Results 191 to 200 of about 10,416 (247)
LDCT image denoising algorithm based on two-dimensional variational mode decomposition and dictionary learning. [PDF]
Han Y +5 more
europepmc +1 more source
Haplotype‐Resolved 3D Genomic Landscapes and Their Impacts on Agronomic Traits in Grapevine
This study presents a haplotype‐resolved 3D genomic landscape of grapevine, revealing that structural variations (SVs) are closely associated with phased topologically associating domain (TAD) boundary transitions. These rearrangements coordinate with allele‐specific DNA methylation (ASM) and allele‐biased gene expression (ASE) to shape key agronomic ...
Yanling Peng +18 more
wiley +1 more source
ABSTRACT Advancements in tissue engineering have revolutionized therapeutic paradigms for diabetic tissue defects; however, the lack of applicable scaffold containing various bioactive substance aggregates remained a critical bottleneck hindering satisfactory repair effect.
Tao Wang +8 more
wiley +1 more source
Enhanced medical image segmentation using novel level set evolution and efficient optimization. [PDF]
Wali S +4 more
europepmc +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Fractional analysis of non-linear fuzzy partial differential equations by using a direct procedure. [PDF]
Arshad M, Khan S, Khan H, Ali H, Ali I.
europepmc +1 more source
Diffusion–Model–Driven Discovery of Ferroelectrics for Photocurrent Applications
We developed a diffusion model–based generative AI and high‐throughput screening framework that accelerates the discovery of photovoltaic ferroelectrics. By coupling AI driven crystal generation with machine learning and DFT screening, we identified Ca3P2 and LiCdP as new ferroelectric materials exhibiting strong polarization, feasible switching ...
Byung Chul Yeo +3 more
wiley +1 more source
Implicit Solvent Models and Their Applications in Biophysics. [PDF]
Severoglu YB +5 more
europepmc +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source

