CV Tag: ELLIS

  • Celestine Mendler-Dünner

    Celestine Mendler-Dünner

  • No one size fits all: Artificial Intelligence as Key Technology for Personalised Medicine

    No one size fits all: Artificial Intelligence as Key Technology for Personalised Medicine

    Artificial intelligence is one of the technologies that are key to Europe’s future. The areas of application are manifold, but not yet fully anchored in society. In the field of healthcare, the crucial role that data collection and analysis can play in the treatment of diseases has already been recognised. Personalised medicine is one out of many key applications of this modern data-driven approach to healthcare. Cross-disciplinary collaboration and a strong European network of AI hubs are needed to lever the full potential of AI.

    With the Cyber Valley, Baden-Württemberg has created a powerful hub for AI. Different universities and university hospitals, research institutes and industry are working closely together in an integrated approach, having established a globally recognised European network.

    We will discuss with our distinguished panellists the interfaces between AI and medicine, the cooperation between science and industry as well as the future funding instruments for health and AI planned by the European Commission.

     

    Programme

    01:30 p.m.

     

    Welcome

    Bodo Lehmann, Head of the Representation of the State of Baden-Württemberg to the European Union

     

                      Introduction

                   Dr. Julia Stamm, Founder and Director, Science Leads, Berlin

     

    01:35 p.m.

     

    Keynote speech

    Minister Theresia Bauer MdL, Ministry of Science, Research and Arts of the State of Baden-Württemberg

     

    afterwards

     

    Keynote speech

    Prof. Dr. Bernhard Schölkopf, Director, Max Planck Institute for Intelligent Systems, Co-Founder of the Cyber Valley and Member of the Board of ELLIS Society (European Laboratory for Learning and Intelligent Systems)

     
     

    01:45 p.m. 

     

    Panel discussion with

    Dr. Karim Berkouk, Deputy Head of Unit Combatting Diseases, DG Research and Innovation, European Commission

    Dr. Nuria Oliver, Chief Data Scientist, Data-Pop Alliance, Member of the Board of ELLIS Society (European Laboratory for Learning and Intelligent Systems) and ELLIS Unit Alicante

    Dr. Oliver Stegle, Head of Division, Computational Genomics and Systems Genetics, German Cancer Research Center Heidelberg and European Molecular Biology Laboratory Heidelberg

    Moderator: Dr. Julia Stamm, Founder and Director, Science Leads, Berlin

     

    afterwards

     

    Q&A with the audience

     

    02:45 p.m.

     

    Outlook

    Priorities in research and innovation under the German EU Council Presidency

    Michael Vorländer, Head of Unit Education and Research, Permanent Representation of Germany to the European Union

     

    02:55 p.m.

     

    Closing remarks

    Dr. Julia Stamm, Founder and Director, Science Leads, Berlin

     

     

     

    Please use this link for your registration.
    You will receive the link for the online stream in your registration confirmation by email.
    We look forward to your participation!
    Yours sincerely,
    Bodo Lehmann
    Head of the Representation of the State of Baden-Württemberg
    to the European Union
    Please see attached for information on our data protection policy according to the General Data Protection Regulation.
    Note:
    With your registration, you give permission to publish photos and videos that will be taken or recorded during the event and you agree with the storage of your personal data.

     

  • ELLIS against Covid-19

    ELLIS against Covid-19

    Agenda

    * Speakers and talk titles are subject to change

    * All times in Central European Summer Time (CEST)

    Time Session
    1:30pm 1:35pm

    Introduction

    • Sepp Hochreiter
    1:35pm – 2:20pm

    Epidemiology & modeling

    • Peter Grünwald (10 min): The BCG CORONA and BCG-CORONA-ELDERLY Clinical Trials.
    • Alessandro Betti, Marco Gori (10 min): Learning the Dynamic SIR Model: An Optimal Control Approach
    • Johannes Zierenberg (10 min): Inferring COVID-19 spreading rates and potential change points for case number forecasts
    • Questions & discussion (15 min)
    2:20pm – 3:05pm

    Data, privacy and ML challenges

    • Antti Honkela (10 min): Privacy-preserving contact statistics collection for COVID-19 epidemic management
    • Thomas M. Hermans and Andre Loesekrug-Pietri (5 min):  The JEDI Grand Challenge
    • Kostas Kavoussanakis (5 min): Rapid Assistance in Modelling the Pandemic (RAMP)
    • Rolf Apweiler (10 min):  The European COVID-19 Research Data Platform 
    • Questions & discussion (15 min)
    3:05pm – 3:30pm

