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ETIM 2022
Artificial Intelligence and Bioinformatics
Emerging technologies in medicine
Tell Me More
André Zelck- Zelck – Film/Fotografie
10-11 June 2022

...because it will be more interesting to meet again in person in Essen.

ETIM 2022

Artificial Intelligence & Bioinformatics

ETIM 2022 will start for the first time as a symposium of the "Institute for Artificial Intelligence in Medicine" founded in 2020. IKIM is one of the first institutes in Germany to start in this important field of innovation. And as pioneers in diverse areas of medicine, the institute's researchers always have their finger on the pulse of the times, thus guaranteeing exciting presentations and exceptional speakers.

 

Advancing Technology

Advances in healthcare and medical research are already strongly driven by information technology and engineering. Technologies like individual genome sequencing, high-performance multiparametric imaging or wearable medical devices generate exponentially growing datasets while contemporary data-mining techniques allow to extract large amounts of valuable data from existing archives of unstructured medical data. These offer the opportunity for highly specific clinical decision making and personalized precision medicine.

Challenges & Opportunities

Further acceleration of medical innovation by upcoming technologies like artificial intelligence and smart hospital can be safely predicted. However, as complex challenges often require complex solutions, these technologies demand an interdisciplinary approach between clinicians, computer scientists, engineers, researchers, healthcare providers, legislators and many other disciplines.

Insights & Networking

We are poised to bring all stakeholders to the table to define the demands of clinicians and healthcare providers, outline technical solutions and create a common understanding of the opportunities, and also the difficulties that may arise. With the fifth ETIM meeting we aim to create new insights, stimulate networking and initiate a sustained flow of communication between individual experts and workgroups.

Conference Speakers

Conference Chairs

Michael Forsting

Chairman of the Department of Radiology
Chief Medical Officer, IT Department,
Essen University Hospital
Vice Dean for Finance and Structure,
University of Duisburg-Essen

Jochen Werner

Medical Director and
Chairman of the Board,
Essen University Hospital

The IKIM Team

Jens Kleesiek

Medical Machine Learning

Folker Meyer

Data Science

Felix Nensa

AI and Data Integration

Christin Seifert

AI for Oncology

Guest of honor

Jörg Dräger

Executive Director of the Board of Trustees,
Kühne Foundation, Schindellegi, Switzerland

Coding is politics: How algorithms influence our lives

Day 1, June 10th 2022

Lena Wiese

Goethe - University of Frankfurt am Main,
Institute for Computer Science,
Professorship Database Technologies and Data Analytics
Frankfurt am Main, Germany

Similarity-based cohort analysis on ICU data

Tobias Gantner

HealthCare Futurists, Managing Director
Cologne, Germany

The Cochrane Moment: The Role of AI
as an indicator of an organization‘s digital readiness.
Embracing next-level innovation in healthcare

Elsa Kirchner

University of Duisburg-Essen
Faculty of Engineering, Department of Electrical Engineering and Information Technology
Institute Director Medical Technology Systems
Affiliated with DFKI, Robotics Innovation Center, Bremen, Head of Intelligent Healthcare Systems
Essen, Germany

Exoskeleton based Stroke Rehabilitation

Suzan Verberne

Leiden University,
Associate professor at the Leiden Institute of Advanced Computer Science,
Leiden, the Netherlands.

Text mining for health knowledge discovery.

Ulrich Schieborr

Elsevier Clinical Solutions, Commercial Product Manager
Amsterdam, the Netherlands

In knowledge traffic, natural intelligence
has the right of way before artificial intelligence
turns on the turbo: The view of an information service provider

Maurice van Keulen

University of Twente, Associate Professor,
Data Management Technology
Enschede, the Netherlands

AI in health and the struggle for high quality data

Seyed-Ahmad Ahmadi

NVIDIA, Senior Solution Architect
Munich, Germany

AI Computing Platforms for Healthcare and Life Sciences

Johannes Hofmanninger

contextflow,
Senior Machine Learning Engineer
Vienna, Austria

Data-centric development of machine-learning models for clinical practice

Getnet Aseffa

iCog Labs, CEO, Addis Abeba, Ethiopia

Emerging technology and its
exponential advantages of Leapfrogging African economy,
in healthcare and education

Daniel Kondermann

CEO Quality Match GmbH
Heidelberg, Germany

What is a good dataset and why do we need it?

