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20170266 – An algorithm uses prognostic models based on electronic medical record (EMR) data to predict one-year mortality risk. The random forest model, which predicts the risk of death within a year of the last day of hospitalization, is remarkable as a broadly applicable prognostic model that does not focus on a specific disease. The model is derived from about 100,000 hospital discharges, is... Read More
20180076 – A web-based, consumer-facing mobile application helps health researchers identify patients’ strengths, needs and health challenges. The app is accessed through a browser but is enhanced to run on a mobile device. It is built on knowledge of consumer terminology and the Omaha System of standardized nursing language. Patients answer a series of questions from various categories to create a... Read More
20160109 – BridGE (Bridging Gene Sets with Epistasis) is an innovative computational method that explicitly searches for disease-specific genetic interactions between single nucleotide polymorphisms (SNPs) in Genome-wide Association Studies (GWAS) data. The algorithm searches for larger, non-random structures of SNP-SNP interactions, guided by established sets of genes belonging to characterized... Read More
20160049 – A new graphical user interface (GUI) guides users easily through the process of implementing Storn and Price’s differential evolution algorithm for optimization applications, such as in optimizing solution compositions for freezing media for a cell type. Not only does this software program customize the algorithm for optimizing solution compositions, but a user-friendly GUI prompts users... Read More
z05027 – An algorithm has been developed that can non-invasively determine the location of neural activity in the brain. Non-invasive measurements made by scalp EEG are processed to provide 3D localization within the brain that can be used for surgical planning and significantly reduce cost and potential risk in surgical treatment of epilepsy patients. This technique... Read More
z06179 – Surgical planning for epileptic patients includes understanding both the brain activation sequence and propagation of the electrical signals. An algorithm to identify the activation sequence and distinguish the primary epileptic sources from the secondary sources has been developed using EEG measurements obtained from noninvasive scalp recordings. The recorded measurements are used to... Read More
z06090 – Abnormal heart rhythms or cardiac arrhythmia such as ventricular tachycardia, atrial fibrillation or atrial flutter are common electrical activity anomalies of the heart. Effective? treatment relies on the ability to precisely locate these anomalies; the more site-specific the treatment, the better the clinical outcome. The heart electrical activity algorithm in this software creates... Read More
z01136 – Histology is the study of the structure and function of the cells, tissue and organs of the human anatomy as viewed through a microscope. The Histology Time software helps students learn anatomy and cell biology through a computer-based histology atlas of cells, tissues, and organs. The database contains more than 5,000 light microscope images organized into nineteen chapters covering... Read More
z01192 – The brain anatomy software package, NeuroTime®, helps students study neuroanatomy, learn the central nervous system structures and interpret brain MRI images (magnetic resonance imaging) in an interactive environment. The software includes high quality images of intact and dissected gross specimens of the central nervous system, whole brain sections and brain MRI images. Information is... Read More
20090011 – The Sarcoma miRNA Expression Database (S-MED) provides comprehensive information about microRNA expression patterns in sarcomas and other relevant cancer tissue types, helping the diagnosis, classification, prognosis, and treatment of malignant tumors. MicroRNAs (miRNAs), a class of small RNAs regulating expressed genes in human sarcomas, can assist in the development of cancer... Read More
z08194 – SALSA is a software program that automates quantitative analysis of spontaneous speech and language for use in assessing neuropsychological cognitive impairment caused by a variety of factors. SALSA speech assessment software analyzes spontaneous speech samples produced in response to several types of stimuli including picture descriptions, recall of a story, or a spontaneous... Read More
