The Experts below are selected from a list of 214455 Experts worldwide ranked by ideXlab platform
Felix W Frueh - One of the best experts on this subject based on the ideXlab platform.
-
Process Map proposal for the validation of genomic biomarkers
Pharmacogenomics, 2006Co-Authors: Federico Goodsaid, Felix W FruehAbstract:How can we encourage the application of novel genomic biomarkers in drug development? A major step in this direction would be a consensus on how to interpret results from measurements of these biomarkers in regulatory submissions. A transparent Process for genomic biomarker validation would be of value both for the pharmaceutical industry as well as for regulatory agencies associated with it. A discussion on Process Map proposals for genomic biomarker validation can help with drafting of guidance documents for this Process. A key to the transformation of the drug development paradigm has been described as a progressive reduction of uncertainty about effects or/and an increasing level of confidence about outcomes using biomarkers [1]. Biomarkers contributing to this transformation often contain multidimensional and not binary information. New biomarkers can revolutionize both the development and use of therapeutics, but may require commercial development of novel biomarker technologies and regulatory pathways for the efficient development of therapeutic/biomarker pairs. Processes for the submission and review of pharmacogenomic and toxicogenomic data to the US FDA (FDA) are being established from work within the agency leading to documents summarizing the science, the regulatory expectations, and new approaches to the interaction between sponsors and the FDA. The framework for this work was outlined in the document Guidance for Industry: Pharmacogenomic Data Submissions [101] published on March 22, 2005. The guidance: • Introduces a classification for genomic biomarkers
-
Process Map proposal for the validation of genomic biomarkers
Pharmacogenomics, 2006Co-Authors: Federico Goodsaid, Felix W FruehAbstract:How can we encourage the application of novel genomic biomarkers in drug development? A major step in this direction would be a consensus on how to interpret results from measurements of these biomarkers in regulatory submissions. A transparent Process for genomic biomarker validation would be of value both for the pharmaceutical industry as well as for regulatory agencies associated with it. A discussion on Process Map proposals for genomic biomarker validation can help with drafting of guidance documents for this Process.
J Jocelyn R Pare - One of the best experts on this subject based on the ideXlab platform.
-
the microwave assisted Process Maptm1 extraction and determination of fat from cocoa powder and cocoa nibs
Journal of Food Engineering, 2007Co-Authors: Sandra Elkhori, J Jocelyn R Pare, Jacqueline M R Belanger, Elevina PerezAbstract:This study aimed at replacing the conventional soxhlet extraction of the AOAC determination of fat by the microwave-assisted Process (Map). Fat contents were determined for cocoa powder and Theobroma cocoa nibs originating from the Barlovento area, Venezuela. Fats from cocoa powder and pre-treated ground nibs were extracted using different solvents that are relatively transparent to microwaves, i.e., petroleum ether, hexane, acetone, and isopropanol. The determinations were performed using a Prolabo Soxwave 3.6 Map extraction system and the AOAC methods. The fatty acid profile of cocoa powder obtained from the different extraction methods was also characterized to establish similarities between the various conditions. Results showed that compared to conventional methods, Map can be used as a relatively faster Process of extracting fat and offering the advantages of low consumption of expensive organic solvents, short extraction time, less energy consumption, and excellent reproducibility.
-
effect of ethanol concentration on the efficiency of extraction of ginseng saponins when using a microwave assisted Process Map
International Journal of Food Science and Technology, 2003Co-Authors: Joongho Kwon, Jacqueline M R Belanger, Geedong Lee, J Jocelyn R PareAbstract:Summary This research determined the effect of ethanol concentration (vol.%) on the extraction of saponins from ginseng using a microwave-assisted Process (MapTM) at different powers under atmospheric pressure conditions. The optimized particle size of ginseng roots and mass-to-solvent volume ratio were 60 mesh and 1 : 10 (g mL−1), respectively. The yields of total solids and crude saponins were influenced by ethanol concentration, with the highest value at 45–60% for the former and 60–75% for the latter, at microwave power levels of 88 and 162 W. Their respective yield per unit time (60 s) was higher at 162 W than at 88 W; however, the extraction efficiency was lower for the former than for the latter. Extraction properties of ginsenosides were similar to those of crude saponins. The results show that the ethanol concentration was influential in Map extraction of ginseng saponins and that total imparted energy and level of applied power should be considered in terms of extraction efficiency.
-
application of the microwave assisted Process Map to the fast extraction of ginseng saponins
Food Research International, 2003Co-Authors: Joongho Kwon, J Jocelyn R Pare, Jacqueline M R Belanger, Varoujan A YaylayanAbstract:Abstract Due to the importance of saponin content in ginseng extracts, the microwave-assisted Process (Map™) was compared to the conventional extraction methods in terms of the extraction time, yield, quality and the nature of ginsenosides extracted. For comparison of the two techniques, all extraction parameters (solvent, sample to solvent ratio, temperature, etc.) were kept the same; the microwave extractor was operated at 300 W with an emission frequency of 2450 MHz under atmospheric pressure conditions and the extractions were carried out at 72.2 °C for 30 s (4 ×), while the conventional reflux was at 75±1 °C for 3 h (4×). Total yield and crude saponin content were determined gravimetrically and chromatographically (TLC, HPLC) and compared with the accreditation values. Results indicated that the Map was comparable to the conventional method in its capability to extract target components without causing any degradation, in addition it dramatically reduced the extraction time from 12 h to a few seconds, suggesting that it can be an alternative technique to the time-consuming conventional reflux method.
