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Background: Anti-Mullerian hormone (AMH) is a product of growing ovarian follicles. The concentration of AMH in blood may also reflect the non-growing follicle (NGF) population, i.e. the ovarian reserve, and be of value in predicting…

Tissues and Organs · Quantitative Biology 2011-06-08 T W Kelsey , P Wright , S M Nelson , R A Anderson , W H B Wallace

The human ovary contains a fixed number of non-growing follicles (NGFs) established before birth that decline with increasing age culminating in the menopause at 50-51 years. The objective of this study is to model the age-related…

Tissues and Organs · Quantitative Biology 2011-06-08 W H B Wallace , T W Kelsey

Lesion volume is an important predictor for prognosis in breast cancer. We make a step towards a more accurate lesion volume measurement on digital mammograms by developing a model that allows to estimate lesion volumes on processed…

Cerebral perfusion plays a crucial role in maintaining brain function and is tightly coupled with neuronal activity. While previous studies have examined cerebral perfusion trajectories across development and aging, precise characterization…

Neurons and Cognition · Quantitative Biology 2025-02-13 Xinglin Zeng , Yiran Li , Lin Hua , Ruoxi Lu , Lucas Lemos Franco , Peter Kochunov , Shuo Chen , John A Detre , Ze Wang

Scientists have long sought to understand how vascular networks supply blood and oxygen to cells throughout the body. Recent work focuses on principles that constrain how vessel size changes through branching generations from the aorta to…

Tissues and Organs · Quantitative Biology 2015-09-10 Mitchell G Newberry , Daniel B Ennis , Van M Savage

Ultrasound follicle tracking is an important part of cycle monitoring. OSIS Ovary (Online System for Image Segmentation for the Ovary) has been conceived aiming to aid the management of the workflow in follicle tracking, one of the most…

In 2020 we first described placental contractions, and we have now undertaken a study to characterise them and seek features that might automatically separate them from uterine contractions. We recruited 36 healthy pregnant women to undergo…

Objectives: To examine sex differences in the associations between vascular risk factors and 6-year changes in the volume of white matter hyperintensities (WMH), and between changes in WMH volumes and changes in cognitive performance, in a…

Neurons and Cognition · Quantitative Biology 2023-07-19 Abdullah Alqarni , Wei Wen , Ben C. P. Lam , Nicole Kochan , Henry Brodaty , Perminder S. Sachdev , Jiyang Jiang

Statistical and computational methods are widely used in today's scientific studies. Using a female fertility potential in childhood cancer survivors as an example, we illustrate how these methods can be used to extract insight regarding…

Applications · Statistics 2020-11-20 L. Yu , Z. Lu , P. C. Nathan , S. Mostoufi-Moab , Y. Yuan

The available reference data for the mandible and mandibular growth consists primarily of two-dimensional linear or angular measurements. The aim of this study was to create the first open-source, three-dimensional statistical shape model…

Background: Overweight and obesity are an increasing phenomenon worldwide. Predicting future overweight or obesity early in the childhood reliably could enable a successful intervention by experts. While a lot of research has been done…

Machine Learning · Computer Science 2019-11-20 Ilkka Rautiainen , Sami Äyrämö

The size of mature oocytes is similar across mammalian species, yet the size of ovarian follicles increases with species size, with some ovarian follicles reaching diameters more than 1000-fold the size of the enclosed oocyte. Here we show…

Tissues and Organs · Quantitative Biology 2013-11-14 M. Bächler , D. Menshykau , Ch. De Geyter , D. Iber

In this paper, we propose a mean score equation-based approach to estimate the the volume under the receiving operating characteristic (ROC) surface (VUS) of a diagnostic test, under nonignorable (NI) verification bias. The proposed…

Methodology · Statistics 2019-06-21 Duc-Khanh To , Gianfranco Adimari , Monica Chiogna

Macroscopic, phenomenological models have proven useful as concise framings of our understandings in fields from statistical physics to economics to biology. Constructing a phenomenological model for development would provide a framework…

Cell Behavior · Quantitative Biology 2021-03-24 Brian D Leahy , Catherine Racowsky , Daniel Needleman

A normally functioning menstrual cycle requires significant crosstalk between hormones originating in ovarian and brain tissues. Reproductive hormone dysregulation may cause abnormal function and sometimes infertility. The inherent…

Tissues and Organs · Quantitative Biology 2022-08-30 E. J. Graham , N. Elhadad , D. Albers

In this paper, we study a vector conservation law that models the growth and selection of ovarian follicles. During each ovarian cycle, only a definite number of follicles ovulate, while the others undergo a degeneration process called…

Analysis of PDEs · Mathematics 2010-10-12 Peipei Shang

We make some improvements to our previous results. First, we prove a version of our volume growth theorem which does not require any assumption on the first Betti number. Second, we show that our local regularity theorem only requires a…

Differential Geometry · Mathematics 2009-08-26 Jeff Viaclovsky , Gang Tian

Author's early work on aging is developed to yield a relationship between life spans and the velocity of aging. The mathematical analysis shows that the mean extent of the advancement of aging throughout one's life is conserved, or…

Populations and Evolution · Quantitative Biology 2007-05-23 Kazumi Suematsu

Ovarian Cancer (OC) is type of female reproductive malignancy which can be found among young girls and mostly the women in their fertile or reproductive. There are few number of cysts are dangerous and may it cause cancer. So, it is very…

Machine Learning · Computer Science 2021-08-31 Laboni Akter , Nasrin Akhter

Pelvic diseases in women of reproductive age represent a major global health burden, with diagnosis frequently delayed due to high anatomical variability, complicating MRI interpretation. Existing AI approaches are largely disease-specific…

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