Accenture Global Services Gmbh

Perkinelmer Informatics, Inc.

Abhinav Tiwari

Sanjoy Paul

Samuel Campbell

Chad Millen

Stephen Menyhart

Harold Miller-Koren

Presented herein are systems and methods for merging and manipulating data from different sources of clinical trial data. Clinical trial data is collected using multiple different 'forms' and can be from either a single clinical trial or from multiple clinical trials. In certain embodiments, the systems and methods described herein are provided in the form of an intuitive graphical user interface (GUI) that enables a user to merge and manipulate data from two or more source tables of clinical trial data associated with one or more clinical studies to produce a custom merged table, without having to rely upon complex computer code.

Systems and methods employing merge technology for the clinical domain

Biometric authentication technology, in which biometric data is maintained for a group of people. The biometric data includes sorted similarity scores, where each of the sorted similarity scores is computed to represent similarity between a corresponding biometric image and a reference image. A biometric verification system accesses a biometric image of at least a portion of a person, accesses the reference image, and computes a similarity score that represents similarity between the accessed biometric image and the reference image. The biometric verification system searches the sorted similarity scores included in the biometric data using the computed similarity score and outputs a result based on the searching.

Biometric authentication technology

Biometric matching technology, in which a watch list is managed, multiple images of a potential suspect are accessed, and parallel pre-processing of the multiple images is controlled. Based on the pre-processing, an image of the potential suspect to use in matching against the watch list is determined and the determined image is used to search sorted biometric data included in the watch list. A subset of persons from the watch list is identified based on the search and parallel analysis of the determined image of the potential suspect against detailed biometric data associated with the subset of persons in the watch list is controlled. Based on the parallel analysis, it is determined whether the potential suspect matches a person in the watch list and a result is outputted based on the determination.

Growing community of inventors

Uttar Pradesh, India

Abhinav Tiwari