-
microwave assisted Process Map a new tool for the analytical laboratory
Trends in Analytical Chemistry, 1994Co-Authors: J Jocelyn R Pare, Jacqueline M R Belanger, Sally S StaffordAbstract:Abstract This article describes the latest advances in a patented microwave-assisted extraction Process. The fundamental physical phenomena at play are reviewed and discussed in terms of their role in methods development work. The Process offers new sample preparation techniques for matrices such as plant and animal tissues, soils, water, consumer products, cosmetics, and others. Two main areas of extractions are discussed, namely liquid-phase and gas-phase extraction.
Hiroshi Date - One of the best experts on this subject based on the ideXlab platform.
-
Resection Process Map: A novel dynamic simulation system for pulmonary resection.
The Journal of thoracic and cardiovascular surgery, 2019Co-Authors: Junko Tokuno, Toyofumi F. Chen-yoshikawa, Megumi Nakao, Tetsuya Matsuda, Hiroshi DateAbstract:Abstract Objective Use of 3-dimensional computed tomography for preoperative and intraoperative simulation has been introduced in the field of thoracic surgery. However, 3-dimensional computed tomography provides only static simulation, which is a significant limitation of surgical simulation. Dynamic simulation, reflecting the intraoperative deformation of the lung, has not been developed. The aim of this study was to develop a novel simulation system that generates dynamic images based on patient-specific computed tomography data. Methods We developed an original software, the Resection Process Map, for anatomic pulmonary resection. The Resection Process Map semi-automatically generates virtual dynamic images based on patient-specific computed tomography data. We retrospectively evaluated its accuracy in 18 representative cases by comparing the virtual dynamic images with the actual surgical images. Results In this study, 9 patients who underwent lobectomy and 9 patients who underwent segmentectomy were included. For each case, a virtual dynamic image was successfully generated semi-automatically by the Resection Process Map. The Resection Process Map accurately delineated 98.6% of vessel branches and all the bronchi. The median time required to obtain the images was 121.3 seconds. Conclusions We successfully developed a novel dynamic simulation system, the Resection Process Map, for anatomic pulmonary resection.
Federico Goodsaid - One of the best experts on this subject based on the ideXlab platform.
-
Process Map proposal for the validation of genomic biomarkers
Pharmacogenomics, 2006Co-Authors: Federico Goodsaid, Felix W FruehAbstract:How can we encourage the application of novel genomic biomarkers in drug development? A major step in this direction would be a consensus on how to interpret results from measurements of these biomarkers in regulatory submissions. A transparent Process for genomic biomarker validation would be of value both for the pharmaceutical industry as well as for regulatory agencies associated with it. A discussion on Process Map proposals for genomic biomarker validation can help with drafting of guidance documents for this Process. A key to the transformation of the drug development paradigm has been described as a progressive reduction of uncertainty about effects or/and an increasing level of confidence about outcomes using biomarkers [1]. Biomarkers contributing to this transformation often contain multidimensional and not binary information. New biomarkers can revolutionize both the development and use of therapeutics, but may require commercial development of novel biomarker technologies and regulatory pathways for the efficient development of therapeutic/biomarker pairs. Processes for the submission and review of pharmacogenomic and toxicogenomic data to the US FDA (FDA) are being established from work within the agency leading to documents summarizing the science, the regulatory expectations, and new approaches to the interaction between sponsors and the FDA. The framework for this work was outlined in the document Guidance for Industry: Pharmacogenomic Data Submissions [101] published on March 22, 2005. The guidance: • Introduces a classification for genomic biomarkers
-
Process Map proposal for the validation of genomic biomarkers
Pharmacogenomics, 2006Co-Authors: Federico Goodsaid, Felix W FruehAbstract:How can we encourage the application of novel genomic biomarkers in drug development? A major step in this direction would be a consensus on how to interpret results from measurements of these biomarkers in regulatory submissions. A transparent Process for genomic biomarker validation would be of value both for the pharmaceutical industry as well as for regulatory agencies associated with it. A discussion on Process Map proposals for genomic biomarker validation can help with drafting of guidance documents for this Process.
Mrh Michel Mandjes - One of the best experts on this subject based on the ideXlab platform.
-
first passage of a markov additive Process and generalized jordan chains
Journal of Applied Probability, 2010Co-Authors: Bernardo Dauria, Jevgenijs Ivanovs, Offer Kella, Mrh Michel MandjesAbstract:In this paper we consider the first passage Process of a spectrally negative Markov additive Process (Map). The law of this Process is uniquely characterized by a certain matrix function, which plays a crucial role in fluctuation theory. We show how to identify this matrix using the theory of Jordan chains associated with analytic matrix functions. This result provides us with a technique, which can be used to derive various further identities.
-
singularities of the generator of a markov additive Process with one sided jumps
CWI. Probability Networks and Algorithms [PNA], 2008Co-Authors: Jevgenijs Ivanovs, Onno Boxma, Mrh Michel MandjesAbstract:htmlabstractWe analyze the number of zeros of det(F(alpha)), where F(alpha) is the matrix cumulant generating function of a Markov Additive Process (Map) with one-sided jumps. The focus is on the number of zeros in the right half of the comple x plane, where det(F(alpha)) is well-defined. Moreover, we analyze the case of a killed Map with state-dependent killing rates, and the limiting behavior of the zeros as all killing rates converge to 0. We argue that our results are particulary useful for the fluctuation theory of Maps. For example, they lead, under mild assumptions, to a straightforward identification of the stationary distribution of a reflected Map with one-sided jumps.
