Abstract: Teeth are screened for periodontal disease using digitized images manipulated and annotated on a processor. A digitized radiographic image of a tooth shows locations of a bone boundary and a cemento-enamel junction (CEJ) of the tooth. The digitized radiographic image is marked on the processor with a location on the bone boundary and with a pair of CEJ points at opposite ends of the CEJ visible in the radiograph. A ratio between (a) a distance between the bone boundary location and the adjacent CEJ point as numerator and (b) a distance between the CEJ points as denominator is calculated on the processor and compared with a threshold ratio-value for a corresponding tooth from a database accessible by the processor. A calculated ratio-value which is greater than the database threshold ratio-value is indicative of periodontal disease in the tooth. The probability of the correct diagnostic decision is determined by the relative magnitude of the calculated ratio-value and the threshold ratio-value.

Abstract: A method is performed on a processor for detecting duplication anomalies in a set of patient dental insurance records submitted as part of a dental insurance claim. At least one hash code is generated for at least some of the patient dental insurance record documents. A Hamming Distance is calculated by comparing the hash code(s) of recently submitted patient dental insurance record documents against a database which includes hash codes generated from previous dental insurance claims. Those dental insurance forms are flagged for further human review if the calculated Hamming Distance between the compared hash codes is less than a threshold amount.

Abstract: Teeth are screened for periodontal disease using digitized images manipulated and annotated on a processor. A digitized radiographic image of a tooth shows locations of a bone boundary and a cemento-enamel junction (CEJ) of the tooth. The digitized radiographic image is marked on the processor with a location on the bone boundary and with a pair of CEJ points at opposite ends of the CEJ visible in the radiograph. A ratio between (a) a distance between the bone boundary location and the adjacent CEJ point as numerator and (b) a distance between the CEJ points as denominator is calculated on the processor and compared with a threshold ratio-value for a corresponding tooth from a database accessible by the processor. A calculated ratio-value which is greater than the database threshold ratio-value is indicative of periodontal disease in the tooth. The probability of the correct diagnostic decision is determined by the relative magnitude of the calculated ratio-value and the threshold ratio-value.

Abstract: A catalyst development engine (CDE) provides a rapid approach to the rational development of scalable heterogeneous catalysts and of high-performance solid materials. The CDE includes three main components: the testing cycle, the knowledge cycle, and the knowledge repository or database. The knowledge cycle generates working hypotheses relating performance to key catalyst properties via machine learning methods, computation chemistry and micro-kinetic modeling. Such an approach accelerates development and scale-up of new materials without the impediments introduced by conventional combinatorial approaches based on randomly selected materials.

Abstract: A method and system for the development of materials includes a high-throughput data-generation cycle, a knowledge-generation cycle, and a knowledge repository or database. The data-generation cycle generates high-quality data for the virtual and experimental evaluation of new catalytic materials. The knowledge-generation cycle generates working hypotheses, relating performance to catalyst properties, from analysis and modeling of experimental and virtual data and data from literature, from correlations generated from experimental, theoretical, and/or modeling findings, and optionally from computational chemistry modeling investigations, in order to identify better materials.