AIMC Topic: Diffusion

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Diff-SE: A Diffusion-Augmented Contrastive Learning Framework for Super-Enhancer Prediction.

Journal of chemical information and modeling Jul 4, 2025
Super-enhancers (SEs) are cis-regulatory elements that play crucial roles in gene expression and are implicated in diseases such as cancer and Alzheimer's. Traditional identification methods rely on ChIP-seq experiments, which are costly and time-con...
Enhancer Elements, Genetic Computational Biology Diffusion Humans Deep Learning Mice Animals
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MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shifting.

Physics in medicine and biology Jun 16, 2025
Magnetic resonance imaging (MRI) is essential in clinical and research contexts, providing exceptional soft-tissue contrast. However, prolonged acquisition times often lead to patient discomfort and motion artifacts. Diffusion-based deep learning sup...
Male Deep Learning Image Processing, Computer-Assisted Humans Brain Prostate Magnetic Resonance Imaging Diffusion Models, Statistical Signal-To-Noise Ratio
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Pixel super-resolved virtual staining of label-free tissue using diffusion models.

Nature communications May 30, 2025
Virtual staining of tissue offers a powerful tool for transforming label-free microscopy images of unstained tissue into equivalents of histochemically stained samples. This study presents a diffusion model-based pixel super-resolution virtual staini...
Diffusion Staining and Labeling Reproducibility of Results Microscopy, Fluorescence Lung Deep Learning Humans Image Processing, Computer-Assisted
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DihedralsDiff: A Diffusion Conformation Generation Model That Unifies Local and Global Molecular Structures.

Journal of chemical information and modeling May 20, 2025
Significant advancements have been made in utilizing artificial intelligence to learn to generate molecular conformations, which has greatly facilitated the discovery of drug molecules. In particular, the rapid development of diffusion models has led...
Diffusion Molecular Conformation Models, Molecular
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Deep learning-assisted analysis of single-particle tracking for automated correlation between diffusion and function.

Nature methods May 8, 2025
Subcellular diffusion in living systems reflects cellular processes and interactions. Recent advances in optical microscopy allow the tracking of this nanoscale diffusion of individual objects with unprecedented precision. However, the agnostic and a...
Humans Deep Learning Endosomes Image Processing, Computer-Assisted Software Diffusion Single Molecule Imaging
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Semantic-consistent diffusion model for unsupervised traumatic brain injury detection and segmentation from computed tomography images.

Medical physics Apr 9, 2025
BACKGROUND: Unsupervised traumatic brain injury (TBI) lesion detection aims to identify and segment abnormal regions, such as cerebral edema and hemorrhages, using only healthy training data. Recent advancements in generative models have achieved suc...
Diffusion Semantics Brain Injuries, Traumatic Unsupervised Machine Learning Humans Tomography, X-Ray Computed Image Processing, Computer-Assisted
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FSDM: An efficient video super-resolution method based on Frames-Shift Diffusion Model.

Neural networks : the official journal of the International Neural Network Society Apr 3, 2025
Video super-resolution is a fundamental task aimed at enhancing video quality through intricate modeling techniques. Recent advancements in diffusion models have significantly enhanced image super-resolution processing capabilities. However, their in...
Humans Image Processing, Computer-Assisted Diffusion Video Recording Neural Networks, Computer Algorithms
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AGDIFF: Attention-Enhanced Diffusion for Molecular Geometry Prediction.

Journal of chemical information and modeling Feb 11, 2025
Accurate prediction of molecular geometries is crucial for drug discovery and materials science. Existing fast conformer prediction algorithms often rely on approximate empirical energy functions, resulting in low accuracy. More accurate methods like...
Diffusion Drug Discovery Molecular Conformation Molecular Dynamics Simulation Machine Learning Algorithms
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Enhancing fluorescence correlation spectroscopy with machine learning to infer anomalous molecular motion.

Biophysical journal Feb 6, 2025
The random motion of molecules in living cells has consistently been reported to deviate from standard Brownian motion, a behavior coined as "anomalous diffusion." To study this phenomenon in living cells, fluorescence correlation spectroscopy (FCS) ...
Movement Machine Learning Spectrometry, Fluorescence Diffusion Motion
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Artificial intelligence using a latent diffusion model enables the generation of diverse and potent antimicrobial peptides.

Science advances Feb 5, 2025
Artificial intelligence holds great promise for the design of antimicrobial peptides (AMPs); however, current models face limitations in generating AMPs with sufficient novelty and diversity, and they are rarely applied to the generation of antifunga...
Antimicrobial Peptides Artificial Intelligence Acinetobacter baumannii Molecular Dynamics Simulation Candida glabrata Microbial Sensitivity Tests Diffusion Mice Antifungal Agents Anti-Bacterial Agents Animals
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