Das höchste Entscheidungsgremium des MeDICulm ist dessen Vorstand (Executive Board). Seine Aufgabe ist die Koordination aller Aktivitäten des MeDICulm und die Abstimmung mit anderen Datenintegrationszentren (sowohl innerhalb des Konsortiums DIFUTURE als auch auf nationaler Ebene in den Arbeitsgruppen der MII). Ferner zählt zu seinen Aufgaben das Festlegen gemeinsamer Richtlinien für Infrastruktur, Architektur, Prozesse und Anwendungsfälle. Der Vorstand ist verantwortlich, die bestmögliche Aufgabenerfüllung durch das MeDICulm sicherzustellen.
Stimmberechtigte Mitglieder:
Prof. Dr. Thomas Wirth, Dekan der Medizinschen Fakultät Universität Ulm
Prof. Dr. Udo X. Kaisers, Leitender Ärztlicher Direktor Universitätsklinikum Ulm
Robert Mahnke, Leiter Zentrum für Information und Kommunikation
Prof. Dr. Hans A. Kestler, Wissenschaftlicher Leiter und kommisarischer DIZ-Leiter des MeDICulm
Prof. Dr. Thomas T. W. Seufferlein, Anwendungsvertreter
Ralf Rambach, Patientenvertreter
Das DUAC führt eine fachliche und inhaltliche Prüfung von Nutzungsanträgen durch und stützt sich hierbei auf vorliegende Voten beteiligter Ethikkommissionen sowie der lokalen Kompetenzen aus den Bereichen Datenschutz, Ethikkommission und Justitiariaten. Sie führen eine Entscheidung zur Nutzungsfreigabe herbei.
Mitglieder des DUAC
Prof. Dr. Udo X. Kaisers, Leitender Ärztlicher Direktor Universitätsklinikum Ulm
Prof. Dr. Hans A. Kestler, Wissenschaftlicher Leiter und kommissarischer Leiter des MeDICulm
Prof. Dr. Josef Högel, Vertreter Biostatistik
Prof. Dr. Florian Steger, Vertreter Ethikkommission
Dr. Angelika Kestler, Anwendungsvertreterin
Ralf Rambach, Patientenvertreter
Hannah Spohn, Datenschutzkoordinierende für MeDIC
Das Universitätsklinikum Ulm und das Universitätsklinikum Tübingen betreiben gemeinsam eine unabhängige Treuhandstelle - Treuhandstelle Tübingen Ulm (THTU) - als technisch und organisatorisch eigenständige Einheit. Die THTU verwaltet die patienten-identifizierenden Merkmale (IDAT) und Pseudonyme der Forschungsdaten, die in den Datenintegrationszentren beider Kliniken gespeichert und verarbeitet werden. So gewährleistet sie eine datenschutz-konforme Datenhaltung der Datenintegrationszentren an den beiden Standorten.
Kontak:
Treuhand.MeDIC[at]uniklinik-ulm.de
Treuhand.DIFUTURE[at]uniklinik-ulm.de
Wissenschaftlicher Mitarbeiter (m/w/d)
Our paper "Identification of ordinal relations and alternative suborders within high-dimensional molecular data" has been published in Frontiers in Bioinformatics.
Our paper "Dealing with Class Overlap Through Cluster-BasedSample Weighting" has been published in Computers.
Our paper "A novel quantum algorithm for efficient attractor search in gene regulatory networks" has been published in Patterns.
Our paper "CLL to Richter syndrome: Integrating network strategies with experiments elucidating disease drivers and personalized therapies" has been published in Science Advances.
"Deep Learning Predicts Postoperative Mobility, Activities of Daily Living, and Discharge Destination in Older Adults from Sensor Data" has been published in Sensors.
Our paper "Robust signalling entropy estimation for biological process characterization" has been published in Briefings in Bioinformatics.
"Proposal for Using AI to Assess Clinical Data Integrity and Generate Metadata: Algorithm Development and Validation" has been published in JMIR Medical Informatics.
Our paper "Sparse keypoint segmentation of lung fissures: efficient geometric deep learning for abstracting volumetric images" has been published in the International Journal of Computer Assisted Radiology and Surgery. Please find electronical supplementary material here.
Our paper "Boolean network modeling and its integration with experimental read-outs: An interdiscipliary presentation using a leukemia model" has been published online first in Pathologie.
"Combined analysis of a serum mRNA/miRNA marker signature and CA 19-9 for timely and accurate diagnosis of recurrence after resection of pancreatic ductal adenocarcinoma: A prospective multicenter cohort study" has been published online first in the United European Gastroenterology Journal.
"Identifications of Similarity Metrics for Patients With Cancer: Protocol for a Scoping Review" has been published in JMIR Research Protocols.
"Recent Trends and Future Challenges in Learning from Data" has been published with Springer.
Our paper "Permutation-invariant linear classifiers" has been published in Machine Learning.
Our paper "Prediction of resistance to bevacizumab plus FOLFOX in metastatic colorectal cancer-Results of the prospective multicenter PERMAD trial" has been published in PLoS One.
Our paper "Segmentation-based cardiomegaly detection based on semi-supervised estimation of cardiothoracic ratio" has been published in Scientific Reports.
"Prospective study validating a multidimensional treatment decision score predicting the 24-month outcome in untreated patients with clinically isolated syndrome and early relapsing–remitting multiple sclerosis, the ProVal-MS study" has been published in Neurological Research and Practice.
Our paper "GatekeepR: an R shiny application for the identification of nodes with high dynamic impact in boolean networks" has been published online first in Bioinformatics.
Our paper "The Necessity of Interoperability to Uncover the Full Potential of Digital Health Devices" has been published in JMIR Medical Informatics.
"Multicentric pilot study to standardize clinical whole exome sequencing (WES) for cancer patients" has been published in npj Precision Oncology.
Our paper "AMBAR-interactive alteration annotations for molecular tumor boards" has been published in Computer Methods and Programs in Biomedicine.
"A protocol for the use of cloud-based quantum computers for logical network analysis of biological systems" has been published in STAR Protocols.
Our first quantum computing paper "Leveraging quantum computing for dynamic analyses of logical networks in systems biology" has been published in Patterns.