Disease variants, their severity and frequency, even how the diseases express themselves in different population groups, are difficult medical and statistical challenges. The disease data our institutions currently have is too small a dataset to draw statistically significant conclusions.

Kos innovation enables continuous learning over time and so results in a more and more reliable classification of symptom patterns, both in an individual patient and across patient populations. Then in-service learning and ML algorithms allow Kos to optimize and so guarantee continuously improving classification.

Disease characteristics and evolution, including disease variants and their severity and frequency, can be better understood for the individual patient and across patient populations.

Experts, using statistical analysis to understand the characteristics and evolution of disease that are interested in more information can contact Kos by navigating to the Contact Us page of this site.