Chapter-071 Indigenous Stents: Examining the Clinical Data on New Technologies

2015 ◽  
pp. 450-460
Author(s):  
Sreenivas Arramjraju ◽  
Hariram Vuppaladadhiam
Keyword(s):  
Clinical Data ◽  
New Technologies

PP136 How To Apply Health Technology Assessment To Large Scale e-Health Processes

2019 ◽  
Vol 35 (S1) ◽  
pp. 63-64
Author(s):  
Gro-Hilde Severinsen ◽  
Line Silsand ◽  
Anne Ekeland
Keyword(s):  
Health Technology Assessment ◽  
Information And Communication Technologies ◽  
Clinical Data ◽  
Technology Assessment ◽  
Large Scale ◽  
New Technologies ◽  
Health Technology ◽  
Added Value ◽  
Health Region ◽  
Wide Range

IntroductionThere are enormous expectations for e-health solutions to support high quality healthcare services, with accessibility, and effectiveness as key goals. E-health encompasses a wide range of information and communication technologies applied to health care, and focuses on combining clinical activity, technical development, and political requirements. Hence, e-health solutions must be evaluated in relation to the desired goals, to justify the high costs of such solutions.MethodsHealth technology assessment (HTA) aims to produce rational decisions for purchasing new technologies and evaluating healthcare investments, like drugs and medical equipment, by measuring added value in relation to clinical effectiveness, safety, and cost effectiveness. It is desired to also apply HTA assessment on large scale e-health solutions, but traditional quantitative HTA methodology may not be applicable to complex e-health systems developed and implemented as ongoing processes over years. Systematic reviews and meta-analyses of these processes risk being outdated when published, therefore action research designed to work with complex, large scale programs may be a more suitable approach.ResultsIn the project, we followed the development of a new process-oriented electronic patient record system (EPR) in northern Norway. Part of the process was structuring clinical data to be used in electronic forms within the system. This was the first time a health region structured the clinical data and designed the forms; receiving feedback alongside the process was very important. The goal was to use structured forms as a basis for reusing EPR data within and between systems, and to enable clinical decision support.DiscussionAfter designing a prototype of a structured form, we wrote an assessment report focusing on designing a methodology for such development, which stakeholders to include, and how to divide the work between the health region and the system vendor. The answers to such questions will have both practical and economic consequences for designing the next phase of the process.

Indigenous stents: examining the clinical data on new technologies

2014 ◽  
Vol 6 (3) ◽  
pp. 319-333 ◽  
Author(s):  
Vuppaladadhiam Hariram
Keyword(s):  
Clinical Data ◽  
New Technologies

scholarly journals Reusing microarray clinical data from a complex disease with bioinformatics tool

2018 ◽  
Author(s):  
Eugenio Del Prete ◽  
Angelo Facchiano ◽  
Pietro Liò
Keyword(s):  
Coeliac Disease ◽  
Clinical Data ◽  
Microarray Data ◽  
Complex Disease ◽  
New Technologies ◽  
Personalised Medicine ◽  
Translational Bioinformatics ◽  
Clinical Bioinformatics ◽  
Online Databases ◽  
Using Data

Clinical bioinformatics, translational bioinformatics and personalised medicine are connected by the common task of analysing and integrating clinical data and results, in order to find important biomarkers related to pathologies and facilitate their prediction, diagnosis and treatment. New technologies provides the possibility to have more and more clinical data available in online databases. This data can be reused for studying complex disease from novel point of views. This work show how it is possible considering online microarray data from coeliac disease and some of its comorbidities, combining both the data and the results. The main goal is the extraction of common evidences among the selected pathologies, from genes to different kinds of functional annotation, showing which biological processes are more involved in these autoimmune disorders and quantifying the similarity between coeliac disease and its comorbidities. The pipeline of the work is developed in R language, and it is semi-automated. Methodologically, the advantage of this work is the possibility of performing the entire analysis starting from a different pathology; clinically, scientists can have the possibility of using data already published to highlight old and new evidences, with the possibility of improve the knowledge on a complex disease according to the availability of new microarray data.

scholarly journals Reusing microarray clinical data from a complex disease with bioinformatics tool