    Images

    • Victoria Schpacovitch, Katharina Morik (10 min): Resource optimising real-time analysis of artifactious image sequences for the detection of nano-objects
    • Plamen Angelov (5 min): COVID-19 CT Scan Classification via Explainable Deep Learning
    • Questions & discussion (10 min)
    3:30pm – 3:35pm

    Concluding discussion

     

    Send questions and comments to the speakers here: https://forms.gle/pBohVJyVQBYNbNy36

    The event will be livestreamed. You can watch it on YouTube: https://youtu.be/3VsKaiJB4Mc

  • ELLIS against Covid-19

    ELLIS against Covid-19

    Agenda

    * Speakers and talk titles are subject to change

    * All times in Central European Summer Time (CEST)

    Time Session
    1:30pm 1:40pm

    Introduction

    • Max Welling
    1:40pm – 2:40pm

    Diagnostics: molecular and imaging

    • Fabian Theis (15 min): "Leveraging single-cell transcriptomics to understand the molecular basis for SARS-CoV-2 distribution in the population"
    • Victor Greiff (15 min): "Methods for mining the adaptive immune repertoire for SARS-CoV-2 diagnostics and therapeutics"
    • Clarisa Sanchez (15 min): "CT analysis using machine learning to address COVID-19"
    • Questions & Discussion (15 min)
    2:40pm – 3:20pm

    Modeling and tracing

    • Bernhard Schölkopf (15 min): "COVID-19 machine learning projects at Max Planck Institute"
    • Luca Feretti (15 min): "Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing"
    • Questions & Discussion (10 min)
    3:20pm – 3:50pm

    Data & platforms

    • Mads Nielsen (5 min): "Overview of Danish ICU risk assessment study"
    • Russ Taylor (5 min): "Telerobotics for Intensive Care Unit"
    • Cecilia Mascolo (5 min): "Mobile Health Diagnostics through Audio Signals: a COVID-19 case study"
    • Questions & Discussion (15 min)
    3:50pm – 4:00pm

    Concluding discussions

    • General Discussion and Wrap-Ups (10 min)
    • End of meeting

     

    Send questions and comments to the speakers here: https://forms.gle/u1YngqpimVPuwYZT6

  • ELLIS against Covid-19

    ELLIS against Covid-19

    Agenda

    * Speakers and talk titles are subject to change

    * All times in Central European Summer Time (CEST)

    Time Session
    1:30pm 1:45pm

    Introduction
    1:45pm – 2:30pm

    Outbreak prediction / tracking & epidemiological modelling

    • Nuria Oliver (15 min): "Data Science to fight against COVID-19" (link to recording)
    • Richard Neher (15 min): "Tracking SARS-Cov-2 using viral genomes and projecting its spread" (link to recording)
    • Questions & Discussion
    2:30pm – 2:55pm

    Viral & host genome sequencing

    • Chris Mason (15 min): "A Rapid, International COVID-19 and Microbial Monitoring Network" (link to recording)
    • Questions & Discussion
    2:55pm – 3:40pm

    Drug development

    • Guenter Klambauer (15 min): "Screening for SARS-CoV inhibitors" (link to recording)
    • Yoshua Bengio (15 min): "COVID-19 research at MILA" (link to recording)
    • Questions & Discussion
    3:40pm – 4:05pm

    Healthcare management

    • Mihaela van der Schaar (15 min): "Using machine learning and PHE data to help hospitals cope with COVID-19" (link to recording)
    • Questions & Discussion
    4:05pm – 4:30pm

    Data, resource, open challenges & community platforms

    • Fred Hamprecht (5 min): "COVID: volunteering for machine learners" (link to recording)
    • Devvret Rishi (5 min): "Understanding COVID-19 with the help of a million data scientists" (link to recording)
    • Questions
    4:30pm – 5:00pm

    Concluding discussions

  • Valérie Callaghan

    Valérie Callaghan

  • Matthias Bethge

    Prof. Matthias Bethge

  • Bernhard Schölkopf

    Prof. Bernhard Schölkopf