Zobrazeno 1 - 10
of 711
pro vyhledávání: '"P. Androutsos"'
Autor:
Vasileios C. Pezoulas, Dimitrios I. Zaridis, Eugenia Mylona, Christos Androutsos, Kosmas Apostolidis, Nikolaos S. Tachos, Dimitrios I. Fotiadis
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 2892-2910 (2024)
Synthetic data generation has emerged as a promising solution to overcome the challenges which are posed by data scarcity and privacy concerns, as well as, to address the need for training artificial intelligence (AI) algorithms on unbiased data with
Externí odkaz:
https://doaj.org/article/1595553cc13b4b048a4661b05bb4ccd8
Autor:
Marieke De Craemer, Greet Cardon, Marga Decraene, Odysseas Androutsos, Luis Moreno, Violeta Iotova, Berthold Koletzko, Piotr Socha, Yannis Manios, Vera Verbestel
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background There is a lack of studies evaluating longitudinal changes in adiposity indicators and the association with 24-hour movement behavior guidelines in preschoolers. Therefore, this study aimed to investigate associations between chan
Externí odkaz:
https://doaj.org/article/9583ca637db944caa7865d28ed163da2
Autor:
Dy, Amanda, Nguyen, Ngoc-Nhu Jennifer, Mirjahanmardi, Seyed Hossein, Dawe, Melanie, Fyles, Anthony, Shi, Wei, Liu, Fei-Fei, Androutsos, Dimitrios, Done, Susan, Khademi, April
Deep learning systems have been proposed to improve the objectivity and efficiency of Ki- 67 PI scoring. The challenge is that while very accurate, deep learning techniques suffer from reduced performance when applied to out-of-domain data. This is a
Externí odkaz:
http://arxiv.org/abs/2307.03872
Autor:
Lauro Estivalete Marchionatti, Julia Luiza Schafer, Vasiliki Eirini Karagiorga, Panagiota Balikou, Andromachi Mitropoulou, Aspasia Serdari, Giorgos Moschos, Lilian Athanasopoulou, Maria Basta, André Simioni, Julian Vicenzi, Efstathia Kapsimalli, Alexandra Tzotzi, Sotiria Mitroulaki, Katerina Papanikolaou, Kalliopi Triantafyllou, Dimitra Moustaka, Shekhar Saxena, Sara Evans-Lacko, Christos Androutsos, Anastasia Koumoula, Giovanni Abrahão Salum, Konstantinos Kotsis
Publikováno v:
Frontiers in Health Services, Vol 4 (2024)
BackgroundThe mental health system in Greece faces challenges to complete its transition to a community-oriented model, having significant concerns for child and adolescent care due to lower coverage and service gaps. This component of the mental hea
Externí odkaz:
https://doaj.org/article/6c0bbe283306478ba46cd954f6047029
Autor:
Boucharas, Dimitrios, Androutsos, Christos, Gkois, George, Tsakanikas, Vassilis, Pezoulas, Vasileios, Manousos, Dimitrios, Skaramagkas, Vasileios, Chatzaki, Chariklia, Kontogiannis, Stathis, Spandonidis, Christos, Pantazis, Alexandros, Tachos, Nikolaos, Tsiknakis, Manolis, Fotiadis, Dimitrios
During the preceding decades, human gait analysis has been the center of attention for the scientific community, while the association between gait analysis and overall health monitoring has been extensively reported. Technological advances further a
Externí odkaz:
http://arxiv.org/abs/2212.00109
Autor:
Lampros Androutsos, Lorenzo Pallante, Agorakis Bompotas, Filip Stojceski, Gianvito Grasso, Dario Piga, Giacomo Di Benedetto, Christos Alexakos, Athanasios Kalogeras, Konstantinos Theofilatos, Marco A. Deriu, Seferina Mavroudi
Publikováno v:
npj Science of Food, Vol 8, Iss 1, Pp 1-10 (2024)
Abstract Taste perception plays a pivotal role in guiding nutrient intake and aiding in the avoidance of potentially harmful substances through five basic tastes - sweet, bitter, umami, salty, and sour. Taste perception originates from molecular inte
Externí odkaz:
https://doaj.org/article/86b8aad8b5d545c9bad7bc499f03d2a0
Autor:
Lorenzo Pallante, Marco Cannariato, Lampros Androutsos, Eric A. Zizzi, Agorakis Bompotas, Xhesika Hada, Gianvito Grasso, Athanasios Kalogeras, Seferina Mavroudi, Giacomo Di Benedetto, Konstantinos Theofilatos, Marco A. Deriu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Protein residues within binding pockets play a critical role in determining the range of ligands that can interact with a protein, influencing its structure and function. Identifying structural similarities in proteins offers valuable insigh
Externí odkaz:
https://doaj.org/article/9bcb672a130244278c5117153c2e7889
Autor:
Paris Kantaras, Anna Kokkinopoulou, Jeske H. J. Hageman, Maria Hassapidou, Odysseas Androutsos, Maria Kanaki, Ingeborg Bovee-Oudenhoven, Eva Karaglani, Aikaterini-Maria Kontochristopoulou, Rolf Bos, Yannis Manios
Publikováno v:
Frontiers in Pediatrics, Vol 12 (2024)
ObjectiveThis study aimed to investigate growth and gut comfort of healthy infants fed with a partially hydrolysed cow's milk protein-based infant formula (pHF) compared to a standard intact cow's milk protein-based formula (IPF).MethodsA double-blin
Externí odkaz:
https://doaj.org/article/5ba043b64d7e471aa5936faf194f9b69
Mitotic counts are one of the key indicators of breast cancer prognosis. However, accurate mitotic cell counting is still a difficult problem and is labourious. Automated methods have been proposed for this task, but are usually dependent on the trai
Externí odkaz:
http://arxiv.org/abs/2109.01085
AI improves accuracy, agreement and efficiency of pathologists for Ki67 assessments in breast cancer
Autor:
Amanda Dy, Ngoc-Nhu Jennifer Nguyen, Julien Meyer, Melanie Dawe, Wei Shi, Dimitri Androutsos, Anthony Fyles, Fei-Fei Liu, Susan Done, April Khademi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The Ki-67 proliferation index (PI) guides treatment decisions in breast cancer but suffers from poor inter-rater reproducibility. Although AI tools have been designed for Ki-67 assessment, their impact on pathologists' work remains understud
Externí odkaz:
https://doaj.org/article/f9b9e47961d24ef08c73f4a58d8c88d8