Vivli is pleased to announce the awardees of the Vivli Antimicrobial Resistance (AMR) Surveillance Open Data Re-Use Data Challenge.
The Vivli AMR Surveillance Open Data Re-Use Data Challenge, funded by Wellcome, was launched in April 2023, as a catalyst for innovation and support for the inventive reutilization of the wealth of surveillance data available within the AMR Register.
A total of 56 teams from 28 different countries participated in the AMR Data Challenge. This event served as a unique platform for multidisciplinary teams to leverage high-quality industry AMR surveillance data, proposing groundbreaking advancements and tools for use in AMR surveillance. The Challenge culminated in the recognition of six outstanding winners for the AMR Surveillance Open Data Re-Use Data Challenge, selected by a distinguished judging panel.
Vivli would like to thank everyone who took part. The submissions displayed an amazing array of innovative ideas, and dedication to helping solve the AMR crisis. Learn more about 2023’s data challenge here.
Award Ceremony
Rebecca Li congratulates Grand Prize winner Dr. Fredrick Mutisya
We’re thrilled to honor the recipients of the 2023 Vivli Antimicrobial Resistance Surveillance Open Data Re-Use Data Challenge, generously sponsored by Wellcome. At a special gathering during ESCMID 2024 in Barcelona, teams presented their solutions, showcasing the transformative potential of data re-use in addressing global health challenges like antimicrobial resistance.
“At Vivli, our dedication to healthcare innovation is unwavering,” said Rebecca Li, Vivli CEO. “The innovations unveiled at the 2023 Vivli AMR Surveillance Data Challenge underscore the vital role of collaboration and data-driven strategies in the fight against antimicrobial resistance. Together, we’re shaping the future of global health.
As a scientist, it was gratifying to meet with the winners of the challenge and hear more about their innovative solutions and findings from their analysis of the pharmaceutical surveillance data. Our heartfelt gratitude goes to Wellcome for their invaluable support, and to our data contributors and all participants who played a pivotal role in this challenge.”
The Vivli AMR Surveillance Open Data Re-Use Data Challenge, funded by Wellcome was designed to foster awareness and incentivize the repurposing of surveillance data available in the AMR Register. Attracting 56 teams from 28 nations, this event served as a catalyst for cross-disciplinary collaboration and empowered participants to leverage the wealth of high-quality AMR surveillance data generously contributed by GSK, Johnson & Johnson, Paratek, Pfizer, Shionogi, and Venatorx.
All Vivli AMR Surveillance Open Data Re-Use Data Challenge awardees, company representatives and Wellcome
Fredrick Mutisya receiving the Grand Prize award from Janet Midega, Wellcome
Shraddha Karve receiving the Innovation award from Janet Midega, Wellcome
Aleksandra Kovacevic receiving the Impact award from Janet Midega, Wellcome
Jessika Hu receiving the Impact award from Janet Midega, Wellcome
Joseph Harwell receiving the Impact award from Janet Midega, Wellcome
Quentin Leclerc receiving the Impact award from Janet Midega, Wellcome
Lulla Opatowski receiving the Impact award from Janet Midega, Wellcome
Robert Beardmore & Pablo Catalan receiving the Innovation award from Janet Midega, Wellcome
Jacob Wildfire receiving the Runner-Up Innovation award from Janet Midega, Wellcome
Gwen Knight receiving the Runner-Up Innovation award from Janet Midega, Wellcome
Alastair Clements receiving the Runner-Up Innovation award from Janet Midega, Wellcome
Data Challenge Awardees networking at Awardee Gathering
Grand Prize Winners
Team 8995, led by Fredrick Mutisya of Ministry of Health, Narok County, Kenya, with Rachael Kanguha, Chuka County Referral Hospital, Kenya
Title: “AntiMicro.ai: an artificial intelligence web app that helps predict antibacterial/antifungal susceptibility and builds custom machine learning models”
Team 9057, led by Quentin Leclerc of Institut Pasteur, France with Aleksandra Kovacevic (Institut Pasteur), Eve Rahbe (Institut Pasteur) and Lulla Opatowski (Institut Pasteur)
Title: “Stronger together? Potential and limitations of combining industry datasets to fill in global AMR surveillance gaps.”
Team 9059, led by Yanhong Jessika Hu of Murdoch Children’s Research Institute, Australia with Joseph Harwell (The Warren Alpert Medical School of Brown University, USA), Penelope Bryant (Murdoch Children’s Research Institute), Hong Qiu (The Chinese University of Hong Kong)
Title: “Global Geographic Patterns and Trends of WHO Priority Pathogens and AWaRe Antibiotic Resistances among Children: amrinkids.com”
Team 8923, led by Robert Beardmore of University of Exeter, UK, with Emily Wood (University of Exeter), Pablo Catalan (Universidad Carlos III, Spain) and Jon Iredell (Westmead Hospital/University of Sydney, Australia)
Title: “Data Challenge – Are antibiotic breakpoints globally consistent, does it matter if not?”
Team 9049, led by Shraddha Karve of Ashoka University, India, with Rintu Kutum (Ashoka University), Devojit Sarma (ICMR,NIREH, India), Vasundhara Karthikeyan (Ashoka University) and Ragul N (Ashoka University)
Title: “Novel approach to antibiogram analysis: looking at the composite resistance phenotype”
Team 9056, led by Jacob Wildfire of London School of Hygiene and Tropical Medicine, UK with Gwen Knight (LSHTM), Naomi Waterlow (LSHTM), Naomi Fuller (LSHTM) and Alastair Clements (LSHTM)
Title: “Analysis of variations in minimum inhibitory concentration distributions by patient groups”
Team 8943, led by Muditha Hapudeniya of Ministry of Health, Sri Lanka, with Darshana Wickramasinghe (Ministry of Health, Sri Lanka), Roshan Priyantha Madalagama Appuhamilage (Veterinary Research Institute, SriLanka), Poorna Weerarathna Vidanage (University of Moratuwa, Sri Lanka) and Sardha Lasanthi Warnasuriya Muthugalaarachchige (Department of Census and Statistics, Sri Lanka)
Title: “Application of statistical and machine learning methods to predict antimicrobial susceptibility to blood borne microorganisms to support administrative and policy level decision making”
Team 8952, led by Stephen Obol Opiyo (Patira Data Science, USA), with Nathan Mugenyi (Mbarara University of Science and Technology, Uganda), Stella Maris Nanyonga (University of Oxford, UK), Racheal Nalunkuma (Mengo Hospital, Uganda) and Andrew Marvin Kanyike (Mengo Hospital)
Title: “Empowering Global AMR Research Community: Interactive GIS Dashboards for AMR Data Analysis and Informed Decision-Making”
Team 8936 led by Rik Oldenkamp of Vrije Universiteit Amsterdam, Netherlands, with Constance Schultsz (University of Amsterdam), Sneha Kotian (University of Amsterdam) and Ernst Schäfer (University of Amsterdam)
Title: “Spatiotemporal modelling of antimicrobial resistance in key gram-negative pathogens: Deciphering global patterns using indirect predictors”
Team 9058 led by Tochukwu Agboeze of University of Nigeria, Nigeria with Oluwasegun Isaac Daramola (university if Ibadan, Nigeria), Ayobami Akomolafe (university of Ibadan), Roqeeb Adedeji (University of Ibadan) and Julius Markwei (University of Cape Coast, Ghana)
Title: “Predictive Analysis of AMR Trends for Healthcare Decision Making and Forecasting (PATHFINDER)”
