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
Lactobacillus salivarius li01 alleviates premature ovarian insufficiency via gut microbiota-mediated modulation of tryptophan metabolism. [PDF]
Yao L +12 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
Granulosa Cell Tumour in a Spayed Cat With Ovarian Remnant Syndrome and Hyperestrogenaemia Without Estrus Signs. [PDF]
Shinoda H +4 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
Mutation analysis of the <i>FOXL2</i> and <i>BMP15</i> genes in patients with premature ovarian insufficiency. [PDF]
Mutlu MB +7 more
europepmc +1 more source
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
A machine learning framework combining cfDNA fragmentomics and serum biomarkers for early ovarian cancer detection. [PDF]
Weng W +14 more
europepmc +1 more source
Clinically Relevant Bleeding in Individuals With Cancer: Insights From a Nationwide Cohort Study
ABSTRACT Cancer care is often complicated by coagulopathy leading to thrombosis and bleeding. While venous thromboembolism (VTE) has been extensively studied, bleeding remains an underestimated threat. To address this knowledge gap, we leveraged the Epic Cosmos database to determine the impact of cancer‐associated clinically relevant bleeding (CRB) in ...
Ming Y. Lim +11 more
wiley +1 more source
Roles of Goserelin in Gynecological Disorders. [PDF]
Huang X +5 more
europepmc +1 more source

