Performance of linear and stochastic cell-growth model of Ductal Carcinoma In Situ (DCIS)

QR Code

Performance of linear and stochastic cell-growth model of Ductal Carcinoma In Situ (DCIS)

According to World Health Organization (WHO), in 2020 there were 2.3 million of women have been diagnosed with breast cancer and there are up to 685,000 deaths globally. 85% of breast cancer arises in the lining cells (epithelium) of the ducts known as ductal carcinoma in situ (DCIS). One of the con...

Full description

Bibliographic Details
Main Authors:	Nurul Anis, Abdul Satar, Noor Amalina Nisa, Ariffin, Norhayati, Rosli, Mazma Syahidatul Ayuni, Mazlan
Format:	Article
Language:	English
Published:	Semarak Ilmu Publishing 2025
Subjects:	Q Science (General) QA Mathematics
Online Access:	http://umpir.ump.edu.my/id/eprint/42126/ http://umpir.ump.edu.my/id/eprint/42126/1/Performance%20of%20linear%20and%20stochastic%20cell-growth.pdf

Similar Items

Stochastic Gompertzian model for breast cancer growth process
by: Mazma Syahidatul Ayuni, Mazlan, et al.
Published: (2017)

Performance of stochastic Runge-Kutta Methods in approximating the solution of stochastic model in biological system
by: Noor Amalina Nisa, Ariffin, et al.
Published: (2017)

Gompertzian Stochastic Model with Delay Effect to Cervical Cancer Growth
by: Norhayati, Rosli, et al.
Published: (2015)

Stochastic model of cancer growth with the effect of glycosaminoglycans (GAGs) as anticancer therapeutics
by: Mazma Syahidatul Ayuni, Mazlan
Published: (2019)

Phenotypic and molecular characterisation of breast ductal carcinoma in situ
by: Abdelaziz, Islam Mohammed Samy Miligy
Published: (2019)

The performance of stochastic Taylor methods and derivative-free method to approximate the solutions of stochastic delay differential equations
by: Norhayati, Rosli, et al.
Published: (2019)

Performance of 5-stage, 4-stage and specific stochastic Runge-Kutta methods in approximating the solution of stochastic biological model
by: Noor Amalina Nisa, Ariffin, et al.
Published: (2021)

Radiopharmaceuticals and the PET probe in the detection of Ductal Carcinoma in situ of the breast
by: Butler-Henderson, Kerryn Ann
Published: (2014)

Modelling the cancer growth process by stochastic delay diffferential equations under verhults and gompertz's law
by: Mazma Syahidatul Ayuni, Mazlan, et al.
Published: (2016)

Modelling the cancer growth process by stochastic delay differential equations under verhults and gompertz’s law
by: Mazma Syahidatul Ayuni, Mazlan, et al.
Published: (2016)

Prognostic significance of tumor-infiltrating lymphocytes in ductal carcinoma in situ of the breast
by: Toss, Michael S., et al.
Published: (2018)

Exploring the role of tumour microenvironment in the behaviour of breast ductal carcinoma in situ
by: Toss, Michael Salah Shawky
Published: (2020)

Modelling the cervical cancer growth process by stochastic delay differential equations
by: Mazma Syahidatul Ayuni Mazlan,, et al.
Published: (2015)

Modelling the cervical cancer growth process by stochastic delay differential equations
by: Mazma Syahidatul Ayuni, Mazlan, et al.
Published: (2015)

Epidemiology of Ductal Carcinoma in Situ in Western Australia: Implications for Surgical Margins and Management
by: Butler-Henderson, Kerryn, et al.
Published: (2014)

A Gompertzian Model With Random Effects To Cervical Cancer Growth
by: Mazma Syahidatul Ayuni, Mazlan, et al.
Published: (2015)

Thioredoxin interacting protein (TXNIP) is an independent risk stratifier for breast ductal carcinoma in situ
by: Miligy, Islam, et al.
Published: (2018)

Modelling the cancer growth process by Stochastic Differential Equations with the effect of Chondroitin Sulfate (CS) as anticancer therapeutics
by: Mazlan, Mazma Syahidatul Ayuni, et al.
Published: (2017)

Modelling the cancer growth process by stochastic differential equations with the effect of chondroitin sulfate (cs) as anticancer therapeutics
by: Mazma Syahidatul Ayuni, Mazlan, et al.
Published: (2017)

Derivation of stochastic Taylor methods for stochastic differential equations
by: Noor Amalina Nisa, Ariffin, et al.
Published: (2017)

Identification Of Biomarkers In Infiltrating Ductal Carcinoma: A Proteomics Approach
by: Seng , Liang
Published: (2009)

Stability Analysis of Explicit and Implicit Stochastic Runge-Kutta Methods for Stochastic Differential Equations
by: Adam, Samsudin, et al.
Published: (2017)

Serum leptin might be causally correlated to invasive ductal breast carcinoma
by: Al-Shibli, Saad M., et al.
Published: (2018)

Mean square stability analysis of semi-implicit milstein scheme for linear stochastic delay differential equations
by: Norhayati, Rosli, et al.
Published: (2017)

The leptin transduction pathway may be targeted against invasive ductal carcinoma of breast
by: M.Rahman, Shaikh, et al.
Published: (2018)

Bcl-2 expression and clinico-pathological correlations in invasive ductal carcinoma of the breast
by: Al-Joudi, Fawwaz S.,, et al.
Published: (2010)

Breast invasive ductal carcinoma detection with histopathological images using deep learning
by: Voon, Wingates
Published: (2022)

Exclusive intronic p53 point mutations detected in heterozygous invasive ductal breast carcinoma samples
by: Rosli, Rozita, et al.
Published: (2002)

Stability analysis of explicit and semi-implicit derivative-free methods for stochastic differential equations
by: Norhayati, Rosli, et al.
Published: (2016)

The role of hair loss in cancer identity: perceptions of chemotherapy-induced alopecia among women treated for early-stage breast cancer or ductal carcinoma in situ
by: Trusson, Diane, et al.
Published: (2016)

Fifth-stage stochastic runge-kutta method for stochastic differential equations
by: Noor Amalina Nisa, Ariffin
Published: (2018)

Expression of dna methylation of homeodomain transcription factor 2 (pitx2) and growth factor receptors in invasive ductal carcinoma of the breast
by: Wan Faiziah, Wan Abdul Rahman
Published: (2013)

CNN-based deep learning approach for classification of invasive ductal and metastasis types of breast carcinoma
by: Islam, Md. Tobibul, et al.
Published: (2024)

Effects of Chondroitin Sulfate (CS) on (HeLa) Cervical Cancer and Breast Cancer (MCF-7) cell lines
by: Mazlan, Mazma Syahidatul Ayuni, et al.
Published: (2019)

Adaptive step size stochastic runge-kutta method of order 1.5(1.0) for stochastic differential equations (SDEs)
by: Noor Julailah, Abd Mutalib, et al.
Published: (2023)

Living with a new normal: women’s experiences following treatment for early-stage breast cancer or DCIS
by: Trusson, Diane
Published: (2013)

Mathematical modeling of cancer growth process: A review
by: Tabassum, Shabana, et al.
Published: (2019)

Pancreatic ductal adenocarcinoma: Current and evolving therapies
by: Adamska, A., et al.
Published: (2017)

Chemopreventive effects of garlic powder on N-methyl-N-nitrosourea-induced ductal mammary gland carcinoma in female Sprague Dawley rats
by: Al-Salih, Hutheyfa A. H., et al.
Published: (2015)

Stochastic Runge-Kutta method for stochastic delay differential equations
by: Norhayati, Rosli
Published: (2012)