Results 41 to 50 of about 557,874 (331)
Molecular Oncology, EarlyView.There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes +20 more
wiley +1 more source
Molecular Oncology, EarlyView.In luminal (ER+) breast carcinoma (BC), miRNA profiling identified miR‐195‐5p as a key regulator of proliferation that targets CHEK1, CDC25A, and CCNE1. High CHEK1 expression correlates with worse relapse‐free survival after chemotherapy, especially in patients with luminal A subtype.
Veronika Boušková +14 more
wiley +1 more source
Вестник Самарского университета: Естественнонаучная серияIn this paper, we study the features of modeling attacks on artificial intelligence systems. Markov decision-making processes are used in the construction of the model.
Igor A. Vetrov, Vladislav V. Podtopelny
doaj +1 more source
Geosciences, 2019 Local scour is a dynamic process evolving during the lifetime of bridges as a result of the changes in hydrologic and hydraulic conditions. Current approaches for scour risk assessment are generally based on the evaluation of the equilibrium scour depth ...
Alonso Pizarro, Enrico Tubaldi
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Exit spaces for Cox processes and the P\'olya sum process [PDF]
, 2013 For Cox processes we construct a Markov process with increasing paths to couple the condensations of the Cox process in a monotone way. A similar procedure procedure yields an analogue Markov process for the P\'olya sum process. Moreover, we identify the
Rafler, Mathias
core
Decrypting cancer's spatial code: from single cells to tissue niches
Molecular Oncology, EarlyView.Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik +4 more
wiley +1 more source
Open Markov Type Population Models: From Discrete to Continuous Time
Mathematics, 2021 We address the problem of finding a natural continuous time Markov type process—in open populations—that best captures the information provided by an open Markov chain in discrete time which is usually the sole possible observation from data.
Manuel L. Esquível +2 more
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Illinois Journal of Mathematics, 1992 For any real-valued random variables \(X\) and \(Y\) with joint distribution \(H\), \textit{A. Sklar} [Kybernetika, Praha 9, 449-460 (1973; Zbl 0292.60036)] showed that there is a cuopla \(C\) such that \(H(x,y)=C(F(x),G(y))\), where \(F\) and \(G\) are the marginal distributions of \(X\) and \(Y\) and \(H\) is their joint distribution.
Darsow, William F. +2 more
openaire +4 more sources
Molecular Oncology, EarlyView.Adaptaquin selectively kills glioma stem cells while sparing differentiated brain cells. Transcriptomic and proteomic analyses show Adaptaquin disrupts iron and cholesterol homeostasis, with iron chelation amplifying cytotoxicity via cholesterol depletion, mitochondrial dysfunction, and elevated reactive oxygen species.
Adrien M. Vaquié +16 more
wiley +1 more source
Nonlinear Markov Processes in Big Networks
, 2016 Big networks express various large-scale networks in many practical areas such as computer networks, internet of things, cloud computation, manufacturing systems, transportation networks, and healthcare systems. This paper analyzes such big networks, and
Li, Quan-Lin
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