Abstract: This disclosure describes frameworks and techniques directed to incorporating user input into the analysis and verification of models extracted from a database. The database can include an online database, such as clinicaltrials.gov administered by the United States National Institutes of Health. This disclosure describes implementations that utilize models derived from clinical study data extracted from a database and analyzes the models. The analysis of the models can be used to verify the results of the clinical studies from which the models were derived. Additionally, the analysis of the models can identify a combination of models that can be used to predict health outcomes of one or more biological conditions for one or more populations. User input can be utilized during the validation and optimization processes to improve the accuracy of the model output.

Abstract: This disclosure describes frameworks and techniques directed to the analysis and verification of models extracted from a database. In some cases, the database can include an online database, such as clinicaltrials.gov administered by the United States National Institutes of Health. In particular, this disclosure describes implementations that utilize models derived from clinical trial data extracted from a database and analyzes the models. The analysis of the models can be used to verify the results of the clinical trials from which the models were derived. Additionally, the analysis of the models can identify a combination of models that can be used to predict health outcomes of one or more biological conditions for one or more populations.

Abstract: A method wherein reference disease models predict progression of disease within given populations, utilizing publically available clinical data and risk equations, to give a birds-eye view of clinical trials by allowing multiple trials to be systematically compared simultaneously via parallel processing/High Performance Computing which allows competition among alternative equations/hypothesis combinations; cross validation; and, then ranks results according to fitness via a fitness engine.

Abstract: This disclosure describes frameworks and techniques directed to the analysis and verification of models extracted from a database. In some cases, the database can include an online database, such as clinicaltrials.gov administered by the United States National Institutes of Health. In particular, this disclosure describes implementations that utilize models derived from clinical trial data extracted from a database and analyzes the models. The analysis of the models can be used to verify the results of the clinical trials from which the models were derived. Additionally, the analysis of the models can identify a combination of models that can be used to predict health outcomes of one or more biological conditions for one or more populations.

Abstract: A method wherein reference disease models predict progression of disease within given populations, utilizing publically available clinical data and risk equations, to give a birds-eye view of clinical trials by allowing multiple trials to be systematically compared simultaneously via parallel processing/High Performance Computing which allows competition among alternative equations/hypothesis combinations; cross validation; and, then ranks results according to fitness via a fitness engine.

Abstract: The subject methods and apparatus allow the buyer of an automobile to configure and design a personalized interior space prior to purchasing the automobile. The buyer selects modular interior components from a library of choices provided by the manufacturer, and designs his/her custom automobile by using an interactive design domain system that allows realistic visualization of the developing interior with the incorporation of the buyer's anthropometric information. The method and apparatus guarantee conformance to applicable safety, geometric and functional constraints through the application of a rules-database. The produced automobile will fit exactly the customer's taste, physical dimensions, and personal requirements. The apparatus includes a computer that hosts a decision-support and feedback system, a database of safety, geometric and functional rules, and a database of interior components.

Abstract: A machine vision inspection system. The system includes a plurality of cells adjustably interconnected, and a plurality of vision elements. Each vision element can be adjustably supported within one of the cells. The cells and the vision elements can be selectively configured to define a vision arrangement capable of high-resolution inspection of a part.