Results 181 to 190 of about 215,664 (299)

Development of ovarian diseases in dairy cows with a history of fatty liver, and their prognosis. [PDF]

J Vet Med Sci, 2016
Tanemura K, Ohtaki T, Ono M, Tsumagari S.   +3 more
europepmc   +1 more source

RHINO: An Integrative Multi‐Omics Framework Linking Circadian Physiology to Precision Medicine

Advanced Science, EarlyView.
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, Chengxuan Chen, Dishu Zhou, Panpan Liu, Roberto E. López‐Valiente, Yuan Liu, Cam Mong La, Isabella Beraldo Xavier, Sean M. Hartig, Pradip Saha, Zheng Sun, Leng Han, Dongyin Guan   +12 more
wiley   +1 more source

Development and validation of a predictive nomogram for pediatric ovarian torsion: a retrospective cohort study. [PDF]

Transl Pediatr
Meng J, Bai G, Xiong J, Tang Y, Liu M, Cai J, He M, Zhang L, Gu W, Wang J.   +9 more
europepmc   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
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, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Lactate and lactylation: mechanisms, function, diseases, and therapeutic targets. [PDF]

Mol Biomed
Wang X, Liu C, Chen Y, Fang Y, Li J, Liu Y, Pan Y, Bao S, Wang X, Liu Y, Liu H.   +10 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
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, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Synergistic Impact of Obesity and PCOS on Immune Dysregulation: A Review of Systemic and Local Inflammatory Profiles. [PDF]

Int J Womens Health
Li H, Wang M, Chen X, Guan H, Zhao J, Song H, Song J, Tang H, Tang L.   +8 more
europepmc   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
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, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

Molecular Characterization of Ovarian Endometriosis in Saudi Arabian Women: Insights into Inflammatory, Autophagic, and Epigenetic Dysregulation. [PDF]

Int J Mol Sci
Nahdi S, Arafah M, Petraglia F, Jalouli M, Alamri A, Alanazi M, Rahman MA, Alwasel S, Harrath AH.   +8 more
europepmc   +1 more source

Clinically Informed Intelligent Classification of Ovarian Cancer Cells by Label‐Free Holographic Imaging Flow Cytometry

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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, Beatrice Cavina, Daniele Gaetano Sirico, Martina Mugnano, Vittorio Bianco, Lisa Miccio, Anna Myriam Perrone, Anna Maria Porcelli, Giuseppe Gasparre, Ivana Kurelac, Pasquale Memmolo, Pietro Ferraro   +11 more
wiley   +1 more source