Data-driven dynamic treatment planning for chronic diseases

Endotype-driven treatment in chronic upper airway diseases

Rhinitis and rhinosinusitis are the two major clinical entities of chronic upper airway disease. Chronic rhinosinusitis (CRS) and allergic rhinitis (AR) affect respectively up to 10 and 30% of the total population, hence being associated with an important socio-economic burden. Different phenotypes of rhinitis and CRS have been described based on symptom severity and duration, atopy status, lev...

Dynamic Data Driven Simulation

This article presents dynamic data driven simulation as a new simulation paradigm where a simulation system is continually influenced by real time data for better analysis and prediction of a system under study. This is different from traditional simulations that are largely decoupled from real systems by making little usage of real time data. We present a framework of dynamic data driven simul...

Neuro-Dynamic Programming for Radiation Treatment Planning

Dynamic data-driven framework for reputation management

The landscape of security has been changed by the increase in online market places, and the rapid growth of mobile and wireless networks. Users are now exposed to greater risks as they interact anonymously in these domains. Despite the existing security paradigms, trust among users remains a problem. Reputation systems have now gained popularity because of their effectiveness in providing trust...

Methodology for Path Planning with Dynamic Data-Driven Flight Capability Estimation

This paper presents methodology to enable path planning for an unmanned aerial vehicle that uses dynamic data-driven flight capability estimation. The main contribution of the work is a general mathematical approach that leverages offline high-fidelity physics-based modeling together with onboard sensor measurements to achieve dynamic path planning. The mathematical framework, expressed as a Co...