Results 41 to 50 of about 5,774 (216)
Early Impact of Childhood Opportunity on Neurocognitive Outcomes in Sickle Cell Disease
ABSTRACT Introduction Neurocognitive impairment is a well‐recognized complication of sickle cell disease (SCD) that begins early in childhood and persists across development. While cerebrovascular injury contributes substantially to risk, neurocognitive deficits are also observed in children without overt or silent cerebral infarctions, suggesting ...
Julia E. LaMotte +5 more
wiley +1 more source
Empowering Few-Shot Recommender Systems With Large Language Models-Enhanced Representations
Recommender systems utilizing explicit feedback have witnessed significant advancements and widespread applications over the past years. However, generating recommendations in few-shot scenarios remains a persistent challenge.
Zhoumeng Wang
doaj +1 more source
ABSTRACT Background Platinum‐based chemotherapy is known to cause severe and debilitating hearing loss, but unlike cisplatin, the true incidence of carboplatin‐induced hearing loss remains unclear. We evaluated functional hearing outcomes in children receiving carboplatin to determine the incidence and severity of ototoxicity. Procedure We identified a
Aniket Chawla +6 more
wiley +1 more source
ABSTRACT Objectives The association between exposure to dinutuximab beta (DB) and event‐free survival (EFS) or overall survival (OS) of neuroblastoma patients was assessed using data collected during three clinical trials (five cohorts). Methods A systematic review (March 2026) was conducted to identify relevant studies (prospective; registered DB ...
Przemysław Holko +19 more
wiley +1 more source
A Survey on the use of Federated Learning in Privacy-Preserving Recommender Systems
In the age of information overload, recommender systems have emerged as essential tools, assisting users in decision-making processes by offering personalized suggestions. However, their effectiveness is contingent on the availability of large amounts of
Christos Chronis +7 more
doaj +1 more source
An Obfuscated Attack Detection Approach for Collaborative Recommender Systems
In recent times, we have loads and loads of information available over the Internet. It has become very cumbersome to extract relevant information out of this huge amount of information available.
Saakshi Kapoor +2 more
doaj +1 more source
ABSTRACT Background Medication nonadherence during the first 100 days after pediatric hematopoietic stem cell transplantation (HSCT) and during oncology treatment increases risk for complications. BMT4me is a caregiver‐facing mobile health (mHealth) application providing medication reminders, symptom tracking, and note‐taking features to support ...
Micah A. Skeens +4 more
wiley +1 more source
Leveraging deep learning techniques on collaborative filtering recommender systems [PDF]
With the exponentially increasing volume of online data, searching and finding required information have become an extensive and time-consuming task. Recommender systems as a subclass of information retrieval and decision support systems by providing ...
Ali Fallahi Rahmat Abadi +1 more
doaj +1 more source
ABSTRACT Background Survival after relapse in pediatric acute myeloid leukemia (AML) remains poor, highlighting the critical importance of identifying prognostic factors to guide optimal relapse management. Methods We investigated the prognostic impact of multiparameter flow cytometry (MFC) measurable residual disease (MRD) in 188 patients with first ...
Camilla Poulsen +21 more
wiley +1 more source
ASSIST: Refinement of a Benefits Navigator Intervention Among Low‐Income Pediatric Oncology Families
ABSTRACT Background/Objectives Children with cancer living in poverty experience worse survival and quality of life. Interventions connecting low‐income families to benefits (e.g., Supplemental Nutrition Assistance Program [SNAP] improve health outcomes; yet nearly 50% of SNAP‐eligible pediatric oncology families are unenrolled.
Puja J. Umaretiya +11 more
wiley +1 more source

