How This Startup Is Applying Machine Learning To Disease Diagnosis

With populations growing, health systems are quickly becoming overburdened, under-resourced and not equipped for the challenges they face in today's fast-paced world.

In the U.K., 24% of emergency admissions can be avoided through effective community care and case management solutions. And 58% of these are respiratory conditions alone, costing up to £165 billion. Delayed diagnosis can be both life-threatening and life-changing, but how can this be solved?

U.K.-based technology startup Feebris thinks it’s found the answer. The firm is using artificial intelligence algorithms for the precision detection of complex respiratory conditions in the field. It connects to existing medical sensors and can be used by non-doctor users to identify respiratory issues early, avoiding complications and hospitalizations.

The full Forbes article can be viewed at this link.