AIMC Topic: Deep Learning

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Deep Learning of CYP450 Binding of Small Molecules by Quantum Information.

Journal of chemical information and modeling Jan 27, 2025
Drug-drug interaction can lead to diminished therapeutic effects or increased toxicity, posing significant risks, especially in polypharmacy, and cytochrome P450 plays an indispensable role in this interaction. Cytochrome P450, responsible for the me...
Quantum Theory Cytochrome P-450 Enzyme System Small Molecule Libraries Deep Learning Protein Binding Drug Interactions Cytochrome P-450 CYP1A2 Humans
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AI-based methods for biomolecular structure modeling for Cryo-EM.

Current opinion in structural biology Jan 27, 2025
Cryo-electron microscopy (Cryo-EM) has revolutionized structural biology by enabling the determination of macromolecular structures that were challenging to study with conventional methods. Processing cryo-EM data involves several computational steps...
Models, Molecular Macromolecular Substances Cryoelectron Microscopy Artificial Intelligence Deep Learning
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Impact of Deep Learning 3D CT Super-Resolution on AI-Based Pulmonary Nodule Characterization.

Tomography (Ann Arbor, Mich.) Jan 27, 2025
BACKGROUND/OBJECTIVES: Correct pulmonary nodule volumetry and categorization is paramount for accurate diagnosis in lung cancer screening programs. CT scanners with slice thicknesses of multiple millimetres are still common worldwide, and slice thick...
Early Detection of Cancer Radiographic Image Interpretation, Computer-Assisted Middle Aged Female Aged Imaging, Three-Dimensional Lung Humans Male Lung Neoplasms Deep Learning Tomography, X-Ray Computed Solitary Pulmonary Nodule
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The clinical application of artificial intelligence in cancer precision treatment.

Journal of translational medicine Jan 27, 2025
BACKGROUND: Artificial intelligence has made significant contributions to oncology through the availability of high-dimensional datasets and advances in computing and deep learning. Cancer precision medicine aims to optimize therapeutic outcomes and ...
Artificial Intelligence Precision Medicine Neoplasms Deep Learning Humans Immunotherapy
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Deep learning-based algorithm for classifying high-resolution computed tomography features in coal workers' pneumoconiosis.

Biomedical engineering online Jan 27, 2025
BACKGROUND: Coal workers' pneumoconiosis is a chronic occupational lung disease with considerable pulmonary complications, including irreversible lung diseases that are too complex to accurately identify via chest X-rays. The classification of clinic...
Anthracosis Deep Learning ROC Curve Image Processing, Computer-Assisted Male Algorithms Middle Aged Humans Tomography, X-Ray Computed Aged
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Hybrid generative adversarial network based on frequency and spatial domain for histopathological image synthesis.

BMC bioinformatics Jan 27, 2025
BACKGROUND: Due to the complexity and cost of preparing histopathological slides, deep learning-based methods have been developed to generate high-quality histological images. However, existing approaches primarily focus on spatial domain information...
Humans Generative Adversarial Networks Neural Networks, Computer Algorithms Deep Learning Image Processing, Computer-Assisted
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Multistage deep learning methods for automating radiographic sharp score prediction in rheumatoid arthritis.

Scientific reports Jan 27, 2025
The Sharp-van der Heijde score (SvH) is crucial for assessing joint damage in rheumatoid arthritis (RA) through radiographic images. However, manual scoring is time-consuming and subject to variability. This study proposes a multistage deep learning ...
Middle Aged Deep Learning Image Processing, Computer-Assisted Arthritis, Rheumatoid Aged Humans Radiography Adult Female Radiographic Image Interpretation, Computer-Assisted Male
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Deep learning based decision-making and outcome prediction for adolescent idiopathic scoliosis patients with posterior surgery.

Scientific reports Jan 27, 2025
With the emergence of numerous classifications, surgical treatment for adolescent idiopathic scoliosis (AIS) can be guided more effectively. However, surgical decision-making and optimal strategies still lack standardization and personalized customiz...
Scoliosis Deep Learning Adolescent Child Treatment Outcome Decision Making Spinal Fusion Clinical Decision-Making Female Male Humans Neural Networks, Computer
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An endoscopic ultrasound-based interpretable deep learning model and nomogram for distinguishing pancreatic neuroendocrine tumors from pancreatic cancer.

Scientific reports Jan 27, 2025
To retrospectively develop and validate an interpretable deep learning model and nomogram utilizing endoscopic ultrasound (EUS) images to predict pancreatic neuroendocrine tumors (PNETs). Following confirmation via pathological examination, a retrosp...
Retrospective Studies Female Aged Humans Algorithms Deep Learning Nomograms Support Vector Machine Adult Male Middle Aged Neuroendocrine Tumors Diagnosis, Differential Pancreatic Neoplasms Endosonography
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STAIG: Spatial transcriptomics analysis via image-aided graph contrastive learning for domain exploration and alignment-free integration.

Nature communications Jan 27, 2025
Spatial transcriptomics is an essential application for investigating cellular structures and interactions and requires multimodal information to precisely study spatial domains. Here, we propose STAIG, a deep-learning model that integrates gene expr...
Tumor Microenvironment Gene Expression Profiling Transcriptome Deep Learning Image Processing, Computer-Assisted Humans Algorithms
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