Jens Koegler

Healthcare Industry Director EMEA, VMware
Munich, Germany

The Digital Foundation for Innovation and AI in Healthcare.
Agile, Outcome-focused and Secure.

Arno Koldewee

Product Director & Lead
AI Informatics & Marketplace for Healthcare at Philips,
Utrecht Netherlands

Delivering AI at Scale

Peter Gall

Head of Portfolio & Partners - Siemens Healthineers

Increasing the diagnostic resolution of MRI

Alexander Huppertz

Radiologist,
CEO & Founder of NeoQ Quality in Imaging GmbH,
Berlin, Germany

Radiology workplace of the future: Deep Integration of AI into Guided Reporting

Alexander Schönhuth

University of Bielefeld,
Faculty of Engineering / AG Genome Data Science
Bielefeld, Germany

Predicting genetic diseases from genotype profiles using capsule networks

Day 2, June 11th 2022

Rob Finn

European Bioinformatics Institute (EMBL-EBI)
Section Head - Genome Assembly & Annotation
Microbiome Informatics Team Leader
Cambridge, Hinxton, United Kingdom

Genome Resolved Metagenomics -
understanding the metabolic potential of microbial communities

Jan Baumbach

University of Hamburg,
Institute for Computational Systems Biology, Director
Hamburg, Germany

Privacy-preserving network and systems medicine

Gunnar Klau

Heinrich Heine University of Düsseldorf,
Head of Algorithmic Bioinformatics
Düsseldorf, Germany

Towards explainable AI models in cancer research — a combinatorial perspective

Nikos Kyrpides

DOE Joint Genome Institute,
Head, Microbiome Data Science
Berkeley, California, USA

TBA

Axel Mosig

Ruhr-University Bochum,
Head of RUB Bioinformatics group
Bochum, Germany

Molecularly Interpretable Machine Learning for Computational Pathology

Tobias Marschall

Heinrich Heine University Düsseldorf,
Director of the Institute for
Medical Biometry and Bioinformatics
Düsseldorf, Germany

Structural variation and pangenome-based genome inference

Michael I. Love

University of North Carolina-Chapel Hill,
Assistant Professor,
Department of Biostatistics, Department of Genetics
Chapel Hill, North Carolina, USA

Allelic RNA-seq analysis
with Salmon and Swish

Kieran Campbell

University of Toronto,
Assistant Professor,
Departments of Molecular Genetics
and Statistical Sciences
Toronto, Canada

Probabilistic machine learning for highly multiplexed imaging data

Ullrich Köthe

Adjunct Professor for Computer Science,
Heidelberg University, Germany

Solving inverse problems with machine learning

Conference Schedule

(times are subject to change)

Location

Lehr- und Lernzentrum der Medizinischen Fakultät
Virchowstraße 163a
45147 Essen , Germany
GEO: 51.432924, 6.988292
Car parking facility:
Virchowstraße 175
45147 Essen, Germany

Registration

REGISTER NOW!

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Supporters

 

Sponsors


Disclosure of financial support according to transparency guidelines FSA-Kodex Fachkreise (§ 20 Abs. 5). For booth and advertisement, respectively:Siemens 15.000€, Philips 5.000€, vmware 3.700€, DELTA Computer Products GmbH 3.000€, Medtron AG 2.500 €, neoQ 2.000€, contextflow 2.000€, VISUS Health IT GmbH 2.000€, ELSEVIER GmbH 1.200€, Bracco Imaging Deutschland GmbH 1.000€

Contact Us

*CME Points: 8 points for the first day, 5 points for the second day.