Garot, Marion
Published in
SYMPOSIUM [email protected]
Stefan Zweig (1881–1942) a écrit de très nombreuses biographies au cours de sa carrière. Ayant à cœur de transmettre un héritage culturel européen, l’écrivain autrichien nous laisse percevoir son cheminement intellectuel et sa vision toute personnelle de l’Histoire. À travers les portraits choisis de personnages érigés en figures illustres, son tra...
de Souza, Jenifer Frouche Santana, Marcos Vinicius da Silva da Silva, Ana Cláudia Rodrigues Donza, Marcio Roberto Henriques Ferreira, Vitor Francisco Ferreira, Sabrina Baptista Sanchez, Eladio Flores Castro, Helena Carla Fuly, André Lopes
Published in
Zeitschrift für Naturforschung C
Snakebite envenoming is a health concern and has been a neglected tropical disease since 2017, according to the World Health Organization. In this study, we evaluated the ability of ten 1,2,3-triazole derivatives AM001 to AM010 to inhibit pertinent in vitro (coagulant, hemolytic, and proteolytic) and in vivo (hemorrhagic, edematogenic, and lethal) ...
Kurstjens, Steef de Bel, Thomas van der Horst, Armando Kusters, Ron Krabbe, Johannes van Balveren, Jasmijn
Published in
Clinical Chemistry and Laboratory Medicine (CCLM)
Objectives Computational algorithms for the interpretation of laboratory test results can support physicians and specialists in laboratory medicine. The aim of this study was to develop, implement and evaluate a machine learning algorithm that automatically assesses the risk of low body iron storage, reflected by low ferritin plasma levels, in anem...
Soerensen, Patricia Diana Christensen, Henry Gray Worsoe Laursen, Soeren Hardahl, Christian Brandslund, Ivan Madsen, Jonna Skov
Published in
Clinical Chemistry and Laboratory Medicine (CCLM)
Objectives To evaluate the ability of an artificial intelligence (AI) model to predict the risk of cancer in patients referred from primary care based on routine blood tests. Results obtained with the AI model are compared to results based on logistic regression (LR). Methods An analytical profile consisting of 25 predefined routine laboratory bloo...
Pennestrì, Federico Banfi, Giuseppe
Published in
Clinical Chemistry and Laboratory Medicine (CCLM)
The contribution of laboratory medicine in delivering value-based care depends on active cooperation and trust between pathologist and clinician. The effectiveness of medicine more in general depends in turn on active cooperation and trust between clinician and patient. From the second half of the 20th century, the art of medicine is challenged by ...
Pei, Qin Luo, Yanan Chen, Yiyu Li, Jingyuan Xie, Dan Ye, Ting
Published in
Clinical Chemistry and Laboratory Medicine (CCLM)
Artificial intelligence (AI) is a branch of computer science that includes research in robotics, language recognition, image recognition, natural language processing, and expert systems. AI is poised to change medical practice, and oncology is not an exception to this trend. As the matter of fact, lung cancer has the highest morbidity and mortality...
Işık, Ayşen Çevik, Ulviye Acar Celik, Ismail Erçetin, Tuğba Koçak, Ahmet Özkay, Yusuf Kaplancıklı, Zafer Asım
Published in
Zeitschrift für Naturforschung C
In this study, two novel series of thiazolylhydrazone derivatives containing 4-ethylpiperazine (3a–3f) and 4-methoxyphenylpiperazine (3g–3l) side chains were synthesized and their structures were characterized by spectral (1H NMR, 13C NMR, and MS spectra) analyses. In vitro inhibitory activities of synthesized compounds against acetylcholinesterase...
Hatami, Behzad Asadi, Farkhondeh Bayani, Azadeh Zali, Mohammad Reza Kavousi, Kaveh
Published in
Clinical Chemistry and Laboratory Medicine (CCLM)
Objectives The aim of the study was to implement a non-invasive model to predict ascites grades among patients with cirrhosis. Methods In the present study, we used modern machine learning (ML) methods to develop a scoring system solely based on routine laboratory and clinical data to help physicians accurately diagnose and predict different degree...
Farrell, Christopher-John L.
Published in
Clinical Chemistry and Laboratory Medicine (CCLM)
Objectives Artificial intelligence (AI) models are increasingly being developed for clinical chemistry applications, however, it is not understood whether human interaction with the models, which may occur once they are implemented, improves or worsens their performance. This study examined the effect of human supervision on an artificial neural ne...
Benítez Fernández, Montserrat Guerrero, Jairo
Published in
International Journal of the Sociology of Language
The symbolic values that speakers attribute to certain linguistic features constitute an important sociolinguistic topic which, barring a few seminal works, has not drawn much attention from scholars working on Maghrebi Arabic, and more specifically, Moroccan varieties. The present paper aims to deepen our understanding of metalinguistic representa...