Welcome
We are pleased to announce the upcoming international conference “Digitalization and Infectious Diseases: Improving patient outcome in the age of big data” on January 20th – January 21st, 2020 at the Conference Congress Center in Basel, Switzerland.
Without doubt, digitalization and machine learning will soon have a profound impact on the daily workflow of modern hospitals. In particular, the diagnostic process and the management of infectious diseases will be significantly improved due to data-driven approaches allowing the usage of digital biomarkers, complex medical decision support systems, and personalized advice based on big data and sophisticated algorithms.
We cordially invite you to join us for stimulating and rigorous scientific discussion. This conference will enhance your insights of digitalization, machine learning and personalized health in infectious diseases. Most recent breakthroughs and translation into applications to clinics will be shown and discussed. Join the key opinion leaders in these fields and build your network with experts in information technology, machine learning and big data, clinical microbiology, infectious diseases, biomedical research, law and ethics, and more. We look forward to seeing you at our conference.
FAMH points available (5 points per day)
FPH points available (Klinische Pharmazie & Spitalpharmazie, 50 points per day)
CME credits available (European Accreditation Council for Continuing Medical Education, 6 points per day)
Speakers
View our full program.
Matthijs Berends
MICROBIAL EPIDEMIOLOGY
UNIVERSITY OF GRONINGEN
CERTE MEDICAL DIAGNOSTICS AND ADVICE
Netherlands
Title: Rapid, reproducible resistance analysis for all- the AMR package for R
Session VIII: Next steps for technology translation into application: Clinic and Early Career perspective, Tuesday 21 January
Claire Bertelli
Bioinformatics, Microbial Genomics and Metagenomics
University Hospital Center of Lausanne
Switzerland
Title: Ontologies fit for machine learning
Session II: Data requirements and infrastructure, Monday 20 January
Karsten Borgwardt
Data Mining, Biosystems Science and Engineering
ETH Zurich
SIB Swiss Institute of Bioinformatics
Switzerland
Title: Machine learning in medicine: Early recognition of sepsis
Session I: Introduction to digitalization, Monday 20 January
Katrin Crameri
Personalized health informatics, Data coordination centre
SIB Swiss institute of bioinformatics
Switzerland
Title: Next steps for nationwide data networks
Session II: Data requirements and infrastructure, Monday 20 January
Valérie D’Acremont
digital and global health
Swiss tropical and public health institute
university of lausanne
Switzerland
Title: Challenges in developing, validating and implementing clinical decision support algorithms
Session VI: Pediatric infectious diseases, Tuesday 21 January
Susanne Driessen
Ethics Commission Eastern Switzerland
Swiss Ethics
Switzerland
Title: Ethical and legal challenges of artificial intelligence and big data
Session VII: Social, legal, ethical and quality, Tuesday 21 January
Sebastian Dümcke
CLEMEDI AG
UNIVERSITY OF ZÜRICH
Switzerland
Title: Combing targeted sequencing and machine learning to optimize antibiotic therapy in tuberculosis patients
Session VIII: Next steps for technology translation into application: Clinic and Early Career perspective, Tuesday 21 January
Adrian Egli
Clinical Microbiology
University Hospital Basel
Switzerland
Title: Diagnostics next steps for infectious diseases
Session V: Clinical focus of machine learning, Monday 20 January
Aldo Faisal
Brain and Behavior, Engineering and Bioengineering
Imperial College London
United Kingdom
Title: How does digitalization affect the management of infectious diseases
Session IX: Next step for technology translation into application: Non-profit and research perspective, Tuesday 21 January
Marie-Valentine Florin
International Risk Governance
École polytechnique fédérale de Lausanne
Switzerland
Title: Social impact and risk governance of machine learning in the context of infectious disease
Session VII: Social, legal, ethical and quality, Tuesday 21 January
Carolina Garcia-Vidal
Infectious Diseases
Hospital Clinic Barcelona
Spain
Title: Artificial intelligence to improve empiric antibiotic treatment
Session IV: Clinical applications with use cases, Monday 20 January
Ernst Hafen
INSTITUTE OF MOLECULAR SYSTEMS BIOLOGY
ETH Zurich
MIDATA
Switzerland
Title: What is a good control group? How to use public data?
Session III: Technology and clinics, Monday 20 January
Jean-Pierre Hubaux
Computer Communications and Applications, Center for Digital Trust
École polytechnique fédérale de Lausanne
Switzerland
Title: Data security in digitalization and machine learning
Session VII: Social, legal, ethical and quality, Tuesday 21 January
Christian Johner
Healthcare IT, Medical device regulation
Johner Institut
Germany
Title: Medical Devices: Regulatory requirements — a jump start
Session VII: Social, legal, ethical and quality, Tuesday 21 January
Rigveda Kadam
Foundation for Innovative New Diagnostics (FIND)
Switzerland
Title: Implementation of digital solutions in low and middle income countries.
