Results 11 to 20 of about 478,042 (312)

COVID-19 infection in adult patients with hematological malignancies: a European Hematology Association Survey (EPICOVIDEHA)

Journal of Hematology and Oncology, 2021
Background Patients with hematological malignancies (HM) are at high risk of mortality from SARS-CoV-2 disease 2019 (COVID-19). A better understanding of risk factors for adverse outcomes may improve clinical management in these patients.
Ali S Omrani, Alessandro Busca, Josip Batinic   +2 more
exaly   +2 more sources

Breakthroughs in hematology [PDF]

Thalassemia Reports, 2013
Hematology is a comprehensive discipline covering all oncological and non-oncological aspects of diseases of the blood or related organs. Hematological researchers have been pivotal in the progress which has been made in molecular diagnostics, targeted ...
Ulrich Jäger
doaj   +2 more sources

Comparative hematology [PDF]

Veterinary Quarterly, 2017
J. H. (Han) van der Kolk
doaj   +4 more sources

American Society of Hematology 2023 guidelines for management of venous thromboembolism: thrombophilia testing

Blood Advances, 2023
Background Hereditary and acquired thrombophilia are risk factors for venous thromboembolism (VTE). Whether testing helps guide management decisions is controversial. Objective These evidence-based guidelines from the American Society of Hematology (ASH)
S. Middeldorp, R. Nieuwlaat, L. Baumann Kreuziger, M. Coppens, D. Houghton, A. James, E. Lang, S. Moll, Tarra Myers, Meha Bhatt, C. Chai-Adisaksopha, L. Colunga-Lozano, Samer G. Karam, Yuan Zhang, W. Wiercioch, H. Schünemann, A. Iorio   +16 more
semanticscholar   +1 more source

American Society of Hematology 2021 guidelines for management of venous thromboembolism: prevention and treatment in patients with cancer.

Blood Advances, 2021
BACKGROUND Venous thromboembolism (VTE) is a common complication among patients with cancer. Patients with cancer and VTE are at a markedly increased risk for morbidity and mortality. OBJECTIVE These evidence-based guidelines of the American Society of
G. Lyman, M. Carrier, C. Ay, M. Di Nisio, L. Hicks, A. Khorana, A. Leavitt, Agnes Y. Y. Lee, F. Macbeth, R. Morgan, S. Noble, E. A. Sexton, D. Stenehjem, W. Wiercioch, Lara A. Kahale, P. Alonso-Coello   +15 more
semanticscholar   +1 more source

American Society of Hematology 2021 guidelines on the use of anticoagulation for thromboprophylaxis in patients with COVID-19

Blood Advances, 2021
Background: Coronavirus disease 2019 (COVID-19)–related critical illness and acute illness are associated with a risk of venous thromboembolism (VTE). Objective: These evidence-based guidelines of the American Society of Hematology (ASH) are intended to ...
A. Cuker, E. Tseng, R. Nieuwlaat, P. Angchaisuksiri, C. Blair, Kathryn E. Dane, Jennifer Davila, M. Desancho, D. Diuguid, D. Griffin, S. Kahn, F. Klok, A. Lee, I. Neumann, A. Pai, M. Pai, M. Righini, Kristen M. Sanfilippo, D. Siegal, M. Skara, Kamshad Touri, Elie A. Akl, Imad Bou Akl, M. Boulos, R. Brignardello-Petersen, R. Charide, M. Chan, K. Dearness, A. Darzi, Philipp Kolb, L. Colunga-Lozano, Razan Mansour, G. P. Morgano, R. Morsi, Atefeh Noori, Thomas Piggott, Yuan Qiu, Y. Roldan, F. Schünemann, A. Stevens, K. Solo, M. Ventresca, W. Wiercioch, R. Mustafa, H. Schünemann   +44 more
semanticscholar   +1 more source

Acknowledgment to the Reviewers of Hematology Reports in 2022

Hematology Reports, 2023
High-quality academic publishing is built on rigorous peer review [...]
Hematology Reports Editorial Office
doaj   +1 more source

Synthetic Data Generation by Artificial Intelligence to Accelerate Research and Precision Medicine in Hematology

JCO Clinical Cancer Informatics, 2023
PURPOSE Synthetic data are artificial data generated without including any real patient information by an algorithm trained to learn the characteristics of a real source data set and became widely used to accelerate research in life sciences. We aimed to
S. D'amico, Daniele Dall’Olio, C. Sala, Lorenzo Dall'olio, Elisabetta Sauta, Matteo Zampini, G. Asti, L. Lanino, G. Maggioni, Alessia Campagna, M. Ubezio, Antonio Russo, M. Bicchieri, E. Riva, C. Tentori, E. Travaglino, Pierandrea Morandini, V. Savevski, A. Santoro, Iñigo Prada-Luengo, A. Krogh, V. Santini, S. Kordasti, U. Platzbecker, M. Díez-Campelo, P. Fenaux, T. Haferlach, G. Castellani, M. D. Della Porta   +28 more
semanticscholar   +1 more source

American Society of Hematology 2020 guidelines for management of venous thromboembolism: treatment of deep vein thrombosis and pulmonary embolism.

Blood Advances, 2020
BACKGROUND Venous thromboembolism (VTE), which includes deep vein thrombosis (DVT) and pulmonary embolism (PE), occurs in ∼1 to 2 individuals per 1000 each year, corresponding to ∼300 000 to 600 000 events in the United States annually. OBJECTIVE These
T. Ortel, I. Neumann, W. Ageno, R. Beyth, N. Clark, A. Cuker, B. Hutten, M. Jaff, Veena Manja, S. Schulman, Caitlin Thurston, S. Vedantham, P. Verhamme, D. Witt, Ivan D. Florez, A. Izcovich, R. Nieuwlaat, Stephanie A Ross, Holger J. Schünemann, W. Wiercioch, Yuan Zhang, Yuqing Zhang   +21 more
semanticscholar   +1 more source

Large Language Models in Hematology Case Solving: A Comparative Study of ChatGPT-3.5, Google Bard, and Microsoft Bing

Cureus, 2023
Background Large language models (LLMs), such as ChatGPT-3.5, Google Bard, and Microsoft Bing, have shown promising capabilities in various natural language processing (NLP) tasks.
Amita Kumari, Anita Kumari, Amita Singh, S. Singh, Ayesha Juhi, A. Dhanvijay, M. Pinjar, Himel Mondal   +7 more
semanticscholar   +1 more source