Results 91 to 100 of about 140,474 (248)
Molecular Oncology, EarlyView.Dormant cancer cells can hide in distant organs for years, evading treatment and the immune system. This review highlights how signals from the surrounding tissue and immune environment keep these cells inactive or trigger their reawakening. Understanding these mechanisms may help develop therapies to eliminate or control dormant cells and prevent ...
Kanishka Tiwary +1 more
wiley +1 more source
An information theoretic characterisation of auditory encoding. [PDF]
, 2007 The entropy metric derived from information theory provides a means to quantify the amount of information transmitted in acoustic streams like speech or music.
Overath, T. +26 more
core +1 more source
AISLEX: Approximate individual sample learning entropy with JAX
SoftwareXWe present AISLEX, an online anomaly detection module based on the Learning Entropy algorithm, a novel machine learning-based information measure that quantifies the learning effort of neural networks.
Ondrej Budik +3 more
doaj +1 more source
Molecular Oncology, EarlyView.Radiotherapy (RT) response depends on the DNA repair capacity of tumor and host cells. We show that circulating tumor cell (CTC) counts and apoptosis rates before and after RT predict treatment response and outcome, which can be accessed via easily accessible liquid biopsy approaches. Created in BioRender. Wikman, H.
Yvonne Goy +10 more
wiley +1 more source
, 2008 Characterization of sample entropy in the context of biomedical signal analysishttps://laboratoriosvirtuales.upv.es/eslabon/sampen_demoMicó Tormos, P. (2008). Sample entropy.
Micó Tormos, Pau
core
Molecular Oncology, EarlyView.This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska +13 more
wiley +1 more source
A Strategy to Reduce Bias of Entropy Estimates in Resting-State fMRI Signals
Frontiers in Neuroscience, 2018 Complexity analysis of resting-state blood oxygen level-dependent (BOLD) signals using entropy methods has attracted considerable attention. However, investigation on the bias of entropy estimates in resting-state functional magnetic resonance imaging ...
Albert C. Yang +5 more
doaj +1 more source
Molecular Oncology, EarlyView.Combining osimertinib with the STING agonist ADU‐S100 activates innate and adaptive immunity to overcome the non‐inflamed microenvironment of Egfr‐mutant lung cancer. This combination increases NK and CD8+ T‐cell infiltration, associated with activation of the STING‐IRF3 pathway and local immunogenic cell death.
Jun Nishimura +19 more
wiley +1 more source
A stochastic production frontier model with a translog specification using the generalized maximum entropy estimator [PDF]
In this paper, an empirical application of the generalized maximum entropy estimator in a stochastic production frontier model with a translog specification is discussed to investigate technical efficiency in a wine region of Portugal.
Elvira Silva, Pedro Macedo
core
, 2019 The characterisation of healthy ageing of the brain could help create a fingerprint of normal ageing that might assist in the early diagnosis of neurodegenerative conditions. This study examined changes in resting state MEG permutation entropy due to age
Shumbayawonda, Elizabeth +3 more
core +1 more source