2018 ◽  
Author(s):  
Eugenio Del Prete ◽  
Angelo Facchiano ◽  
Pietro Liò
Keyword(s):  
Coeliac Disease ◽  
Clinical Data ◽  
Microarray Data ◽  
Complex Disease ◽  
New Technologies ◽  
Personalised Medicine ◽  
Translational Bioinformatics ◽  
Clinical Bioinformatics ◽  
Online Databases ◽  
Using Data

Clinical bioinformatics, translational bioinformatics and personalised medicine are connected by the common task of analysing and integrating clinical data and results, in order to find important biomarkers related to pathologies and facilitate their prediction, diagnosis and treatment. New technologies provides the possibility to have more and more clinical data available in online databases. This data can be reused for studying complex disease from novel point of views. This work show how it is possible considering online microarray data from coeliac disease and some of its comorbidities, combining both the data and the results. The main goal is the extraction of common evidences among the selected pathologies, from genes to different kinds of functional annotation, showing which biological processes are more involved in these autoimmune disorders and quantifying the similarity between coeliac disease and its comorbidities. The pipeline of the work is developed in R language, and it is semi-automated. Methodologically, the advantage of this work is the possibility of performing the entire analysis starting from a different pathology; clinically, scientists can have the possibility of using data already published to highlight old and new evidences, with the possibility of improve the knowledge on a complex disease according to the availability of new microarray data.

scholarly journals Improving clinical data collection in the patients’ home in Parkinson’s disease: the SleepFit app (Preprint)

2019 ◽  
Author(s):  
Alessandro Mascheroni ◽  
Eun Kyoung Choe ◽  
Yuhan Luo ◽  
Michele Marazza ◽  
Clara Ferlito ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Data Collection ◽  
Clinical Data ◽  
New Technologies ◽  
Sleep Diary ◽  
Time Data ◽  
User Friendliness ◽  
Subjective Data ◽  
Home Based

BACKGROUND Home-based systems for ecological momentary assessment of clinically-relevant information in Parkinson’s Disease (PD) are helpful tools to improve patients’ care. Nevertheless, new technologies are not always easy-to-use for these patients. OBJECTIVE We developed a tablet-based application, SleepFit, specifically designed for patients with PD, to collect objective and subjective data at their home. SleepFit is presented with the improvements made from the prototype to the latest v2.0 version, aimed to enhance user-friendliness and the quality of the collected data. METHODS The core structure of SleepFit consists of: a) an electronic finger-tapping test; b) motor, sleepiness, and emotional subjective scales; c) a sleep diary. SleepFit v2.0 features enhanced ergonomics and graphics; automated flows that guide the patients in performing tasks throughout the 24 hours; secured real-time data collection and consultation; the possibility to easily integrate new tasks and features. Fifty-six patients with PD were asked to perform multiple home-assessments four times a day for two weeks. Patients’ compliance to SleepFit was calculated as the proportion of completed tasks out of the total number of expected tasks; satisfaction was evaluated as a potential willingness to use SleepFit again after the end of the study. RESULTS Fifty-two patients were included in the analyses. Overall compliance (all versions) was 88.9%. SleepFit was progressively enhanced and compliance increased from 87.9% to 89.9%. Among the patients who used the final version, 96.2% declared they would use SleepFit again. CONCLUSIONS SleepFit is an easy-to-use tablet-application to prospectively collect objective and subjective clinical data and to increase compliance in home-based studies in PD

Principles of Low-Vacuum SEM

1992 ◽  
Vol 50 (2) ◽  
pp. 1304-1305
Author(s):  
Klaus-Ruediger Peters
Keyword(s):  
New Technologies ◽  
High Vacuum ◽  
Optical Microscope ◽  
Specimen Surface ◽  
Electrical Field ◽  
Gaseous Environment ◽  
New Information ◽  
Gas Molecules ◽  
New Interactions ◽  
Gas Pressures

