Novel analytical approaches for AMR

Phenotypic surveillance of AMR is a common practice throughout the world. However, the collected data is analysed in a few well-set traditional ways. One of the most common ways of understanding this data is tracking a resistance against a drug for a particular bug over time. This information can help clinicians treat the patients with the antibiotic that is most likely to be effective. Unfortunately, such an approach misses out on many other insights that one can obtain from this data. We are constantly looking for novel approaches to analyse the data using the latest computational approaches. We have also shown the widespread implications of some of these novel approaches previously. One of our solutions earned us an Innovation Award in the Global AMR Data challenge in the year 2023.