Results 111 to 120 of about 17,318 (265)

Gut Lactate Boosts Ruminococcus via Histone Lactylation to Mediate Time‐Restricted Feeding Protection in Crohn's Disease

open access: yesAdvanced Science, EarlyView.
TRF enriches Ruminococcus, a bacterial genus producing SCFAs, and activates the epithelial HIF‐1α signaling pathway. This mechanism protects the colonic mucosa from inflammatory insults in colitis models. Mechanistically, gut lactate production during starvation and refeeding mediates H4K12la, which increases SLC9A3 expression and creates an acidic gut
Linwen Huang   +17 more
wiley   +1 more source

Hyperanalytic denoising

open access: yes, 2007
A new threshold rule for the estimation of a deterministic image immersed in noise is proposed. The full estimation procedure is based on a separable wavelet decomposition of the observed image, and the estimation is improved by introducing the new ...
Olhede, SC
core  

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

open access: yesAdvanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia   +7 more
wiley   +1 more source

Porous Media Characterization by Micro-Tomographic Image Processing

open access: yes, 2011
In this thesis, we have focused our attention on the characterization of porous media through micro-tomographic image processing. A porous medium can be simply seen as a solid material with "holes" in it, which, connected or isolated, may or may not ...
Matrecano, Marcella
core  

Full‐Body AI Agent: A Perspective on Multi‐Scale Collaborative AI for Systemic Biology and Precision Medicine

open access: yesAdvanced Science, EarlyView.
We propose the Full‐Body AI Agent, a multi‐scale collaborative framework with 7 biological‐layer agents. It unifies multi‐omics/clinical data via standardized protocols, enabling phenotype‐guided closed‐loop reasoning, quantitative evaluation, and LLM safeguards, with promising applications in tumor metastasis modeling and precision drug development ...
Aoqi Wang   +11 more
wiley   +1 more source

Curvelet Approach for SAR Image Denoising, Structure Enhancement, and Change Detection

open access: yes, 2009
In this paper we present an alternative method for SAR image denoising, structure enhancement, and change detection based on the curvelet transform. Curvelets can be denoted as a two dimensional further development of the well-known wavelets.
Roth, Achim   +2 more
core  

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

open access: yesAdvanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo   +6 more
wiley   +1 more source

An improved non-local means filter for color image denoising

open access: yes, 2018
Non-local means filter is a special case of non-linear filter. It performs well for filtering Gaussian noise while preserving edges and details of the original images.
Xiong, Wei,   +7 more
core   +1 more source

Equivariant Denoisers for Image Restoration

open access: yes
One key ingredient of image restoration is to define a realistic prior on clean images to complete the missing information in the observation. State-of-the-art restoration methods rely on a neural network to encode this prior. Moreover, typical image distributions are invariant to some set of transformations, such as rotations or flips.
Renaud, Marien   +2 more
openaire   +3 more sources

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
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

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