Results 81 to 90 of about 1,544,095 (267)

Thematic insights into the impact of large language models on K-12 education in rural India from student volunteers’ perspectives

Scientific Reports
Artificial Intelligence (AI)–powered tools, particularly Large Language Models (LLMs), are increasingly being explored as catalysts for educational transformation.
Harshita Goyal, Garima Garg, Prisha Mordia, Veena Ramachandran, Dhruv Kumar, Jagat Sesh Challa   +5 more
doaj   +1 more source

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

Deep Learning-Based Artificial Neural Network For Predicting HIV/AIDS Risk Using Demographic Data in Medan City

Jurnal Sisfokom
Medan was one of the largest metropolitan areas in Indonesia, characterized by high population density and mobility, which increased the risk of the spread of infectious diseases, including HIV/AIDS.
Windania Purba, Risda Putri Greccella, Dendy Prasetyo, M Arief, Nimrot Saritua Marbun, Mutiara Adelia Afrita Purba   +5 more
doaj   +1 more source

Animal‐Assisted Activities With Therapy Dogs in Pediatric Oncology: A Multicenter Survey of the Current Status, Implementation, and Challenges in Germany, Austria, and Switzerland

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Animal‐assisted activities (AAAs) with therapy dogs have shown positive effects on patient well‐being and quality of life in various areas of medicine, including pediatric oncology. However, research on this topic is limited. The aim of this study is to present the current status of AAA in pediatric oncology in Germany, Austria, and
Jan‐Marius Wedig, Birgit Burkhardt, Christof M. Kramm, Kira Ostermann, Sarah C. Goretzki, Uta Dirksen, Nico Kurpiers, Michael M. Schündeln   +7 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

Effective k-nearest neighbor models for data classification enhancement

Journal of Big Data
Imbalanced class distributions and class overlaps are major problems that are often associated with the classifier’s decreased performance. To lessen their impact, the literature continues to introduce methods, including kNN extensions.
Ali A. Amer, Sri Devi Ravana, Riyaz Ahamed Ariyaluran Habeeb   +2 more
doaj   +1 more source

The Role of Chemotherapy in Pediatric Myoepithelial Carcinoma: A Systematic Review of the Literature

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Myoepithelial carcinoma (MEC) in pediatric patients is a rare and aggressive malignancy characterized by heterogeneous morphology and variable molecular features. The optimal role of chemotherapy remains unclear. We conducted a systematic review according to PRISMA 2020 guidelines to evaluate chemotherapy in pediatric and young‐adult patients ...
Marco Salvi, Maria Carmen Affinita, Giulia Fichera, Luisa Santoro, Angela Scagnellato, Calogero Virgone, Elena Poli, Gianni Bisogno   +7 more
wiley   +1 more source

An intelligent LinkNet-34 model with EfficientNetB7 encoder for semantic segmentation of brain tumor

Scientific Reports
A brain tumor is an unnatural expansion of brain cells that can’t be stopped, making it one of the deadliest diseases of the nervous system. The brain tumor segmentation for its earlier diagnosis is a difficult task in the field of medical image analysis.
Adel Sulaiman, Vatsala Anand, Sheifali Gupta, Mana Saleh Al Reshan, Hani Alshahrani, Asadullah Shaikh, M. A. Elmagzoub   +6 more
doaj   +1 more source

Determining Parental Factors for Clinical Trial Attrition in Pediatric Acute Lymphoblastic Leukemia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Despite high enrollment rates on Children's Oncology Group (COG) protocols, attrition after initial consent is challenging, introducing bias and prolonging trial completion. While adult oncology literature has identified predictors of withdrawal, little is known about caregiver decision‐making for child participation in ...
Kimberly L. Stathas, Jakob Q. Weiss, Kellee N. Parker, Cathy Lee‐Miller   +3 more
wiley   +1 more source

Assessing green area changes in Najran City, Saudi Arabia (2013–2022) using hybrid deep learning techniques

Open Geosciences
Advances in remote sensing technology have facilitated the assessment of land vegetation and agricultural development using satellite images. This study’s normalized difference vegetation index (NDVI) is vital in assessing vegetation coverage and ...
Ali Elham, Alshari Eman A., Shamsan Ahlam, Alqhatani Abdulmajeed, Al-Wagih Khalil, Olayah Fekry, Senan Ebrahim Mohammed, Aljubayri Mohammed   +7 more
doaj   +1 more source