Results 61 to 70 of about 1,821 (211)

Childhood Acute Lymphoblastic Leukemia Survival in Western Kenya: Reduction in Early Deaths and Treatment Abandonment

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background An earlier study on children diagnosed with acute lymphoblastic leukemia (ALL) at Moi Teaching and Referral Hospital (MTRH) in Kenya reported a low event‐free survival (EFS), excess treatment abandonment, and high induction mortality.
Gilbert Olbara   +7 more
wiley   +1 more source

Path Tracking Control for Active Rear Steering Vehicles Considering Driver Steering Characteristics

open access: yesIEEE Access, 2020
In this paper, a path tracking control for active rear steering vehicles considering driver steering characteristics is proposed to help drivers track the desired vehicle trajectory in a tailored way.
Han Zhang, Bo Heng, Wanzhong Zhao
doaj   +1 more source

An [Imperfect] Case for Dyadic Research in Pediatric Psychosocial Oncology

open access: yes
Pediatric Blood &Cancer, EarlyView.
Stephanie M. Nanos   +2 more
wiley   +1 more source

ASSIST: Refinement of a Benefits Navigator Intervention Among Low‐Income Pediatric Oncology Families

open access: yesPediatric Blood &Cancer, EarlyView.
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

Module Analysis Captures Pancancer Genetically and Epigenetically Deregulated Cancer Driver Genes for Smoking and Antiviral Response

open access: yesEBioMedicine, 2018
The availability of increasing volumes of multi-omics profiles across many cancers promises to improve our understanding of the regulatory mechanisms underlying cancer.
Magali Champion   +5 more
doaj   +1 more source

Driver and Passenger Identification From Smartphone Data [PDF]

open access: yesIEEE Transactions on Intelligent Transportation Systems, 2019
The objective of this paper is twofold. First, it presents a brief overview of existing driver and passenger identification or recognition approaches, which rely on smartphone data. This includes listing the typically available sensory measurements and highlighting a few key practical considerations for automotive settings.
Bashar I. Ahmad   +5 more
openaire   +2 more sources

Misperception of Body Weight After Childhood Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Misperception of body weight can negatively impact the weight management efforts of childhood cancer survivors (CCSs). Both being overweight or underweight are associated with chronic health conditions commonly observed in CCS; therefore, accurate weight perception is critical for reducing long‐term health risks.
Fabiën N. Belle   +8 more
wiley   +1 more source

Clinical, Histopathological, and Molecular Characterization of Pediatric MN1::ZNF341‐Associated Cancer

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT A lethal round‐cell malignancy with an MN1::ZNF341 fusion has recently been reported in three infants. Here, we describe four further tumors, three in newborns (including monozygotic twins), and one in an adolescent. Detailed clinical, radiological, and histopathological data differentiate these tumors from their main mimics, neuroblastoma and
Thomas R. W. Oliver   +25 more
wiley   +1 more source

Bridging the Gap in Neuroblastoma Care: Consensus‐Based Statements With Recommendations for Improved Patient and Caregiver Experiences

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Neuroblastoma's complex, heterogeneous biology poses significant diagnostic and therapeutic challenges, often requiring caregivers to absorb complex information and participate in time‐sensitive decisions. However, caregivers often feel unprepared to evaluate options.
Vickie Buenger   +8 more
wiley   +1 more source

Combining Unsupervised Anomaly Detection and Neural Networks for Driver Identification

open access: yesJournal of Advanced Transportation, 2017
This paper proposes an algorithm for real-time driver identification using the combination of unsupervised anomaly detection and neural networks. The proposed algorithm uses nonphysiological signals as input, namely, driving behavior signals from ...
Thitaree Tanprasert   +2 more
doaj   +1 more source

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