Automatic evaluation of human oocyte developmental potential from microscopy images [PDF]
, 2021 Infertility is becoming an issue for an increasing number of couples. The most common solution, in vitro fertilization, requires embryologists to carefully examine light microscopy images of human oocytes to determine their developmental potential. We propose an automatic system to improve the speed, repeatability, and accuracy of this process.
arxiv +1 more source
Mito-nuclear selection induces a trade-off between species ecological dominance and evolutionary lifespan [PDF]
Nature Ecology & Evolution, 2022, 2021 Mitochondrial and nuclear genomes must be co-adapted to ensure proper cellular respiration and energy production. Mito-nuclear incompatibility reduces individual fitness and induces hybrid infertility, suggesting a possible role in reproductive barriers and speciation.
arxiv +1 more source
Genes predisposing to syndromic and nonsyndromic infertility: a narrative review [PDF]
arXiv, 2021 Background: Advanced biological techniques have helped produce more insightful findings on the genetic etiology of infertility that may lead to better management of the condition. This review provides an update on genes predisposing to syndromic and nonsyndromic infertility.
arxiv
Genetic Neural Architecture Search for automatic assessment of human sperm images [PDF]
Expert Systems with Applications, 2021, 2019 Male infertility is a disease which affects approximately 7% of men. Sperm morphology analysis (SMA) is one of the main diagnosis methods for this problem. Manual SMA is an inexact, subjective, non-reproducible, and hard to teach process. As a result, in this paper, we introduce a novel automatic SMA based on a neural architecture search algorithm ...
arxiv +1 more source
The yields of r-process elements and chemical evolution of the Galaxy [PDF]
Astrophys.SpaceSci.306:33-39,2006, 2006 The supernova yields of r-process elements are obtained as a function of the mass of their progenitor stars from the abundance patterns of extremely metal-poor stars on the left-side [Ba/Mg]-[Mg/H] boundary with a procedure proposed by Tsujimoto and Shigeyama.
arxiv +1 more source
Improving Human Sperm Head Morphology Classification with Unsupervised Anatomical Feature Distillation [PDF]
arXiv, 2022 With rising male infertility, sperm head morphology classification becomes critical for accurate and timely clinical diagnosis. Recent deep learning (DL) morphology analysis methods achieve promising benchmark results, but leave performance and robustness on the table by relying on limited and possibly noisy class labels.
arxiv
PCONet: A Convolutional Neural Network Architecture to Detect Polycystic Ovary Syndrome (PCOS) from Ovarian Ultrasound Images [PDF]
arXiv, 2022 Polycystic Ovary Syndrome (PCOS) is an endrocrinological dysfunction prevalent among women of reproductive age. PCOS is a combination of syndromes caused by an excess of androgens - a group of sex hormones - in women. Syndromes including acne, alopecia, hirsutism, hyperandrogenaemia, oligo-ovulation, etc. are caused by PCOS. It is also a major cause of
arxiv
Infinite-dimensional genetic and evolution algebras generated by Gibbs measures [PDF]
arXiv, 2022 Genetic and evolution algebras arise naturally from applied probability and stochastic processes. Gibbs measures describe interacting systems commonly studied in thermodynamics and statistical mechanics with applications in several fields. Here, we consider that the algebras are determined by configurations of finite spins on a countable set with their
arxiv
Augmenting endometriosis analysis from ultrasound data with deep learning [PDF]
arXiv, 2023 Endometriosis is a non-malignant disorder that affects 176 million women globally. Diagnostic delays result in severe dysmenorrhea, dyspareunia, chronic pelvic pain, and infertility. Therefore, there is a significant need to diagnose patients at an early stage.
arxiv
Exploring the Role of Explainability in AI-Assisted Embryo Selection [PDF]
arXiv, 2023 In Vitro Fertilization is among the most widespread treatments for infertility. One of its main challenges is the evaluation and selection of embryo for implantation, a process with large inter- and intra-clinician variability. Deep learning based methods are gaining attention, but their opaque nature compromises their acceptance in the clinical ...
arxiv