Results 141 to 150 of about 324,009 (309)
Non‐Invasive Diagnosis of Chronic Myocardial Infarction via Composite In‐Silico‐Human Data Learning
This study presents a non‐invasive machine learning model to identify infarct regions in the left ventricle using cardiac strain data. By combining rodent‐based simulated data with limited human data, the model achieves high accuracy in predicting infarct size and location without the need for gadolinium contrast agents, offering a promising ...
Rana Raza Mehdi+7 more
wiley +1 more source
DECENT is a deep learning method that enhances noninvasive preimplantation genetic testing by accurately reconstructing embryonic copy number variations (CNVs) from cell‐free DNA in spent embryo culture media. By mitigating maternal contamination, DECENT improves diagnostic accuracy, even with high contamination levels, offering a reliable, noninvasive
Zhenyi Zhang+3 more
wiley +1 more source
De Novo Reconstruction of 3D Human Facial Images from DNA Sequence
This study introduces Difface, a novel deep‐learning model for reconstructing 3D facial images only from DNA data. By integrating transformer networks, spiral convolutions, and a diffusion model, Difface directly aligns high‐dimensional SNP data with 3D facial structures.
Mingqi Jiao+11 more
wiley +1 more source
Grasping detection, which involves identifying and assessing the grasp ability of objects by robotic systems, has garnered significant attention in recent years due to its pivotal role in the development of robotic systems and automated assembly ...
Song Yan, Lei Zhang
doaj +1 more source
A soft poly (3,4‐ethylenedioxythiophene):poly (styrenesulfonate)‐based electrode enables continuous, high‐quality recording of peripheral nerve activity. A neural network model integrating handcrafted and convolutional neural network‐based features decodes whisker movements with strong generalization, offering insights into peripheral nerve function ...
Liangpeng Chen+22 more
wiley +1 more source
W1-Net: a highly scalable ptychography convolutional neural network
X-ray ptychography is a coherent diffraction imaging technique that allows for the quantitative retrieval of both the amplitude and phase information of a sample in diffraction-limited resolution. However, traditional reconstruction algorithms require a large number of iterations to obtain phase and amplitude images exactly, and the expensive ...
Chengye Xing+6 more
openaire +2 more sources
Nanoscale Curvature Regulates YAP/TAZ Nuclear Localization Through Nuclear Deformation and Rupture
This study uses experiments and biophysical modeling to examine the response and adaptation of cells to nanoscale topography of surfaces. It is shown that cytoskeletal assembly and nuclear localization of transcription regulatory factors such as yes‐associated protein (YAP) and transcriptional coactivator with PDZ‐binding motif (TAZ) can be tuned by ...
Emmet A. Francis+7 more
wiley +1 more source
A related convolutional neural network for cancer diagnosis using microRNA data classification
This paper develops a method for cancer classification from microRNA data using a convolutional neural network (CNN)‐based model optimized by genetic algorithm.
Najmeh Sadat Jaddi+3 more
doaj +1 more source
Page Stream Segmentation with Convolutional Neural Nets Combining Textual and Visual Features
Gregor Wiedemann, Gerhard Heyer
openalex +2 more sources
From Code to Life: The AI‐Driven Revolution in Genome Editing
This review explores AI‐driven advancements in genome editing, focusing on CRISPR optimization, enhanced targeting precision, reduced off‐target effects, and novel tool design. It addresses ethical challenges, data biases, and highlights future prospects in precision medicine, agriculture, and synthetic biology.
Zhidong Li+10 more
wiley +1 more source