Results 51 to 60 of about 65,280 (255)

Clinical and Genetic Factors Associated With Regression in Children With Autism Spectrum Disorders

Autism Research, EarlyView.
ABSTRACT Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental condition with complex genetic and environmental underpinnings. A clinically significant subset of children with ASD experience developmental regression (regASD), characterized by the acute loss of previously acquired skills. The mechanisms, predictors, and molecular basis of
Anna Maruani, Emma Delclaud, Paul Bruzeau, Richard Delorme, Anne‐Claude Tabet, Valérie Vantalon, Jonathan Levy, Pierre Ellul   +7 more
wiley   +1 more source

IMPACT OF HIGH-RISK CYTOGENETICS ON THE SURVIVAL OF NON-APL ACUTE MYELOID LEUKEMIA PATIENTS

Hematology, Transfusion and Cell Therapy
Acute myeloid leukemia (AML) is a hematologic malignancy characterized by the rapid proliferation of abnormal myeloid cells in the bone marrow and peripheral blood.
FMCP Pessoa, DS Oliveira, IV Barreto, AKC Machado, BMD Nogueira, CB Machado, RM Ribeiro, MOM Filho, MEA Moraes, CA Moreira-Nunes   +9 more
doaj   +1 more source

A targeted next‐generation sequencing in the molecular risk stratification of adult acute myeloid leukemia: implications for clinical practice

Cancer Medicine, 2017
Conventional cytogenetics can categorize patients with acute myeloid leukemia (AML) into favorable, intermediate, and unfavorable‐risk groups; however, patients with intermediate‐risk cytogenetics represent the major population with variable outcomes ...
Po‐Han Lin, Huei‐Ying Li, Sheng‐Chih Fan, Tzu‐Hang Yuan, Ming Chen, Yu‐Hua Hsu, Yu‐Hsuan Yang, Long‐Yuan Li, Su‐Peng Yeh, Li‐Yuan Bai, Yu‐Min Liao, Chen‐Yuan Lin, Ching‐Yun Hsieh, Ching‐Chan Lin, Che‐Hung Lin, Ming‐Yu Lien, Tzu‐Ting Chen, Yen‐Hsuan Ni, Chang‐Fang Chiu   +18 more
doaj   +1 more source

Circulating monocyte partitioning and its alteration in hematological chronic neoplasms

Cytometry Part B: Clinical Cytometry, EarlyView.
Abstract Circulating monocyte partitioning refers to the relative quantification of the three main monocyte subsets in the peripheral blood, namely classical (cMo), intermediate (iMo), and non‐classical (ncMo) monocytes, as assessed by flow cytometry, a new nomenclature described 15 years ago.
Sihem Tarfi, Dorothée Selimoglu‐Buet, Ivan Sloma, Orianne Wagner‐Ballon, on behalf of the French group CytHem‐LMMC   +4 more
wiley   +1 more source

Circulating tumor plasma cells quantification in newly diagnosed transplant ineligible real world multiple myeloma patients: Comparison of single‐platform flow cytometry versus next generation flow

Cytometry Part B: Clinical Cytometry, EarlyView.
Abstract Circulating tumor plasma cells (CTCs) at diagnosis are independent prognostic markers in newly diagnosed multiple myeloma (NDMM). Flow cytometry (FC) enables sensitive and cost‐effective CTC quantification, but prognostic cut‐offs vary across studies.
Elona Saraci, Alessandra Larocca, Roberto Ria, Silvia Mangiacavalli, Giulia Benevolo, Nicola Giuliani, Renato Zambello, Angelo Belotti, Ilaria Rizzello, Antonietta Pia Falcone, Iolanda Donatella Vincelli, Mariagrazia Michieli, Sonia Ronconi, Patrizia Tosi, Maria letizia Mosca Siez, Alessandro Allegra, Maide Maria Cavalli, Matilde Scaldaferri, Ilaria Fedele, Marco Burdisso, Tania Villanova, Cristina Velluti, Marcello Capriata, Donato Mannina, Anna Maria Cafro, Elisabetta Antonioli, Sonia Morè, Mario Boccadoro, Benedetto Bruno, Sara Bringhen, Mattia D'Agostino   +30 more
wiley   +1 more source

23rd International Colloquium on Animal Cytogenetics and Genomics (23 ICACG) June 9–12, 2018, Saint-Petersburg, Russia

Comparative Cytogenetics, 2018
In memory of Ingemar Gustavsson 23rd International Colloquium on Animal Cytogenetics and Genomics (23 ICACG) took place in June 9–12, 2018 in Saint-Petersburg, Russia. Organized biennially, the Colloquium runs from 1970.
Svetlana Galkina, Maria Vishnevskaya
doaj   +3 more sources

Old data, new tricks: Comprehensive computational analysis of 10 years of multi‐center EuroFlow acute myeloid leukemia diagnostic immunophenotypic data

Cytometry Part B: Clinical Cytometry, EarlyView.
Abstract Acute myeloid leukemia (AML) is characterized by high genotypic and immunophenotypic heterogeneity. We collected an extensive dataset containing 5366 flow cytometry files from 885 AML patients, stained with the EuroFlow acute leukemia orientation tube (ALOT) and AML/MDS panel, acquired in a standardized way at eight centers over a period of 10 
Sarah Bonte, Rosan Olsman, Sofie Van Gassen, Sergio Matarraz, Neus Villamor, Stefan Nierkens, Paula Fernandez, Elaine Sobral da Costa, Carmen‐Mariana Aanei, Alberto Orfao, Jacques J. M. van Dongen, Yvan Saeys, Mattias Hofmans, Vincent H. J. van der Velden   +13 more
wiley   +1 more source

Novel genetic association of the Furin gene polymorphism rs1981458 with COVID-19 severity among Indian populations

Scientific Reports
SARS CoV-2, the causative agent for the ongoing COVID-19 pandemic, it enters the host cell by activating the ACE2 receptor with the help of two proteasesi.e., Furin and TMPRSS2.
Rudra Kumar Pandey, Anshika Srivastava, Rahul Kumar Mishra, Prajjval Pratap Singh, Gyaneshwer Chaubey   +4 more
doaj   +1 more source

Nanotechnology and molecular cytogenetics: the future has not yet arrived [PDF]

, 2010
Quantum dots (QDs) are a novel class of inorganic fluorochromes composed of nanometer-scale crystals made of a semiconductor material. They are resistant to photo-bleaching, have narrow excitation and emission wavelengths that can be controlled by ...
Ioannou, Dimitris, Griffin, Darren K.
core   +1 more source

Artificial Intelligence in Ophthalmology: From Methodological Advances to Clinical Translation and Future Directions

Eye &ENT Research, EarlyView.
ABSTRACT Artificial intelligence (AI) is reshaping ophthalmology from task‐specific image analysis toward multimodal, longitudinal, and clinically integrated decision support. This narrative review summarizes the methodological evolution of ophthalmic AI, including traditional machine learning, task‐specific deep learning, self‐supervised learning ...
Yuxin Liu, Hanruo Liu
wiley   +1 more source