Results 51 to 60 of about 2,693,397 (282)

Personalized Selumetinib Dosing in Pediatric Neurofibromatosis Type 1: Insights From a Pilot Therapeutic Drug Monitoring Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács   +8 more
wiley   +1 more source

Neural Importance Sampling [PDF]

open access: yesACM Transactions on Graphics, 2019
We propose to use deep neural networks for generating samples in Monte Carlo integration. Our work is based on non-linear independent components estimation (NICE), which we extend in numerous ways to improve performance and enable its application to integration problems.
Thomas Müller   +4 more
openaire   +2 more sources

Fully Bayesian Experimental Design for Pharmacokinetic Studies

open access: yesEntropy, 2015
Utility functions in Bayesian experimental design are usually based on the posterior distribution. When the posterior is found by simulation, it must be sampled from for each future dataset drawn from the prior predictive distribution.
Elizabeth G. Ryan   +2 more
doaj   +1 more source

Stochastic Optimization with Importance Sampling [PDF]

open access: yes, 2015
Uniform sampling of training data has been commonly used in traditional stochastic optimization algorithms such as Proximal Stochastic Gradient Descent (prox-SGD) and Proximal Stochastic Dual Coordinate Ascent (prox-SDCA).
Zhang, Tong, Zhao, Peilin
core  

Adherence to Protocol Recommendations for Children With Wilms Tumour in Two Consecutive Studies in the United Kingdom and Ireland—Does Variation Matter?

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background and Aims Wilms tumour (WT) has excellent event‐free and overall survival (OS). However, small differences exist between countries participating in the same international study. This led us to examine variation in adherence to protocol recommendations as a potential contributing factor.
Suzanne Tugnait   +23 more
wiley   +1 more source

Robust Covariance Adaptation in Adaptive Importance Sampling

open access: yes, 2018
Importance sampling (IS) is a Monte Carlo methodology that allows for approximation of a target distribution using weighted samples generated from another proposal distribution.
Bugallo, Monica F.   +2 more
core   +1 more source

Evaluating the Utility of Paired Tumor and Germline Targeted DNA Sequencing for Pediatric Oncology Patients: A Single Institution Report

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski   +9 more
wiley   +1 more source

Preferences of Pediatric Patients and Their Caregivers for Chemotherapy‐Induced Nausea and Vomiting Control Endpoints: A Mixed Methods Study

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Although not always achieved, complete chemotherapy‐induced nausea and vomiting (CINV) control is the conventional goal of CINV prophylaxis. In this two‐center, mixed‐methods study, we sought to understand the preferences of adolescent patients and family caregivers for CINV control endpoints.
Haley Newman   +8 more
wiley   +1 more source

Importance Sampling for Backward SDEs [PDF]

open access: yesStochastic Analysis and Applications, 2010
In this article, we explain how the importance sampling technique can be generalized from simulating expectations to computing the initial value of backward stochastic differential equations (SDEs) with Lipschitz continuous driver. By means of a measure transformation we introduce a variance reduced version of the forward approximation scheme by Bender
Bender, Christian, Moseler, Thilo
openaire   +4 more sources

Cubature Information SMC-PHD for Multi-Target Tracking

open access: yesSensors, 2016
In multi-target tracking, the key problem lies in estimating the number and states of individual targets, in which the challenge is the time-varying multi-target numbers and states.
Zhe Liu, Zulin Wang, Mai Xu
doaj   +1 more source

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