Abstract: Methods are provided for non-invasively determining the expression of genes of interest by inference and the use thereof in cancer classification and stratification for treatment. The methods are based on an integrated analytic method, where a single biomarker is derived from promoter fragment entropy (PFE) and analysis of nucleosome depleted regions (NDR) depth. In some embodiments the methods use only noninvasive blood draws, and robustly identify which patients will achieve durable clinical benefit from immune checkpoint inhibition, what the cancer subtype classification is and/or what the tumor burden is. In an embodiment, the methods further comprise selecting a treatment regimen for the individual based on the analysis.

Abstract: Methods of treatment based on a prognosis as determined utilizing a Bayesian framework are provided. Clinical data is utilized within a Bayesian framework to obtain a prognosis of a medical disorder. A prognosis can be updated utilizing a Bayesian framework when subsequent clinical data is acquired, such as clinical data acquired during a treatment or clinical monitoring.

Abstract: A system and method are described for managing a personal Internet of objects and information, and applying the information to enhance the quality of daily activities such as situations where personal medical information is required but otherwise not available. The device can be used for performing various functions, such as re-ordering medication, keeping track of valuable objects, locating missing objects, performing authenticated financial transactions, contacting service providers to report failures and scheduling appointments. An information gathering module collects and organizes data on objects in partially pre-configured templates on a Personal Internet Card (PIC) embedded in an electronic device. Templates determine how that data is applied in the real world, and keep track of usage. Data collection by the PIC can be through wireless means or hardwire communication.