Results 51 to 60 of about 31,329,977 (262)
Lancet Planetary Health, 2021 Summary Background Mosquito-borne diseases are expanding their range, and re-emerging in areas where they had subsided for decades. The extent to which climate change influences the transmission suitability and population at risk of mosquito-borne ...
Felipe J. Colón-González +7 more
semanticscholar +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Central nervous system (CNS) neuroblastoma, FOXR2‐activated, is a recently recognized entity in the WHO CNS5 classification, defined by activation of the FOXR2 transcription factor and unique histopathological features. This review synthesizes available literature and pooled clinical data, providing insight into demographics ...
Sudarshawn Damodharan +1 more
wiley +1 more source
Audit Program on Artificial Intelligence (AI)-driven Credit Risk Models [PDF]
Risk Management MagazineFrom an Internal Audit perspective, the integration of Artificial Intelligence (AI) into credit risk modelling through Machine Learning (ML) algorithms presents significant challenges due to the complexity and multidimensional nature of these models ...
Valeria Anna De Palma +4 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Acute lymphoblastic leukemia (ALL) is the most common pediatric cancer, with an overall survival now surpassing 90% in developed countries. However, treatments are not without adverse effects. In this study, we apply the severe toxicity‐free survival (STFS) framework to determine the prevalence of 21 physician‐defined severe ...
Lane Collier +10 more
wiley +1 more source
Non-Uniqueness of Best-Of Option Prices Under Basket Calibration
RisksThis paper demonstrates that perfectly calibrating a multi-asset model to observed market prices of all basket call options is insufficient to uniquely determine the price of a best-of call option.
Mohammed Ahnouch +2 more
doaj +1 more source
Assessing financial model risk [PDF]
European Journal of Operational Research, 2013 Model risk has a huge impact on any risk measurement procedure and its quantification is therefore a crucial step. In this paper, we introduce three quantitative measures of model risk when choosing a particular reference model within a given class: the absolute measure of model risk, the relative measure of model risk and the local measure of model ...
Pauline Barrieu, Giacomo Scandolo
openaire +4 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Type 1 plasminogen deficiency (PLGD‐1) is an ultra‐rare autosomal recessive disorder caused by variants in the PLG gene and affects approximately 1.6 individuals per million. The condition is characterized by decreased plasminogen levels and impaired function, resulting in fibrin‐rich lesions on mucous membranes throughout the body.
Charles Nakar +7 more
wiley +1 more source
Finite element analysis of cardiovascular stent frames: identifying appropriate mesh discretization
Frontiers in Medical EngineeringEngineers use finite element analysis (FEA) to predict the deformations, strains, stresses, and resistive forces of metallic stent frames under in vivo, in vitro, and manufacturing-induced loading conditions.
Brandon A. Lurie +5 more
doaj +1 more source
A proposed best practice model validation framework for banks
South African Journal of Economic and Management Sciences, 2017 Background: With the increasing use of complex quantitative models in applications throughout the financial world, model risk has become a major concern. The credit crisis of 2008–2009 provoked added concern about the use of models in finance.
Pieter J. (Riaan) de Jongh +4 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction The use of herbal medical preparation (HMP) is rising among pediatric oncology patients, often to manage treatment‐related symptoms. Their effectiveness remains uncertain, and the risk of herb–drug interactions is underestimated.
Orianne Mahot +6 more
wiley +1 more source