Disease Progression Models

WORK 01

Patient Zero & Antibody Decay

Covid Susceptible-Infectious-Recovery (SIR) Model. The well-known disease progression has been applied in multiple infectious diseases. Learn about disease progression and antibody decay.

Parameters are embedded within the UI-dashboard. Analysts may specify a range for each parameter in the Markovian model , and in accordance to the sensitivity analysis output.

Covid-19 Vaccination & Antibody Decay

WORK 02

Acromegaly patients who develop the condition during adulthood do not experience an increase in height, unlike young patients. To ensure accurate clinical trials and study designs, utilizing a demo that allows for the fair manipulation of parameters can enhance the likelihood of success. The chances of these patients achieving full remission can be deduced from a UI.

Acromegaly UI Dashboard

At The Waterhouse, Keras360.io demonstrations, we have incorporated “noise” into the data to protect the confidentiality of the profiles or any empirical records while providing a user-friendly interface for you to experience. Data is never exposed or released to third parties.