Current otoscopes operate in a certain way which is insufficient and not ideal. The UK company's product offers a solution by doing something in a different way. Rather than looking into patients' ears at very close distance using conventional otoscopes, health professional use the company's otoscope to look inside patients' ears at a distance as he/she view ears through the phone screen while being away from the patient at “arms length”.

In many cases of machine learning applications data are represented by a small set of abnormal cases along with a large set of normal events. The patterns of these samples are analysed by experts in order to decide whether a given event is abnormal or normal. In simple cases experts are capable of describing a model for making reliable and accurate decisions. Ideal models allow users to make decisions with minimal losses caused by errors.

This UK SME, based in North Wales, specialises in the design and supply of reusable, antiviral cloth face coverings/snoods to a range of business to business (B2B) and business to consumer (B2C) customers. The product results from 10 years of research and development by a team of scientists and virologists.

Medical diagnostic companies can waste valuable time re-developing supporting IT for diagnostic software that could be better spent on the important diagnostic/scientific parts of the project. A UK company provides a backbone for such diagnostic software that will fit into a regulatory validation pathway to accelerate deployment of complete applications. The company save a significant amount of time for clients by allowing them to focus on the components that add commercial/clinical value, rather than the underlying “plumbing” that is largely similar for all applications.