Results 71 to 80 of about 2,383,589 (344)
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
A logistic model of periodic chemotherapy
Applied Mathematics Letters, 1995 AbstractA logistic differential equation with a time-varying periodic parameter is used to model the growth of cells, in particular cancer cells, in the presences of chemotherapeutic drugs. The chemotherapeutic effects are modeled by a periodic parameter that modifies the growth rate of the cell tissue. A negative growth rate represents the detrimental
openaire +3 more sources
Revstat Statistical Journal, 2022 The analysis of longitudinal survey data is often complicated when informative sampling or nonignorable missing data exists. Existing methods that can handle both informative sampling and nonignorable missing data are only limited to the situation of no
Zhan Liu , Chun Yip Yau
doaj +1 more source
Logistic wavelets and logistic function: An application to model the spread of SARS-CoV-2 virus infections [PDF]
, 2020 In the present paper, we model the cumulative number of persons reported to be infected by the SARS-CoV-2 virus, in a country or a region, by a sum of logistic functions. For a given logistic function, using Eulerian numbers, we find the zeros of its successive derivatives and their relationship with the saturation level of this function.
arxiv +1 more source
Estimation of the parameters of a stochastic logistic growth model [PDF]
, 2013 We consider a stochastic logistic growth model involving both birth and death rates in the drift and diffusion coefficients for which extinction eventually occurs almost surely.
Campillo, Fabien +2 more
core +2 more sources
, 2019 This paper proposes a new classification model called logistic circuits. On MNIST and Fashion datasets, our learning algorithm outperforms neural networks that have an order of magnitude more parameters.
Broeck, Guy Van den, Liang, Yitao
core +1 more source
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose To assess the predictive capability of CT radiomics features for early recurrence (ER) of pancreatic ductal adenocarcinoma (PDAC). Methods Postoperative PDAC patients were retrospectively selected, all of whom had undergone preoperative CT imaging and surgery. Both patients with resectable or borderline‐resectable pancreatic cancer met
Xinze Du +7 more
wiley +1 more source
Mobile phone and beef cattle marketing: The case of Girar Jarso district of Oromia region, Ethiopia
Cogent Food & Agriculture, 2021 Mobile phone serves as a means for the farmers to have access to beef cattle markets. This study is designed to assess the contributions, determinants, and constraints in the use of the mobile phone for beef cattle marketing.
Yohannes Girma, Adi Kelil
doaj +1 more source
Estimation of the growth curve parameters in Macrobrachium rosenbergii [PDF]
, 2011 Growth is one of the most important characteristics of cultured species. The objective of this study was to determine the fitness of linear, log linear, polynomial, exponential and Logistic functions to the growth curves of Macrobrachium rosenbergii ...
Gopal, Krishna +3 more
core
A descriptive and validation study of a predictive model of severity of SARS-COV-2 infection
Advances in Laboratory Medicine, 2021 The strain the SARS-COV-2 pandemic is putting on hospitals requires that predictive values are identified for a rapid triage and management of patients at a higher risk of developing severe COVID-19. We developed and validated a prognostic model of COVID-
Villena-Ortiz Yolanda +8 more
doaj +1 more source