An Extensible Free Software Platform for Managing Image-Based Clinical Trials

2014 ◽  
pp. 1270-1273 ◽  
Author(s):  
M. A. Laguna ◽  
N. Malpica ◽  
J. A. Hernández-Tamames
Keyword(s):  
Clinical Trials ◽  
Free Software ◽  
Software Platform

EJ: A Free Software Platform for Social Participation

2019 ◽  
pp. 27-37
Author(s):  
Fábio Macêdo Mendes ◽  
Ricardo Poppi ◽  
Henrique Parra ◽  
Bruna Moreira
Keyword(s):  
Social Participation ◽  
Free Software ◽  
Software Platform

scholarly journals OxMaR: Open Source Free Software for Online Minimization and Randomization for Clinical Trials

PLoS ONE ◽  
2014 ◽  
Vol 9 (10) ◽  
pp. e110761 ◽  
Author(s):  
Christopher A. O’Callaghan
Keyword(s):  
Clinical Trials ◽  
Open Source ◽  
Free Software

Design storm prediction and hydrologic modeling using a web-GIS approach on a free-software platform

2005 ◽  
Vol 77 (1-4) ◽  
pp. 367-377 ◽  
Author(s):  
E.M. Castrogiovanni ◽  
G. La Loggia ◽  
L.V. Noto
Keyword(s):  
Hydrologic Modeling ◽  
Free Software ◽  
Web Gis ◽  
Software Platform ◽  
Design Storm ◽  
Storm Prediction

scholarly journals Atomic reconstruction of biomolecular structures from AFM images and quantitative validation of experimental data using simulated AFM scanning

2021 ◽  
Author(s):  
Romain Amyot ◽  
Arin Marchesi ◽  
Clemens M Franz ◽  
Ignacio Casuso ◽  
Holger Flechsig
Keyword(s):  
Experimental Data ◽  
Quantitative Analysis ◽  
Detailed Analysis ◽  
Software Package ◽  
High Speed ◽  
Free Software ◽  
Software Platform ◽  
Interactive Interface ◽  
Surface Topographies ◽  
Quantitative Validation

We provide the BioAFMviewer-Toolbox, an extension of our previously developed software platform for simulated AFM scanning of biomolecular structures and dy- namics. The focus was on developing a toolbox of methods which employ simulated AFM scanning combined with quantitative analysis to facilitate the interpretation of resolution-limited AFM images. The key advancement is the automatized fitting of biomolecular structures to experimental AFM images, which allows to reconstruct 3D atomistic structures from AFM surface scans. Moreover, several methods for detailed analysis and comparison of surface topographies in simulated and experimental AFM images are provided. We demonstrate the applicability of the developed tools in the interpretation of high-speed AFM observations of proteins. The toolbox is implemented into the versatile interactive interface of the BioAFMviewer, which is a free software package available at www.bioafmviewer.com.

Image processing in biodosimetry: A proposal of a generic free software platform

2015 ◽  
Author(s):  
Matthias Dumpelmann ◽  
Mariel Cadena da Matta ◽  
Marcela Maria Pereira de Lemos Pinto ◽  
Thiago de Salazar e Fernandes ◽  
Edvane Borges da Silva ◽  
...  
Keyword(s):  
Image Processing ◽  
Free Software ◽  
Software Platform

A low-cost, free-software platform with hard real-time performance for control engineering education

2018 ◽  
Vol 27 (2) ◽  
pp. 406-418 ◽  
Author(s):  
Andrés M. González-Vargas ◽  
Juan M. Serna-Ramirez ◽  
Carlos Fory-Aguirre ◽  
Alejandro Ojeda-Misses ◽  
John M. Cardona-Ordoñez ◽  
...  
Keyword(s):  
Engineering Education ◽  
Real Time ◽  
Low Cost ◽  
Free Software ◽  
Software Platform ◽  
Control Engineering ◽  
Time Performance ◽  
Hard Real Time

scholarly journals BOIN Suite: A Software Platform to Design and Implement Novel Early-Phase Clinical Trials

2021 ◽  
pp. 91-101
Author(s):  
Yanhong Zhou ◽  
Ruitao Lin ◽  
Ying-Wei Kuo ◽  
J. Jack Lee ◽  
Ying Yuan
Keyword(s):  
Clinical Trials ◽  
Early Phase ◽  
Single Agent ◽  
Adaptive Designs ◽  
Software Platform ◽  
Web Based ◽  
Major Barrier ◽  
R Shiny ◽  
Early Phase Clinical Trials ◽  
User Friendly

PURPOSE Using novel Bayesian adaptive designs has great potential to improve the efficiency of early-phase clinical trials. A major barrier for clinical researchers to adopt novel designs is the lack of easy-to-use software. Our purpose is to develop a user-friendly software platform to implement novel clinical trial designs that address various challenges in early-phase dose-finding trials. METHODS We used R Shiny to develop a web-based software platform to facilitate the use of recent novel adaptive designs. RESULTS We developed a web-based software suite, called Bayesian optimal interval (BOIN) suite, which includes R Shiny applications to handle various clinical settings, including single-agent phase I trials with and without prior information, trials with late-onset toxicity, trials to find the optimal biological dose based on risk-benefit trade-off, and drug combination trials to find a single maximum tolerated dose (MTD) or the MTD contour. The applications are built using the same software architecture to ensure the best and a uniform user experience, and they are developed using a proven software development standard operating procedure to ensure accuracy, robustness, and reproducibility. The suite is freely available with internet access and a web browser without the need of installing any other software. CONCLUSION The BOIN suite allows clinical researchers to design various types of early-phase clinical trials under a unified framework. This work is extremely important because it not only advances the clinical research and drug development by facilitating the use of novel trial designs with optimal performance but also enhances collaborations between biostatisticians and clinicians by disseminating novel statistical methodology to broader scientific communities through user-friendly software. The BOIN suite establishes a KISS principle: keep it simple, but smart.

Localization of Gallium-67 in Peritoneal Cells by Electron Microscopic Autoradiography

1973 ◽  
Vol 31 ◽  
pp. 404-405
Author(s):  
D. C. Swartzendruber ◽  
Norma L. Idoyaga-Vargas
Keyword(s):  
Clinical Trials ◽  
Soft Tissue ◽  
Tumor Tissue ◽  
Soft Tissue Tumors ◽  
Clinical Usefulness ◽  
Electron Microscopic ◽  
Normal Cells ◽  
Electron Microscopic Autoradiography ◽  
Peritoneal Cells ◽  
Gallium 67

The radionuclide gallium-67 (67Ga) localizes preferentially but not specifically in many human and experimental soft-tissue tumors. Because of this localization, 67Ga is used in clinical trials to detect humar. cancers by external scintiscanning methods. However, the fact that 67Ga does not localize specifically in tumors requires for its eventual clinical usefulness a fuller understanding of the mechanisms that control its deposition in both malignant and normal cells. We have previously reported that 67Ga localizes in lysosomal-like bodies, notably, although not exclusively, in macrophages of the spocytaneous AKR thymoma. Further studies on the uptake of 67Ga by macrophages are needed to determine whether there are factors related to malignancy that might alter the localization of 67Ga in these cells and thus provide clues to discovering the mechanism of 67Ga localization in tumor tissue.

Patients' satisfaction in clinical trials

2000 ◽  
Vol 248 (6) ◽  
pp. 441-442 ◽  
Author(s):  
L. Terenius
Keyword(s):  
Clinical Trials ◽  
Patients Satisfaction
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