Prognostic Analysis of Lung Cancer With Brain Metastases in Elderly Patients: A Multicenter Retrospective Study. [PDF]
Li A +14 more
europepmc +1 more source
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi +5 more
wiley +1 more source
Cuticular microsculpturing: multispecies morphology of stridulatory structures in bark beetles of the genus Ips (Coleoptera: Curculionidae: Scolytinae). [PDF]
Guzmán-Robles AV +3 more
europepmc +1 more source
To integrate surface analysis into materials discovery workflows, Gaussian process regression is used to accurately predict surface compositions from rapidly acquired volume composition data (obtained by energy‐dispersive X‐ray spectroscopy), drastically reducing the number of required surface measurements on thin‐film materials libraries.
Felix Thelen +2 more
wiley +1 more source
Preoperative hydrocephalus and the risk of postoperative speech impairment following posterior fossa tumour surgery in children: results from a prospective, multinational cohort study. [PDF]
Laustsen AF +26 more
europepmc +1 more source
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla +4 more
wiley +1 more source
A clinicopathological and spatial feature-based nomogram for individualized prediction of axillary lymph node involvement in breast cancer. [PDF]
Fang XY +6 more
europepmc +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
Factors associated with insomnia, anxiety, and depression among antenatal women in China: A cross-sectional hospital-based study. [PDF]
Liao Q +6 more
europepmc +1 more source
Automated procedural analysis is recognized as one of the major game changers for robotic surgery. Meaning digital analysis needs to replace the manual assessments that set todays standard. Mechanical robotic‐instrument tracking enables the derivation of quantitative kinematic metrics that support behavior‐based workflow segmentation into distinct ...
Kateryna Pirkovets +4 more
wiley +1 more source

