24 June 09:30 am – 05:30 pm CEST >> digitally delivered

Program ADTCA 2021

All speakers confirmed!

09:30 – 09:55

Antimicrobial resistance: Global threat and how Data Technologies help curbing AMR
Dr Maarten B.M. van Dongen; AMR Insights, The Netherlands

I. Data Tech to Prevent Infectious Diseases
09:55 – 10:20

Digitizing surface disinfection with UVC robots – scalable implementations lessons learned
Per Slycke; Loop Robots, The Netherlands

II. Data Tech to improve Antimicrobial Stewardship
10:20 – 10:45

Knowledge support in primary care during consultation for antimicrobials prescribing
Prof Tjeerd van der Staa; University of Manchester, UK
10:45 – 11:10

AI in a gamified program to improve global antibiotics prescription behaviour
Dr Gerard Mulder; MindGame, The Netherlands 
11:10 – 11:35
Healthcare informatics and data mining technologies to deliver Antimicrobial Stewardship
Dr Mads Lause Mogensen; Treat Systems, Denmark
11:35 – 11:45

Using real world data to curb AMR
Dr Menno Kok; EIT Health Belgium-Netherlands

III. Data Tech to improve Microbial Diagnostics
11:45 – 12:10

AI imaging technology for combating antibiotic resistance
Prof Roman Stocker; ETH Zurich, Switzerland and PhAST, USA – CH – South Korea
12:10 – 12:35

Using AI to diagnose AMR from Whole Genome Sequencing data
Dr Leonid Chindelevitch; Imperial College London, UK

>> Lunch

13:00 – 13:25

Non-invasive, point-of-need diagnosis of bacterial infections from human breath using data analytics
Dr Michael Graz; Imspex Medical, UK / BioPhys Ltd, UK
13:25 – 13:50

AI and Machine Learning options for long distance flock behavior and droppings analyses: field experiences of a gut health company
Martijn Adorf; Animal Health Concepts, The Netherlands

IV. Data Tech for Novel Antibiotics & Antimicrobial Strategies
13:50 – 14:05

Open data for discovery of novel antibiotics
Dr Wolfgang Fecke, EU-OPENSCREEN ERIC, Germany
14:05 – 14:15

NIH/NIAID Support to Meet the AMR challenge
Dr Liliana Brown; National Institute of Health, USA
14:15 – 14:40

Revolutionizing infectious disease diagnostics and antimicrobial therapy with AI-powered DNA testing
Dr Arne Materna; Ares Genetics GmbH, Austria
14:40 – 15:05

Combining AI and Big Data Analytics to Develop Novel Drugs for AMR Pathogens
Dr Anvita Gupta; AINovo Biotech Inc, USA

15:05 – 15:25

Utilising curated antibacterial data to guide medicinal chemistry and AI/ML assisted design
Dr Alastair L. Parkes, Evotec Ltd, UK
15:25 – 15:45

Combining Raman spectroscopy, Nanotechnology and ML/AI for instant bacterial typing
Vincent Laban; Nostics, The Netherlands

Keynote lecture

15:45 – 16:15

Harnessing deep learning and synthetic biology to fight bacterial pathogens
Prof James J. Collins; Broad Institute of MIT & Harvard, The Wyss Institute (USA)

>> Coffee Break

Forum Discussion ‘Data Tech to curb AMR: Conclusions, Recommendations and Next Steps’
Moderator: Pieter Jeekel; Dutch AI Coalition
16:30 – 16:50 Conclusions following from the presentations at ADTCA 2021
16:50 – 17:10 Recommendations with respect to the use of Data Tech to curb AMR
17:10 – 17:25 Next steps to pave the road towards successful application of Data Tech to curb AMR

17:25 – 17:30 Closure and invitation to join Policy Paper Writing Team
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