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)
13:00
Online video
Optional
13:30
Welcome
Dr Phil Packer; Innovate UK and Chairperson
13:35
AMR: the UK taking the lead to curb this global health threat
Presenter Innovate UK
14:00
The national AMR landscape in the UK
Presenter TBC
14:15
The rapidly growing data tech arena in the UK
Presenter TBC
14:30
The ten commandments of data technologies to curb AMR
Dr Elita Jaunekaite; Imperial College London, London, UK
14:45
Developing new antimicrobials against MDR
pathogens using a AI drug discovery platform
Dr Dermot Tierney; 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
Applying data technologies to combat AMR
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, St Albans, UK
16:15
TBC
TBC
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, others TBC
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)
13:00
Online video
Optional
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
Data Technology for Antimicrobial Stewardship in a tertiary care hospital, South India
Dr Sumana Mahadevaiah; JSS Medical College, Mysore, 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
Dr Chun Wong; Asolva, Pasadena, CA, USA
15:30
Revolutionizing infectious disease diagnosis and treatment with genomic sequencing and machine learning to solve antibiotic resistance
Dr Jason Wittenbach; DayZeroDiagnostics, Boston, MA, USA
15:45
An Antimicrobial Resistance Identity and Act Application: Technological Innovation
Dr Nathan Mugenyi; Mbarara University of Science and Technology, Kampala, Uganda
16:00
Driving Diagnostic Design through Surveillance of Drug-resistant Uropathogens
Dr Tara deBoer; BioAmp Diagnostics, San Carlos, CA, USA
16:15
Cloud-based digital prescription and real-time prescribing intelligence promoting rational use of antibiotics
Dr Gwamaka Mwasakifwa, Vortex Health Pty Ltd, 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
Dr Isao Miyatsuka, CarbGeM Inc, Tokyo, Japan
17:00
Round table discussion ‘Data security and AMR surveillance’
Round table led by Dr Tania Dottorini
17:30
Closure
Dr Maarten van Dongen; AMR Insights, Amsterdam, The Netherlands
