From Cytoskeletal Remodeling to Oocyte Quality: The Emerging Role of Mechanics
Mechanical properties of the oocyte are increasingly recognized as critical determinants of meiotic success and developmental potential. How actomyosin remodeling controls oocyte mechanics, how these properties are altered in pathological conditions, and how they could serve as markers in reproductive medicine are examined.
Anastasia Shihabi +3 more
wiley +1 more source
Impact of Salvadora persica aqueous extract on follicular development in female rats. [PDF]
Ghareeb SM +2 more
europepmc +1 more source
A dual‐color pseudo‐menstrual mouse model enables real‐time tracing of circulating endometrial cells (CECs) from uterine and ectopic sources. The study reveals menstrual‐phase‐dependent, burst‐like CEC release, distinct postoperative behaviors of different CEC origins, and a potential association with prolactin fluctuations, providing an in vivo ...
Shang Wang +15 more
wiley +1 more source
RHINO: An Integrative Multi‐Omics Framework Linking Circadian Physiology to Precision Medicine
RHINO (RHythmic Interacting Network for multi‐Omics) is an integrative framework that maps circadian regulation across diverse genetic and disease contexts and prioritizes druggable circadian targets. Released as an AI‐powered interactive web portal, RHINO unifies genetic, regulatory, disease, and drug–target information, enabling context‐specific ...
Ying Chen +12 more
wiley +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
Multi-Omics Reveals Tetrodotoxin Transport and Accumulation Mechanisms in <i>Takifugu bimaculatus</i>. [PDF]
Zhang X +9 more
europepmc +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Ovarian Fibrosis Through Comparative Analysis of Collagen Architecture. [PDF]
Aitken CJ +3 more
europepmc +1 more source
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source
Determining the Relationship Between People's Explicit and Implicit Preferences for Gender-Inclusive Sexual and Reproductive Health Content: Randomized Controlled Trial. [PDF]
Boskey ER +3 more
europepmc +1 more source

