PROGRAM

Program 20 June

NB All times in Central European Summer Time (CEST)

13:30
Welcome
Dr Maarten van Dongen, AMR Insights, The Netherlands
13:35
Keynote Challenges and solutions to using data technologies to curb AMR
Dr Abdullah Kahraman, Professor of Data Science in Life Sciences, School of Life Sciences Institute for Chemistry and Bioanalytics, Basel, Switzerland
Data Tech for a better prevention of Infectious Diseases and AMR
14:00
Role of Geographic Information System Mapping Technology in AMR Surveillance
Dr Chetan Sharma MPH, Surveillance Medical Officer at World Health Organization, New Delhi, India
14:20
Using E-health and machine learning for data generation, analysis and use for AMR Surveillance in Nepal
Rakesh Panthi, FHI 360, Nepal
14:40
Mathematical modelling and data analysis of routine surveillance hospital data to tackle AMR
Dr Gwen Knight, London School of Hygiene and Tropical Medicine, London, UK
Data Tech for improved Antimicrobials Stewardship
15:00
Artificial intelligence based clinical decision support for antibiotic stewardship
Dr William Bolton Imperial College London, UK
15:20
AMS prompts to reduce extended spectrum antibiotics for CAP and UTI in the first 3 days of hospitalization
Prof Ed Septimus; Department of Population Medicine, Harvard Medical School USA
15:40
Multi-country data collection and retrospective analysis in of bacterial infections and AMS during the COVID-19 pandemic: challenges and lessons learned
Dr Paula Valle, La Paz University Hospital, Madrid, Spain
Data Tech for improved Microbial Diagnostics (ID and AST)
16:00
Machine Learning for a novel rapid Bioelectrical Antimicrobial Susceptibility Test (ML-BeAST)_
Dr Magdalena Karlikowska, CEO, Cytecom, Coventry, UK
16:20
Predictive AST on real-world data: Keynome gAST in a clinical setting
Dr Jason Wittenbach, Director, Data Science, Day Zero Diagnostics, Boston, MA, USA
16:40
Using predictive tests to curb AMR
Dr Surbhi Malhotra, University of Antwerp, Belgium
17:00
Computationally-Aided Peptide Modalities for Rapid Bacterial Biosensing: A Strategy to Contain AMR
Dr Mehmoona Azmat, Shanghai Jiaotong University, Shanghai, China
17:20
Wrap up and Closure

Program 21 June 09:50 – 12:00 CEST

International online Matchmaking Program

NB All times in Central European Summer Time (CEST)

09:50
Welcome
10:00
Round 1 online matchmaking sessions
10:20
Round 2 online matchmaking sessions
10:40
Round 3 online matchmaking sessions
11:00
Round 4 online matchmaking sessions
11:20
Round 5 online matchmaking sessions
11:40
Round 6 online matchmaking sessions
12:00
Closure matchmaking program

Introduction ESKAPE EXPLORE 21 June, 11:30 – 12:00 CEST

11:30
ESKAPE pathogens & interactive dashboard ESKAPE EXPLORE
Prof Jayaseelan Murugaiyan, SRM University, Dr Krishna Kumar, Nitte University, Dr Prithvisagar KS, Nitte University, India

Program 21 June 13:30 – 17:30 CEST

NB All times in Central European Summer Time (CEST)

13:30
Welcome
Dr Maarten van Dongen; AMR Insights, The Netherlands
AMR patient story and The Global Antibiotic Resistance Foundation
Dr Marcello van Rossum, TGAR, Finland
Data Technologies for improved development of novel Antimicrobial therapies
13:40
Identification of Important Scaffolds for Antibiotic Activity using a Deep Learning Model_
Dr Abdulmujeeb Onawole, University of Queensland, St Lucia QLD, Australia
14:00
AlphaFOLD and its protein structure database in the R&D of novel antimicrobials and vaccines
Dr Amber Hilton, Google, Healthtech and Biotech Customer Engineer, UK
14:20
Building flexible, custom phage and strain tracking software in 2024 using AI and LLM-centric tools
Dr Jan Zheng, Phage Directory, USA
14:40
Computational Modelling to Identify the Best Starting Points for Antimicrobial Development, Stop the Guesswork!
Ed Siegwart, Director Microbiology, Oppilotech, UK
Data Technologies for improved reduction of AMR in the Environment
15:00
Surveillance data management on AMR in the environment from existing literature
Dr Ananda Tiwari, University of Helsinki, Department of Food hygiene and Environmental Health, Finland
Data Technologies for improved Surveillance of AMR
15:20 (c)
Novel Artificial Intelligence developments in AMR
Dr Lucia Pagani, Director of Data Science , BioAster, Lyon, France
15:40
How Automation Can Transform Critical Public Health Monitoring in LMICs
Pallav Parajulee, CEO, Quickfox Consulting, Nepal
16:00
Applied Platform Technologies for AMR Surveillance
Dr John Farrow, eSHIFT Partner Network, Geneva, Switzerland
16:20
IHMA and its sophisticated, global use of data technologies to curb AMR
Dr Darcie Carpenter, Director Business Development IHMA, Schaumburg, IL, USA
16:40
FightAMR project to develop the first EU-Africa AI powered surveillance solution
Prof Tania Dottorini, Professor of Bioinformatics, University of Nottingham, UK
Round Table discussion led by Dr Catrin Moore, St. George’s, University of London, UK
17:00
Discussion items data differences, lack of harmonisation and data sharing
Dr Catrin Moore, St George’s University of London – Dr Patricia Bradford, AMR Register / Vivli – Dr Ghada Zoubiane AMR policy / ICARS, Tom Ashfield, Healthcare Strategy / BSAC
17:30
Closure
Dr Maarten van Dongen; AMR Insights, Amsterdam, The Netherlands

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