Results 141 to 150 of about 443,911 (293)

Classification with binary gene expressions [PDF]

, 2009
Microarray gene expression measurements are reported, used and archived usually to high numerical precision. However, properties of mRNA molecules, such as their low stability and availability in small copy numbers, and the fact that measurements ...
Tuna, Salih, Niranjan, Mahesan, Mahesan Niranjan, Salih Tuna   +3 more
core  

Automated detection of freeze-thaw signatures in archaeological sediments using deep learning [version 2; peer review: 1 approved, 2 approved with reservations]

Open Research Europe
Background Freeze-thaw processes leave diagnostic traces in archaeological soils and sediments that are central to reconstructing past climates and understanding hominin adaptations to glacial environments.
Li Li, Sofia Kouki, Vera Aldeias
doaj   +1 more source

Improvement of Sickle Cell Disease Care Mitigates the Healthcare Utilization Induced by Increased Prevalence: Experience of a Tertiary Pediatric Center

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Sickle cell disease (SCD) has undergone major changes in the last decades. Its prevalence has been steadily increasing and numerous advances have been made in the management of the disease. However, the effect in real‐life setting of these major changes is unknown, particularly in a Canadian environment. Procedure We aimed to assess
Maude Cigna, Alexia Muresan, Estelle Lecluze, Karine Leduc, Nathalie Fournier, Maria Tamer, Jean‐François Delisle, Jeremi Charbonneau, Annie Viau, Jessica Darilus, Marie‐Joëlle Doré‐Bergeron, Valérie Arsenault, Evelyne Doyon‐Trottier, Stéphanie Forte, Nancy Robitaille, Yves Pastore, Thomas Pincez   +16 more
wiley   +1 more source

Time to Diagnosis Among Children and Adolescents With Cancer in Québec, Canada: A Population‐Based Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Timely cancer diagnosis in children and adolescents is important to improving outcomes. We aimed to quantify time to diagnosis and assess variations by patient, demographic and system‐level factors. Procedure We conducted a population‐based study of individuals aged 0–19 years diagnosed with one of 12 cancers from 2010 to 2022 in ...
Callum Mullen, Ronald D. Barr, Erin Strumpf, Mariam El‐Zein, Eduardo L. Franco, Talía Malagón   +5 more
wiley   +1 more source

Change in Mental Health and Resilience in Childhood Cancer Survivors After Attending a Person‐Centred State‐of‐the‐Art Late Effects Clinic—on Behalf of the PanCareFollowUp Consortium

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Person‐centred follow‐up care based on evidence‐based clinical practice guidelines and providing individualised information should help to inform and reassure survivors about their medical and psychosocial situation and provide treatment and support where needed.
Gisela Michel, Mieke Rijken, Marietta Kokla, Charlotte Sleurs, Jurgen Lemiere, Line Elmerdahl Frederiksen, Luzius Mader, Cecilia Follin, Sara Oberti, Jeanette Falck Winther, Selina R. van den Oever, Leontien C. M. Kremer, Helena J. H. van der Pal, Peter Spreeuwenberg, Eline Bouwman, Jeroen te Dorsthorst, Samira Essiaf, Elizabeth A. M. (Lieke) Feijen, Hannah Gsell, Riccardo Haupt, Maria van Helvoirt, Rosella P. M. G. Hermens, Lars Hjorth, Tomas Kepak, Katerina Kepakova, Anita Kienesberger, Monica Muraca, Marleen Renard, Carina Schneider, Roderick Skinner, Anne Uyttebroeck, Deveny Vanrusselt, Sabine Verschueren, Jacqueline Loonen, Saskia M. F. Pluijm, Katharina Roser, the PanCareFollowUp consortium   +36 more
wiley   +1 more source

Automatic detection, classification, and segmentation of sagittal MR images for diagnosing prolapsed lumbar intervertebral disc

Scientific Reports
Magnetic resonance (MR) images are commonly used to diagnose prolapsed lumbar intervertebral disc (PLID). However, for a computer-aided diagnostic (CAD) system, distinguishing between pathological abnormalities of PLID in MR images is a challenging and ...
Md. Abu Sayed, G. M. Mahmudur Rahman, Md. Sherajul Islam, Md. Alimul Islam, Jeongwon Park, Hasan Ahmed, Akram Hossain, Rahat Shahrior   +7 more
doaj   +1 more source

Impact of Japan's 2024 Physician Work‐Style Reform on Pediatric Hematology–Oncology: Educational Implications in a 2‐Year Survey

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Japan's 2024 physician work‐style reform introduced legally binding limits on physicians’ working hours, but its impact on education and workforce sustainability in pediatric hematology–oncology (PHO) remains unclear. Procedure We conducted a repeated cross‐sectional study with structured quantitative items and free‐text responses ...
Kiyohiko Kaizu, Masaharu Akiyama, Toshikazu Itabashi, Jun Hayakawa, Takahiro Kikuchi, Ryohei Fukunaga, Katsuyoshi Koh, Takahiro Ueda   +7 more
wiley   +1 more source

Infant Embryonal CNS Tumors: Molecular Insights and Treatment Considerations for Contemporary Pediatric Neuro‐Oncology

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Embryonal tumors comprise the majority of malignant central nervous system (CNS) neoplasms diagnosed in children under 3 years of age. Compared with their counterparts in older children, these tumors exhibit distinct molecular biology and a more aggressive clinical phenotype, while their management is complicated by the heightened ...
Sudarshawn Damodharan, Mariah Wright‐Nadkarni, Mohamed S. Abdelbaki, Girish Dhall   +3 more
wiley   +1 more source

Effectiveness of Resistance Intradialytic Exercise Compared to Aerobic Intradialytic Exercise for Patients With Chronic Kidney Disease: A Randomized Controlled Clinical Trial

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida, Gisela Cristiane Miyamoto, Daniel da Costa Torres, Ian Setubal Reis Chaves, Jonas do Carmo Paschoalin, Braúlio Lima Nascimento, Luciana Dias Chiavegato   +6 more
wiley   +1 more source

A transfer learning–based approach for automated bone fracture classification in X-ray imaging

Therapeutic Advances in Musculoskeletal Disease
Background: Bone fractures present a significant diagnostic challenge in medical imaging, necessitating accurate and automated classification methods.
Ruchika Bhuria, Sheifali Gupta, Rania M. Ghoniem, Jaibir Singh, Suman Rani, Belayneh Matebie Taye, Salil Bharany   +6 more
doaj   +1 more source