PROGRAM

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

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

Welcome
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