Results 121 to 130 of about 443,911 (293)

Natural Killer Cells in Paediatric Soft Tissue Sarcomas: A Systematic Review

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Paediatric soft tissue sarcomas (pSTS) are a rare and heterogeneous group of malignant tumours arising in tissues of mesenchymal origin. The role of natural killer (NK) cells in pSTS remains poorly understood, with evidence fragmented across small preclinical studies and early‐phase clinical trials.
Raya Dean, Lara V. Graham, Christina Putnam, Rosa Gomes Alves Martins, Daniel T. Harding, Tim J. Underwood, Zoë S. Walters, Matthew D. Blunt   +7 more
wiley   +1 more source

A deep learning approach for acoustic-based identification of muscle tension dysphonia and spasmodic dysphonia

Frontiers in Digital Health
ProblemDifferentiating between spasmodic dysphonia (SD), a neurological disorder, and muscle tension dysphonia (MTD), a behavioral voice disorder, based on auditory perception alone is a common clinical challenge.
Zhou Zhou, Zhou Zhou, Yuan Cheng, Yuan Cheng, Yuan Cheng, Qingyi Ren, Yike Li, Xu Yuanyue, Jing Kang, Cheng Lu, Cheng Lu, Cheng Lu, Pingjiang Ge   +12 more
doaj   +1 more source

Mapping Childhood Cancer Care Services in Oceania: Methodological Lessons From the SIOP Global Mapping Programme

Pediatric Blood &Cancer, EarlyView.
ABSTRACT The International Paediatric Oncology Society Global Mapping Programme aims to collect data on global paediatric oncology services by continent, with Africa and Latin America completed. This study reports on the methodology and lessons learned for Oceania, a unique continent with resource disparity across countries, multiple small island ...
Trisha Soosay Raj, Christy Noble, Amy Gray, Daniel C. Moreira, Jennifer Lowe, Maite Gorostegui, Gwenda Anga, Andrew Soma, Milena Lay Dos Santos, Siobhan Cross, Erin Luttrell, Michael Sullivan, Julie Cayrol, Julia Challinor, Neil Ranasinghe, Jordana McLoone, Claire E. Wakefield   +16 more
wiley   +1 more source

Neural network classification techniques for diagnostic problems [PDF]

, 1995
Neural networks have been widely used in general classification tasks. They have the advantages of being flexible and tolerant to noisy and incomplete data.
Lau, Ho-ching
core  

Histological validation of a type 1 diabetes clinical diagnostic model for classification of diabetes [PDF]

, 2020
Aims: Misclassification of diabetes is common due to an overlap in the clinical features of type 1 and type 2 diabetes. Combined diagnostic models incorporating clinical and biomarker information have recently been developed that can aid classification ...
A Posgai (21881504), SJ Richardson (659429), AL Lynam (21917807), CS Flaxman (21922574), BM Shields (7655267), S Chamala (21922571), SA Sharp (21883175), LM Jacobsen (7780565), CH Wasserfall (21881501), LA Ferrat (21879524), ALJ Carr (21922568), AG Jones (16137233), TM Brusko (21881510), RA Oram (21826361), I Kusmartseva (21922580), MA Atkinson (13898283), DA Schatz (15868286), DJ Perry (21881498), ML Campbell-Thompson (21922577), ML Beery (13898280)   +19 more
core  

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

Automated Classification of Lymphoma Subtypes From Histopathological Images Using a U-Net Deep Learning Model: Comparative Evaluation Study

JMIR Medical Informatics
BackgroundAccurate classification and grading of lymphoma subtypes are essential for treatment planning. Traditional diagnostic methods face challenges of subjectivity and inefficiency, highlighting the need for automated solutions based on deep learning
Jin Zhao, Xiaolian Wen, Li Ma, Liping Su
doaj   +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

Statistical Inference for Diagnostic Classification Models

, 2013
Diagnostic classification models (DCM) are an important recent development in educational and psychological testing. Instead of an overall test score, a diagnostic test provides each subject with a profile detailing the concepts and skills (often called "attributes") that he/she has mastered. Central to many DCMs is the so-called Q-matrix, an incidence
openaire   +2 more sources

Clinical validation of a proposed diagnostic classification for pulpitis [PDF]

AimDetermine the reliability and clinical validity of the Wolters classification of pulpitis.MethodologyProspective diagnostic accuracy study in which patients with pulpitis were included.
Karrar, R. N., Elfiel, S. Y., Craig, S. G.; id_orcid, Abushouk, S. A., Duncan, H. F., Lundy, F. T., Clarke, M.; id_orcid, El-Karim, I. A.; id_orcid   +7 more
core   +1 more source