Results 141 to 150 of about 189,014 (298)
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
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
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
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
ABSTRACT The rare X‐linked female‐restricted Hardikar syndrome (HDKR, OMIM # 301068) is characterized by multiple congenital anomalies including orofacial clefts, gastrointestinal, genitourinary, and cardiac anomalies, but cognitive and neurobehavioral development is rarely impaired.
Tinne Warmoeskerken +4 more
wiley +1 more source
Nipple‑sparing mastectomies: Clinical outcomes from a single academic institution [PDF]
Conant, Leah +5 more
core +2 more sources
Pristane (5 mL/kg) induced a robust systemic lupus erythematosus (SLE)‐like phenotype in Macaca fascicularis, marked by elevated antinuclear antibody (ANA) levels and systemic clinical, hematological, and biochemical changes. This model closely reflects human SLE and provides a translational platform for disease studies and therapeutic evaluation ...
Jonny Jonny +12 more
wiley +1 more source
Humanized immune system animal models and their recent applications
In this review, we provide an updated and comprehensive overview of the current state of humanized immune system animal model research. We discuss the variety of techniques used to produce humanized mice with their respective strengths and weaknesses, and evaluate the advantages and limitations of these models, including issues with incomplete immune ...
Nicolas Skuli +6 more
wiley +1 more source

