PROGRAM 22 & 23 JUNE
Program 22 June; all presenters confirmed
The program is entirely focused on the UK’s contribution to data technology and combating bacterial resistance. The program is conducted entirely by Innovate UK.
NB All times in Central European Summer Time (CEST)
13:30
Welcome
Dr Phil Packer; Innovate UK and Chairperson
13:35
UK Global AMR Innovation fund (GAMRIF): Past present and future
Louise Norton-Smith; International AMR Strategy and Delivery at UK Department of Health, UK
14:00
The national AMR landscape in the UK
Connie Longmate; Department of Health and Social Care, UK
14:15
Health Intelligence: DNA hyper-personalised analysis and Health Data management
Dr Joanna Wiecek; CircaGene, London, UK
14:30
Ten simple rules for the sharing of bacterial genotype-phenotype data on antimicrobial resistance
Dr Elita Jauneikaite; Imperial College London, London, UK
14:45
Developing new antimicrobials against MDR
pathogens using an AI drug discovery platform
Dr Ben Thomas; Amply Discovery, Belfast, UK
15:00
Knowledge support in primary care during consultation for antimicrobials prescribing
Prof Tjeerd van Staa; University of Manchester, Manchester, UK
15:15
Systems Biology and Machine Learning to model biological processes to identify viable drug targets in bacteria
Dr John George; Oppilotech, London, UK
15:30
Consolidating, curating and filling the gaps in AMR data
Dr Leonid Chindelevitch; Imperial College London, London, UK
15:45
Deep-fake AL algorithm to search for new antimicrobials
Dr Mathew Upton; Amprologix, Plymouth, UK
16:00
Data technologies to improve livestock disease and welfare
Dr Mandy Nevel; Agriculture and Horticulture Development Board, Coventry, UK
16:15
The AI-based AMR test
Dr Aleksander Zagajewski; Kavli Institute for Nanoscience Discovery, University of Oxford, UK
16:30
Using evidence from the GRAM project to curb antibiotic misuse
Dr Catrin Moore; St Georges University London, UK
17:00
Round table discussion ‘Ethics of data and data sharing to combat AMR’
Dr Catrin Moore, Dr Esmita Charani, Dr Tess Johnson; Dr Leonid Chindelevitch, Dr B.Charles Winiarski
17:30
Closure
Dr Phil Packer; Innovate UK, London, UK
Program 23 June; all presenters confirmed
The program is entirely focused on the contribution of countries outside the UK in data technology and combating bacterial resistance. The program is implemented entirely by AMR Insights.
NB All times in Central European Summer Time (CEST)
13:30
Welcome
Dr Maarten van Dongen; AMR Insights, Amsterdam, The Netherlands
13:35
Data technologies to combat AMR: how AMR Insights adds
Dr Maarten van Dongen; AMR Insights, Amsterdam, The Netherlands
14:00
Bridging the gap in diagnosis & treatment of antimicrobial resistance (AMR)
Dr Senjuti Banerjee; AarogyaAI, New Delhi, Delhi, India
14:15
Advanced decision support and AI supporting the rational choice of empirical therapy
Dr Mads Lause Mogensen; Treat Systems, Aalborg, Denmark
14:30
Machine learning in analysis of complex mircoorganisms using mass spectrometry
Dr Luis Mancera; Clover Bioanalytical Software, Granada, Spain
14:45
Cloud-based machine learning algorithms to identify bacterial species with a portable, handheld reader
Dr Rochelle Niemeijer, Nostics, Amsterdam, The Netherlands
15:00
Global bio-informatics meta-analysis ESKAPE pathogens
Prof Jayaseelan Murugaiyan, SRM University, Andhra Pradesh, India & Dr Ballamoole Krishna Kumar; Nitte University, Karnataka India
15:15
Data technologies to real time intervene, track and record antibiotics use and resistance development in clinical care settings
Chun Wong; Asolva, Pasadena, CA, USA
15:30
Revolutionizing infection disease diagnosis with whole-genome sequencing and machine learning for genomic AST
Dr Jason Wittenbach; DayZeroDiagnostics, Boston, MA, USA
15:45
An Antimicrobial Resistance Identity and Act Application: Technological Innovation
Dr Nathan Mugenyi; Faculty of Medicine, Mbarara University of Science and Technology, Mbarara, Uganda
16:00
Leverage Clinical Research and Data to Drive AMR Diagnostic Design: Case Study – Urinary Tract Infections (UTI)
Dr Tara deBoer; BioAmp Diagnostics, San Carlos, CA, USA
16:15
Coding the Knowns and Decoding the Unknowns: Real-Time Augmented Prescribing Intelligence For Stewardship and Surveillance
Dr Gwamaka Mwasakifwa, CloudScriptTM, Sydney, Australia / Dar es Salaam, Tanzania
16:30
Development of novel bioinformatics, machine learning and AI solutions to diagnose infectious diseases in humans and animals
Dr Tania Dottorini; University of Nottingham, Nottingham, UK
16:45
AI-assisted application for estimating bacterial species in bacterial infections & Appropriate antibiotic selection support system BiTTE
Isao Miyatsuka, CarbGeM Inc, Tokyo, Japan
17:00
Round table discussion ‘Data security and AMR surveillance’
Dr Tania Dottorini, Isao Miyatsuka, Dr Gwamaka Mwasakifwa
17:30
Closure
Dr Maarten van Dongen; AMR Insights, Amsterdam, The Netherlands
