Results 71 to 80 of about 708,374 (219)

Statistical Redundancy Testing for Improved Gene Selection in Cancer Classification Using Microarray Data

Cancer Informatics, 2007
In gene selection for cancer classifi cation using microarray data, we define an eigenvalue-ratio statistic to measure a gene’s contribution to the joint discriminability when this gene is included into a set of genes.
J. Sunil Rao, Simin Hu
doaj  

Development and Implementation of a Disease‐Targeted Storybook as a Clinical Tool for Children With Acute Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Although significant progress has been made in childhood leukemia survival, healthcare providers, and caregivers often face challenges in explaining this disease to patients. Disease‐targeted storybooks have been proposed as a tool to facilitate the understanding of diagnoses and treatment.
Nutvipha Ummartyotin, Usanarat Anurathapan, Rawiwan Roongpraiwan, Potchanee Dandamrongrak, Siriporn Nakhonchai, Pawin Numthavaj, Vilawan Chirdkiatgumchai   +6 more
wiley   +1 more source

Infantile Central Nervous System Juvenile Xanthogranuloma With Somatic CSF1R Mutation Responsive to Imatinib Monotherapy

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Juvenile xanthogranuloma (JXG) of the central nervous system (CNS) is a rare non‐Langerhans cell histiocytosis. CSF1R mutations have been reported for peripheral JXG, but not in CNS JXG. A 3‐month‐old male presented with fever, lymphadenopathy, and macrocephaly with bulging fontanelles.
Sima Vazquez, Kayla Etienne, Long Di, Valerie Martinez‐Torres, Andrew Rosenberg, Sakir H. Gultekin, Aditi Dhir, Bradley Gampel, Heather J. McCrea   +8 more
wiley   +1 more source

On Hierarchical Composite Endpoints in Pediatric Cancer Supportive Care: Illustrative Examples From Two Multi‐Center Phase‐III Randomized Clinical Trials

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric supportive care clinical trials often involve multiple clinically important outcomes, complicating trial interpretation. Hierarchical composite endpoints (HCEs) provide a framework to integrate key outcomes according to clinical importance.
Willem H. Collier, Mark Zobeck, Adam J. Esbenshade, Christopher C. Dvorak, Lillian Sung, David Freyer, Sarah Alexander, Etan Orgel, Nicole J. Ullrich, Zach Prudowsky, Brian Fisher, Caitlin W. Elgarten   +11 more
wiley   +1 more source

A Population‐Based Study on Childhood Aplastic Anemia—Incidence, Outcomes, and Health‐Related Quality of Life

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Childhood aplastic anemia (AA) is a rare disease, and both the disease itself and its treatment cause significant morbidity. We aimed to determine the contemporary incidence of childhood AA in Finland, to compare the clinical characteristics of AA against inherited bone marrow failure syndromes (IBMFS) and refractory cytopenia of ...
Lauri‐Matti Kulmala, Riitta Niinimäki, Tytti Pokka, Anu Huurre, Liisa Järvelä, Sauli Palmu, Tuuli Pöyhönen, Pauliina Utriainen, Henri Aarnivala   +8 more
wiley   +1 more source

Nephrogenic Rests/Nephroblastomatosis in Patients With Unilateral Wilms Tumor Are Not Associated With an Increased Risk of Relapse: An Analysis of Patients Treated on the SIOP‐WT‐2001 Protocol in the SIOP‐UK‐CCLG and SIOP‐GPOH Studies (2001–2022)

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Nephrogenic rests (NRs) and nephroblastomatosis (NBM) are precursor lesions for development of Wilms tumor (WT). Their association with the risk of relapse has not been properly assessed, partly due to misunderstanding of their diagnostic criteria and terminology.
Gordan M. Vujanić, Rhoikos Furtwängler, Tanzina Chowdhury, Christian Vokuhl, Jenny Wegert, Norbert Graf   +5 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

Evaluating the Nuclear Reaction Optimization (NRO) Algorithm for Gene Selection in Cancer Classification

Diagnostics
Background/Objectives: Cancer classification using microarray datasets presents a significant challenge due to their extremely high dimensionality. This complexity necessitates advanced optimization methods for effective gene selection.
Shahad Alkamli, Hala Alshamlan
doaj   +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

Navigating the microarray landscape: a comprehensive review of feature selection techniques and their applications

Frontiers in Big Data
This review systematically summarizes recent advances in microarray feature selection techniques and their applications in biomedical research. It addresses the challenges posed by the high dimensionality and noise of microarray data, aiming to integrate
Fangling Wang, Azlan Mohd Zain, Yanjie Ren, Mahadi Bahari, Azurah A. Samah, Zuraini Binti Ali Shah, Norfadzlan Bin Yusup, Rozita Abdul Jalil, Azizah Mohamad, Nurulhuda Firdaus Mohd Azmi   +9 more
doaj   +1 more source