Results 21 to 30 of about 253,606 (273)

Why dried blood spots are an ideal tool for CYP1A2 phenotyping [PDF]

, 2014
Background and Objective: Dried blood spot (DBS) sampling has gained wide interest in bioanalysis during the last decade and has already been successfully applied in pharmacokinetic and phenotyping studies.
De Kesel, Pieter, Lambert, Willy, Stove, Christophe   +2 more
core   +2 more sources

Opportunities and limitations of crop phenotyping in southern european countries [PDF]

, 2019
ReviewThe Mediterranean climate is characterized by hot dry summers and frequent droughts. Mediterranean crops are frequently subjected to high evapotranspiration demands, soil water deficits, high temperatures, and photo-oxidative stress.
Baris Uzilday, Carla Pinheiro, Carla Pinheiro, Francesco Loreto, Ismail Turkan, Joaquim Miguel Costa, Jorge Marques da Silva, Maria Margarida Oliveira, Matilde Barón, Matthew Haworth, Mauro Centritto, Photini Mylona   +11 more
core   +3 more sources

Characterizing the Risk of Depression Following Mild Traumatic Brain Injury: A Meta-Analysis of the Literature Comparing Chronic mTBI to Non-mTBI Populations

Frontiers in Neurology, 2020
Objective: Mild traumatic brain injury (mTBI) is associated with depressed mood acutely post-injury, but there is little evidence regarding long-term depression.
Sarah C. Hellewell, Caerwen S. Beaton, Thomas Welton, Stuart M. Grieve, Stuart M. Grieve, Stuart M. Grieve   +5 more
doaj   +1 more source

Paracrine Mechanisms of Mesenchymal Stromal Cells in Angiogenesis

Stem Cells International, 2020
The role of the mesenchymal stromal cell- (MSC-) derived secretome is becoming increasingly intriguing from a clinical perspective due to its ability to stimulate endogenous tissue repair processes as well as its effective regulation of the immune system,
Selma Maacha, Heba Sidahmed, Shana Jacob, Giusy Gentilcore, Rita Calzone, Jean-Charles Grivel, Chiara Cugno   +6 more
doaj   +1 more source

Technologies will not make diabetes disappear: how to integrate the concept of diabetes distress into care

Diabetes Epidemiology and Management, 2023
Diabetes epidemiology has evolved rapidly since the 90 s and so are the technologies for diabetes treatment and care. With each new innovation coming to the market, hopes that technologies will solve the numerous, complex, issues related to diabetes are ...
Guy Fagherazzi
doaj   +1 more source

Designing an Interactively Cognitive Humanoid Field-Phenotyping Robot for In-Field Rice Tiller Counting

Agriculture, 2022
Field phenotyping is a crucial process in crop breeding, and traditional manual phenotyping is labor-intensive and time-consuming. Therefore, many automatic high-throughput phenotyping platforms (HTPPs) have been studied.
Yixiang Huang, Pengcheng Xia, Liang Gong, Binhao Chen, Yanming Li, Chengliang Liu   +5 more
doaj   +1 more source

A Mixed Data-Based Deep Neural Network to Estimate Leaf Area Index in Wheat Breeding Trials [PDF]

, 2020
Remote and non-destructive estimation of leaf area index (LAI) has been a challenge in the last few decades as the direct and indirect methods available are laborious and time-consuming.
Apolo Apolo, Orly Enrique, Egea Cegarra, Gregorio, Martínez Guanter, Jorge, Pérez Ruiz, Manuel   +3 more
core   +1 more source

DEL phenotype [PDF]

Immunohematology, 2017
Abstract DEL red blood cells (RBCs) type as D– by routine serologic methods and are transfused routinely, without being identified as expressing a very weak D antigen, to D– recipients. DEL RBCs are detected only by adsorption and elution of anti-D or by molecular methods. Most DEL phenotypes have been reported in
Dong H, Kwon, S G, Sandler, Willy A, Flegel   +2 more
openaire   +2 more sources

Modeling neurocognitive and neurobiological recovery in addiction [PDF]

, 2019
This book focuses on "what to know" and "how to apply" information, prioritizing novel principles and delineating cutting-edge assessment, phenotyping and treatment ...
Abé, Agartz, Aharonovich, Almeida, Anderson, Bae, Bates, Bernardin, Blaine, Block, Bolla, Brody, Buhler, Cardenas, Cardenas, Cavazos-Rehg, Chang, Chang, Charlet, Crews, Crews, de Wit, Demirakca, Di Sclafani, Dlugos, Dom, Dominguez-Salas, Duka, Durazzo, Durazzo, Durazzo, Durazzo, Durazzo, Durazzo, Durazzo, Durazzo, Durazzo, Durazzo, Durazzo, Durazzo, Durazzo, Durazzo, Durazzo, Durazzo, Durazzo, Durazzo, Durazzo, Eldreth, Ernst, Ernst, Ernst, Ersche, Ersche, Fein, Fein, Fein, Fernandez-Serrano, Fernandez-Serrano, Franklin, Gansler, Gazdzinski, Gazdzinski, Gazdzinski, Gazdzinski, Giorgi, Glass, Goldstein, Goldstein, Hanlon, Hasin, Heinz, Hermann, Hirsiger, Hoefer, Holman, Humphreys, Hwang, Iudicello, Kalman, Ke, Kim, Klein, Koob, Le Berre, Licata, Loeber, Mackey, Matochik, Matochik, Medina, Meyerhoff, Meyerhoff, Meyerhoff, Meyerhoff, Meyerhoff, Meyerhoff, Meyerhoff, Mon, Mon, Mon, Moorman, Morales, Moreno-Alcázar, Moss, Murray, Murray, Nader, Nicolas, Nordahl, Noyan, O'Neill, Oishi, Oscar-Berman, Oscar-Berman, Parks, Parvaz, Passetti, Pennington, Pennington, Pfefferbaum, Prescot, Prescot, Rabin, Rando, Rezapour, Rogers, Rourke, Rupp, Sailasuta, Salo, Schmidt, Schulte, Segobin, Seo, Seo, Simon, Sneider, Sorg, Stavro, Stevens, Streeter, Sullivan, Sullivan, Sullivan, Sullivan, Thompson, Tunving, van Eijk, Verdejo-Garcia, Verdejo-Garcia, Verdejo-Garcia, Volkow, Volkow, Volkow, Volkow, Volkow, Volkow, Volkow, Volkow, Vonmoos, Walitzer, Wang, Wang, Wang, Weber, Weinberger, Weinberger, Weinberger, Williams, Witkiewitz, Xiao, Yang, Yeh, Yoon, Younger, Yucel, Zahr, Zahr, Zatorre, Zou   +179 more
core   +1 more source

Benchmarking machine learning models on multi-centre eICU critical care dataset [PDF]

, 2020
Progress of machine learning in critical care has been difficult to track, in part due to absence of public benchmarks. Other fields of research (such as computer vision and natural language processing) have established various competitions and public ...
Balaraman, Vevake, Osmani, Venet, Sheikhalishahi, Seyedmostafa   +2 more
core   +3 more sources