Only recently it became possible to expand scanning electron microscopy to low vacuum and atmospheric pressure through the introduction of several new technologies. In principle, only the specimen is provided with a controlled gaseous environment while the optical microscope column is kept at high vacuum. In the specimen chamber, the gas can generate new interactions with i) the probe electrons, ii) the specimen surface, and iii) the specimen-specific signal electrons. The results of these interactions yield new information about specimen surfaces not accessible to conventional high vacuum SEM. Several microscope types are available differing from each other by the maximum available gas pressure and the types of signals which can be used for investigation of specimen properties.Electrical non-conductors can be easily imaged despite charge accumulations at and beneath their surface. At high gas pressures between 10-2 and 2 torr, gas molecules are ionized in the electrical field between the specimen surface and the surrounding microscope parts through signal electrons and, to a certain extent, probe electrons. The gas provides a stable ion flux for a surface charge equalization if sufficient gas ions are provided.

Structural dynamics of P-type ATPase ion pumps

2019 ◽  
Vol 47 (5) ◽  
pp. 1247-1257 ◽  
Author(s):  
Mateusz Dyla ◽  
Sara Basse Hansen ◽  
Poul Nissen ◽  
Magnus Kjaergaard
Keyword(s):  
Structural Dynamics ◽  
Single Molecule ◽  
New Technologies ◽  
Atp Hydrolysis ◽  
Resonance Energy Transfer ◽  
Resonance Energy ◽  
Time Resolved ◽  
Dynamics Simulations ◽  
Types Of Information ◽  
P Type

Abstract P-type ATPases transport ions across biological membranes against concentration gradients and are essential for all cells. They use the energy from ATP hydrolysis to propel large intramolecular movements, which drive vectorial transport of ions. Tight coordination of the motions of the pump is required to couple the two spatially distant processes of ion binding and ATP hydrolysis. Here, we review our current understanding of the structural dynamics of P-type ATPases, focusing primarily on Ca2+ pumps. We integrate different types of information that report on structural dynamics, primarily time-resolved fluorescence experiments including single-molecule Förster resonance energy transfer and molecular dynamics simulations, and interpret them in the framework provided by the numerous crystal structures of sarco/endoplasmic reticulum Ca2+-ATPase. We discuss the challenges in characterizing the dynamics of membrane pumps, and the likely impact of new technologies on the field.

Meiotic CENP-C is a shepherd: bridging the space between the centromere and the kinetochore in time and space

2020 ◽  
Vol 64 (2) ◽  
pp. 251-261
Author(s):  
Jessica E. Fellmeth ◽  
Kim S. McKim
Keyword(s):  
Chromosome Segregation ◽  
New Technologies ◽  
Early Prophase ◽  
Unique Role ◽  
Kinetochore Assembly ◽  
M Phase ◽  
In Vivo Analysis ◽  
Meiosis I

Abstract While many of the proteins involved in the mitotic centromere and kinetochore are conserved in meiosis, they often gain a novel function due to the unique needs of homolog segregation during meiosis I (MI). CENP-C is a critical component of the centromere for kinetochore assembly in mitosis. Recent work, however, has highlighted the unique features of meiotic CENP-C. Centromere establishment and stability require CENP-C loading at the centromere for CENP-A function. Pre-meiotic loading of proteins necessary for homolog recombination as well as cohesion also rely on CENP-C, as do the main scaffolding components of the kinetochore. Much of this work relies on new technologies that enable in vivo analysis of meiosis like never before. Here, we strive to highlight the unique role of this highly conserved centromere protein that loads on to centromeres prior to M-phase onset, but continues to perform critical functions through chromosome segregation. CENP-C is not merely a structural link between the centromere and the kinetochore, but also a functional one joining the processes of early prophase homolog synapsis to late metaphase kinetochore assembly and signaling.

Abstract # P-13: Characteristics of Korean T2DM Patients with Diabetic Retinopathy and Macular Edema: A Study Based on a Standardized Clinical Data

2016 ◽  
Vol 22 ◽  
pp. 19-20
Author(s):  
Sang Youl Rhee ◽  
Sejeong Park ◽  
Ki Young Kim ◽  
Suk Chon ◽  
Seung-Young Yu ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Macular Edema ◽  
Clinical Data
Sign in / Sign up

Export Citation Format

Share Document