23 June 2022 09:30 am – 05:30 pm CEST >> digitally delivered

The anticipated program for ADTCA 2022 (time indications in CEST):

09:30 – 10:00

  Antimicrobial resistance: Global threat and how Data Technologies help curbing AMR
Launch new video on global AMR awareness!
Dr Maarten B.M. van Dongen; AMR Insights, The Netherlands
10:00 – 10:30

  Applying data technologies to combat AMR: current status, challenges and opportunities on the way forward
Dr Leonid Chindelevitch; MRC Centre for Global Infectious Disease Analysis, Imperial College London, United Kingdom

I. Data Tech to Prevent Infectious Diseases
10:30 – 10:50

  Advanced decision support and AI supporting the rational choice of empirical therapy
Dr Mads Lause Mogensen; Treat Systems, DK

II. Data Tech to improve Antimicrobial Stewardship
10:50 – 11:10

  Knowledge support in primary care during consultation for antimicrobials prescribing
Prof Tjeerd van Staa; University of Manchester, UK
11:10 – 11:30

  Global bio-informatics meta-analysis ESKAPE pathogens
Prof Jayaseelan Murugaiyan; SRM University AP, Andhra Pradesh, India 
Dr. Ballamoole Krishna Kumar; Nitte University, Karnataka, India 
11:30 – 11:50
  Data Technology for Antimicrobial Stewardship in a tertiary care hospital, South India
Dr M N Sumana, Professor of Clinical Microbiology, JSS Hospital and Medical College, Mysore, India

11:50 – 12:10


SPEARHEAD: a risk prediction model powered by machine learning to fight AMR
Dr Angélie Pham (PharmD) – Innovation Office of the University of Basel, CH
Dr Julia Bielicki (MD) – the Children University Hospital of Basel (UKBB, CH) (TBC)

12:10 – 12:15


Conclusions and wrap up of the morning program
Dr Maarten B.M. van Dongen; AMR Insights, The Netherlands 

>> Lunch 

III. Data Tech to improve Microbial Diagnostics
13:00 – 13:30

  Data and AI in new gamified program to improve antibiotics prescription behaviour
Dr Gerard Mulder; MindGame, The Netherlands 
13:30 – 13:50

  Portable, handheld reader, with cloud-based machine learning algorithms to identify bacterial species
Mrs Eva Rennen; Nostics, NL
13:50 – 14:10

  Machine Learning in analysis of complex microorganisms using mass spectrometry
Dr Luis Mancera: Clover Bioanalytical Software, Granada, Spain

IV. Data Tech for Novel Antibiotics & Antimicrobial Strategies
14:10 – 14:30

  Utilising curated antibacterial data to guide medicinal chemistry and AI/ML assisted design
Dr Alastair L. Parkes, Evotec Ltd, UK
14:30 – 14:50

  AI as novel tool for exploring complex biomedical knowledge by relating interconnected entities which illuminate the discovery process and deliver research results
Kenneth Ashworth; Epistemic AI, USA

14:50 – 15:10


Data Technologies to realtime intervene, track and record antibiotics use and resistance development in clinical care settings
Chun Wong; Asolva CA, USA

15:10 – 15:30

  Assessing incidence of antibiotics resistance genes at polluted versus non-polluted sites using bioinformatics tools
Dr Anuradha Goswami; University of Alabama at Birmingham AL, USA
15:30 – 15:50

  Driving Diagnostic Design through Surveillance of Drug-Resistant Uropathogens
Dr Tara Deboer; BioAmp Diagnostics CA, USA
>> Short break

Keynote lecture

16:00 – 16:30

  The time for action is now: using evidence from the GRAM project to curb antibiotic misuse
Dr Catrin Moore; St George’s, University of London, UK

>> Coffee Break

Forum Discussion
16:45 – 17:15   Conclusions following from the presentations at ADTCA 2021
17:15 – 17:30 . Closure session 
What is going on with AMR?
Stay tuned with remarkable global AMR news and developments!