Available Technologies

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292 available technologies

FOXA1 as a Biomarker for Urinary Bladder Cancer

In 2009 over 70,000 American were diagnosed with urinary bladder cancer, and in that same year over 14,000 Americans died of bladder cancer. Low funding for bladder cancer helps explain the slow progress in both the identification of biomarkers and the development of new treatments for metastatic bladder cancer. Nonetheless, novel diagnostic biomarkers are needed to aid in the early identification of patients with bladder cancer, and also to determine which patients are likely to progress. Vanderbilt researchers have identified such a biomarker whose expression is reduced and lost during progression of bladder cancer.

PARS: Patient Advocate and Reporting System

Evaluation and Intervention services are supported by the Patient Advocates Reporting System (PARS). Vanderbilt University Medical Center created the Center for Patient & Professional Advocacy (CPPA) in early 2003 under the direction of Gerald B. Hickson, MD, Associate Dean for Clinical Affairs. Mission: The CPPA's mission is to promote patient and professional satisfaction with healthcare experiences and restrain escalating costs associated with patient dissatisfaction. We pursue our mission through the CPPA's inter-related functions of research, teaching, and intervention services.

Core Ordering and Reporting Enterprise System (CORES™)

CORES™ is a highly configurable, enterprise-wide software solution for research institutions. CORES™ provides full central oversight while also allowing for flexible but consistent decentralized billing and usage functionality for core facilities. This software allows core managers and customers to enter orders using a variety of methods. The software also allows customers in product cores to scan their items at a self-service checkout terminal that provides full real-time inventory management. Orders are accumulated into electronic invoices and e-mailed to customers each month. An electronic upload file containing order information is also created for the finance department. Vanderbilt has approximately 90 internal cores using this software. In addition, the software is used by several other institutions to whom the software has been licensed.

Patient Safety Screening Tool (PSST) for Sepsis

The Patient Safety Screening Tool (PSST) for Sepsis solution is a tool to assist with the early detection of Sepsis and management of the administration of bundle packages as defined by the Institute for Healthcare Improvement (IHI). This web based application relies on integration with bedside medical equipment (BME) data as well as Lab and Registration data so that clinical workflow items can be automated in the fight against Sepsis.

Play Nicely -- Violence Prevention Program for Pre-School Children

Play Nicely is a video series developed by a professor of pediatrics for parents of and for teachers and day care providers who are responsible for pre-school age children. The video series offers advice on how to deal with anti-social and violent behavior among pre-school children and the best methods for modifying such behavior.

Method for Modeling Signal Transduction in Cells

This technology relates to a mathematical model of a biological process having a complex spatial geometry. The methods of this invention can be employed to model many biological processes, such as cell signaling in general and vision in particular. These models can also be used to model the pathology underlying diseases characterized by disrupted signaling pathways, and to identify target proteins at an appropriate site in a signal transduction network such that modulation of the target proteins elicits therapeutic effects. Methods of modeling diffusion processes, as well as machine-readable products embodying the methods are also disclosed. Issued US Patent 7113898.

Sampling Algorithm for the Reproduction of Complex Digital Signals

This technology utilizes a set of mathematical algorithms that permit fast and robust reconstruction of signals from digital samples without the need to resort to band limitations or uniform sampling. This allows a signal to be digitized in a more sophisticated way, sampling it at frequent intervals when it is rapidly changing, and less often when it is changing slowly. Band limits imposed by uniform sampling are eliminated.

ProcoderDV

Procoder for Digital Video (ProcoderDV) was developed at the John F. Kennedy Center at Vanderbilt University to facilitate the collection of different forms of observational data from digital media files. Media files can be any files that contain events of interest on digital video or audio files. Data files can be of two general types: event files or transcription files. Files can be exported into MOOSES (Tapp & Wehby, 1995) format or SALT (Miller & Chapman, 1993) format or can be read directly by many popular statistical or spreadsheet programs. A code file can be used in conjunction with ProcoderDV to guide the coder inmarking events for later quantification and analysis.

Fault-Adaptive Control Technology Toolsuite (FACT)

The FACT toolsuite assists engineers working with complex aerospace systems to design and implement control systems that can maintain control even when the controlled system "fails." The tool suite uses a model-based approach where the designer creates design models of the plant and its associated control system, and the tools automatically generate code that implements fault-detection, isolation and control reconfiguration functions.

INTMAN Interval Manager for Windows and Pocket PC

Interval Manager (INTMAN) is a computer-assisted alternative to traditional paper and pencil methods for collecting fixed interval time sampled observational data. The INTMAN data collection software runs on Pocket PC hand held computers and includes a desktop application for Microsoft Windows that is used for data analysis. Standard analysis options include modified frequencies, percent of intervals, conditional probabilities, and Kappa agreement matrices and values.

Multi-Option Observation System for Experimental Studies (MOOSES)

MOOSES (Multi-Option Observation System for Experimental Studies). This software system makes it easy to collect and analyze data about any type of real time events. Data can be collected using your PC, a laptop, A handheld PC, or a PocketPC and later analyzed on several dimensions. Data collected from digital audio and video files using ProcoderDV can also be analyzed using MOOSES. This type of data can help you make accurate assessment of what is happening in the real time system you are observing. Several analysis options are provided and described at the website.

Multiple Simultaneous Acoustic Source Localization in Multipath Environments

Robust and accurate sensor fusion algorithm using time of arrival data for acoustic event localization. The fusion algorithm compensates for incorrect measurements including multipath effects. The algorithm is capable of localizing multiple simultaneous sources with a high degree of accuracy.

A Sensor-Based Online Diagnostic Approach for Physical Systems

This technology addresses the problem of designing and implementing online monitoring and diagnosis systems for complex hybrid systems by focusing on faults that occur in plant components and contains models where faults are represented by changes in system parameters. Hybrid systems are common in the avionics, spacecraft, automotive and robotics domains where behavior is characterized by continuous plant dynamics and discrete supervisory control. These hybrid systems require a tool that analyzes and seamlessly integrates multiple system models on a discrete and continuous basis. As a result, tasks like monitoring, fault diagnosis and control require model selection and switching to be performed online as system behavior evolves.

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