discharge

Institution: KAIROS GmbH

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∅ Rating 3.1 / 5. Number of votes: 71

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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

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∅ Rating 3 / 5. Number of votes: 77

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ENVISION: Intelligent plug-and-play digital tool for real-time surveillance of COVID-19 patients and smart decision-making in Intensive Care Units

Scientist: Jörg Wegner
Institution: Universitätsklinikum Frankfurt, app@work GmbH

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∅ Rating 3.9 / 5. Number of votes: 562

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#WeAreNotWaiting: The Open-Source Artificial Pancreas

Scientist: Dr. Katarina Braune

Institution: Charité – Universitätsmedizin Berlin

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∅ Rating 4 / 5. Number of votes: 1624

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Sense and Sensitivity: The Diagnostic Accuracy of a Facial Phenotyping Tool (DeepGestalt)

Institution: Charité – Universitätsmedizin Berlin

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∅ Rating 3.4 / 5. Number of votes: 131

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Selecting regulatory variants with Deep Learning for an unbiased compendium of experimental readouts

Scientist: Dr. Max Schubach

Institution: Berlin Institute of Health (BIH)

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∅ Rating 3 / 5. Number of votes: 70

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#nCoVStats: Data Science for the Fight Against Coronavirus

Institution: Hasso Plattner Institute for Digital Engineering

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∅ Rating 4.1 / 5. Number of votes: 597

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Cellular heterogeneity and drug response in pancreatic cancer

Scientist: PhD Teresa Krieger

Institution: Berlin Institute of Health (BIH)

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∅ Rating 3.2 / 5. Number of votes: 95

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Computer-aided interpretation of chest radiography to detect TB in rural South Africa

Scientist: Jana Fehr

Institution: Hasso Plattner Institute for Digital Engineering

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∅ Rating 3 / 5. Number of votes: 67

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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