Ann: Breakthrough Performance in Paediatric Clinical Study, page-119

Hi all,

Just a little clinical exercise. Our algorithm can tell the presence of lower airway disease vs no airway disease to about 99% accuracy. You might say so what? Ok picture this, a child comes into a remote clinic in Africa or east Asia with a fever. The health worker (poorly trained local or under resourced NGO worker) has to decide is it pneumonia, malaria, gastro, other cause of fever (many and varied). With a couple of coughs they can rule out or in pneumonia and treat accordingly. The pneumonia gets treated or the other cause of fever gets looks for and treated. Remember the specificity of the current WHO criteria to diagnose pneumonia can be as low as 14% in some studies (that means it is right in only 14 out of 100 cases it thinks is pneumonia) where as ours is over 90%. Nearly 900k children die each year of pneumonia in the developing world despite the current WHO guidelines.

Now let's look at the developed world. The company has developed a method of detecting lower airway disease that is better than a stethoscope. It does not need the X-rays or other observations to diagnose. Think about what that means for Telehealth, remote medicine (our indigenous groups have a high prevalence, and subsequent mortality rate, for pneumonia) nurse, parental or pharmacist led diagnoses. Let's also think about what this will mean for the "grown ups" in nursing homes, hospitals and in monitoring the state of chronic respiratory conditions.

This is all just too damn exciting!!!

Cheers all

IMO of course!