Session IX: Next step for technology translation into application: Non-profit and research perspective, Tuesday 21 January
Kristina Keitel
Pediatric emergency medicine, management of fevers
university hospital bern
Swiss tropical and public health institute
Switzerland
Title: Digital tools for diagnosis of infections in low-income settings
Session VI: Pediatric infectious diseases, Tuesday 21 January
Ryan Kindle
computational Physiology, PULMONARY and CRITICAL CARE MEDICINE
Massachusetts Institute of Technology
Harvard/Massachusetts General Hospital/Beth Israel Deaconess Medical Center Combined Program
United States of America
Title: Sharing is caring: Moving toward a global database for critical care
Session III: Technology and clinics, Monday 20 January
Sai Reddy
Systems and Synthetic immunology, BIOSYSTEMS SCIENCE AND ENGINEERING
ETH Zurich
Botnar Research Centre for Child Health
Switzerland
Title: Deep learning reveals patterns of specificity in adaptive immunity
Session VI: Pediatric infectious diseases, Tuesday 21 January
Theresa Reiker
EPIDEMIOLOGY AND TRANSMISSION DYNAMICS
SWISS TROPICAL AND PUBLIC HEALTH INSTITUTE
UNIVERSITY OF BASEL
Switzerland
Title: Machine learning to parameterise individual-based models of malaria transmission
Session VIII: Next steps for technology translation into application: Clinic and Early Career perspective, Tuesday 21 January
Marcel Salathé
Digital Epidemiology, Life sciences, Computer and communication sciences
ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNE
Switzerland
Title: Personalized and public health with machine learning
Session IV: Clinical applications with use cases, Monday 20 January
Jacques Schrenzel
Bacteriology, Genomic Research
University Hospital Geneva
Switzerland
Title: Digitalization and machine learning in clinical microbiology
Session I: Introduction to digitalization, Monday 20 January
Christopher W. Seymour
Critical Care Medicine, Emergency medicine
University of Pittsburgh
United States of America
Title: Machine learning in sepsis: Lessons learned for digitalization and infectious disease
Session III: Technology and clinics, Monday 20 January
Ken P. Smith
Translational clinical microbiology
Beth Israel Deaconess Medical Center
Harvard Medical School
United States of America
Title: Incorporating AI into clinical practice: Opportunities and challenges
Session VIII: Next steps for technology translation into application: Clinic and Early Career perspective, Tuesday 21 January
J. Janne Vehreschild
Internal Medicine
University Hospital of Cologne
Germany
Title: Challenges and risks of digitalization and machine learning in the clinics
Session V: Clinical focus of machine learning, Monday 20 January
Julia Vogt
computer science, institute for Machine Learning
ETH Zurich
SIB Swiss Institute of Bioinformatics
Switzerland
Title: Machine Learning: the new way of personalized medicine
Session I: Introduction to digitalization, Monday 20 January
Jason Yang
Center for Emerging and Re-Emerging Pathogens, Microbiology, Biochemistry and Molecular Genetics
Rutgers New Jersey Medical School
United States of America
Title: White-box machine learning insights into antibiotic efficacy
Session VIII: Next steps for technology translation into application: Clinic and Early Career perspective, Tuesday 21 January
Scientific committee
An international scientific committee, we represent some of the most exciting research being done in digitalization and infectious diseases.
Call for Papers
Frontiers in Cellular and Infection Microbiology announces its call for papers to cover the theme Digitalization and Infectious Diseases. To be covered in a special issue Research Topic in the section Clinical Microbiology they solicit your Reviews, Mini Reviews, Original Research papers and Brief Research Reports until 16 March 2020 for Abstracts and 14 July 2020 for manuscripts.
Organizers
Sponsors
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Additional:
Endorsers and supporters
gold star indicates financial support
Images below – All rights reserved ©Personalized Health Basel
Travel Logistics
Basel, located in Switzerland at the heart of Europe, is a congress city with conveniently situated facilities. The Congress Center Basel enjoys a downtown location, situated directly adjacent to Basel Exhibition Centre. Travel times are short, and the historic old town, the shopping areas and the many museums and parks can be reached comfortably on foot or in a few minutes by public transport.
Public Transport | Travel by Railway |
Travel by car | Travel by plane
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Congress Center Basel
Messeplatz 21
4058 Basel, Switzerland
Basel’s hotels offer accommodation for every taste and need.
Video wall
Conference
Contact
Do you have questions regarding logistics, sponsorship or scientific content of the conference?
Copyright © Universitätsspital Basel 2020
Instagram
Twitter
Thank you to all our sponsors and supporters! #digital_id2020 @biomerieux @metasystems_int @ISBSIB @SPHN_ch @PHRT_CH @snf_ch @BaselStadt @UniBasel_en @UniSpitalBasel @BDandCo @ESCMID @Roche @ETH_en @FrontCellInfect https://t.co/P2v4Tm37w9
Big 🙏 from the #digital_id2020 team to all the delegates, speakers, sponsors and sci committee! Great discussions on #digitalization and #MachineLearning for infectious diseases! #basel @AppliedMicrobi2 https://t.co/J419pJhOUY