A new AI method developed by Finnish researchers now provides answers about treatment effectiveness. Using modelling, the method makes it possible to compare different treatment alternatives and to identify patients who will benefit from treatment.

By analyzing carbon dioxide in the breath, an algorithm could help determine how to treat patients.

This predictive model could guide clinicians in deciding when to give potentially life-saving drugs to patients being treated for sepsis in the emergency room.

A single bacterial cell on its own is vulnerable to attack and like many living things they can benefit from safety in numbers. But bacteria take communal living to a whole new level, forming veritable civilizations - the bacterial biofilm.

As part of the host-pathogen arms race, viruses are continually evolving to evade the host immune response, be it from previous infection or immunity acquired through vaccination. Here we take a look at the processes of antigenic drift and antigenic shift.

Healthcare interoperability remains an intractable problem; both healthcare providers and patients feel unease about limited access to medical data, which results in lower care quality and poor patient engagement. Although daunting, these challenges aren’t insurmountable. In this feature, we’ll explore what has been and what could be done to foster the creation of an interoperable infrastructure.