A new platform that measures the body's immune-protein response, coupled with machine learning, can accurately distinguish between bacterial and viral infections within minutes – an effective tool in the fight against AMR. When a patient presents with fever, in many cases, the question comes down to whether it is a bacterial or viral infection, and if to treat, or not to treat, with antibiotics. Making this diagnosis can be challenging as bacterial and viral infections are frequently clinically indistinguishable. As a result, the disease causing pathogen is not clearly identified in as many as two out of three patients with acute infection, even when applying cutting edge microbiological tools.1–3 A complementary diagnostic paradigm has emerged in recent years that overcomes the limitations of direct pathogen detection, namely harnessing the body's immune-response to infection.