Clinical Manifestations.

Background: Early detection and personalized care for Alzheimer's Disease (AD) mitigate the devastating consequences for millions of people around the globe. In the current scenario, there is a lack of user-friendly AI applications for predicting and understanding the progression of AD. The application should address the critical need for a predictive analytics tool that offers timely and transparent insights by utilizing the patient data.

SEAMHCRD deterministic compartmental model based on clinical stages of infection for COVID-19 pandemic in Sultanate of Oman.

The present novel coronavirus (COVID-19) infection has engendered a worldwide crisis on an enormous scale within a very short period. The effective solution for this pandemic is to recognize the nature and spread of the disease so that appropriate policies can be framed. Mathematical modelling is always at the forefront to understand and provide an adequate description of the transmission of any disease.