AIMC Topic: Deep Learning

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Modeling Active-State Conformations of G-Protein-Coupled Receptors Using AlphaFold2 via Template Bias and Explicit Protein Constrains.

Journal of chemical information and modeling May 29, 2025
AlphaFold2 and other deep learning tools represent the state of the art for protein structure prediction; however, they are still limited in their ability to model multiple protein conformations. Since the function of many proteins depends on their a...
Humans Models, Molecular Ligands Protein Conformation Deep Learning Receptors, G-Protein-Coupled
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Explainability of Protein Deep Learning Models.

International journal of molecular sciences May 29, 2025
Protein embeddings are the new main source of information about proteins, producing state-of-the-art solutions to many problems, including protein interaction prediction, a fundamental issue in proteomics. Understanding the embeddings and what causes...
Computational Biology Proteomics Deep Learning Protein Interaction Mapping Proteins Hydrophobic and Hydrophilic Interactions
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Gaussian random fields as an abstract representation of patient metadata for multimodal medical image segmentation.

Scientific reports May 29, 2025
Growing rates of chronic wound occurrence, especially in patients with diabetes, has become a recent concerning trend. Chronic wounds are difficult and costly to treat, and have become a serious burden on health care systems worldwide. Innovative dee...
Humans Algorithms Normal Distribution Diabetic Foot Metadata Deep Learning Image Processing, Computer-Assisted
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An efficient dual-branch framework via implicit self-texture enhancement for arbitrary-scale histopathology image super-resolution.

Scientific reports May 29, 2025
High-quality whole-slide scanning is expensive, complex, and time-consuming, thus limiting the acquisition and utilization of high-resolution histopathology images in daily clinical work. Deep learning-based single-image super-resolution (SISR) techn...
Lung Neoplasms Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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Interpretable deep learning for gastric cancer detection: a fusion of AI architectures and explainability analysis.

Frontiers in immunology May 29, 2025
INTRODUCTION: The rise in cases of Gastric Cancer has increased in recent times and demands accurate and timely detection to improve patients' well-being. The traditional cancer detection techniques face issues of explainability and precision posing ...
Image Interpretation, Computer-Assisted Humans Artificial Intelligence Stomach Neoplasms Deep Learning
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Deep learning for predicting invasive recurrence of ductal carcinoma in situ: leveraging histopathology images and clinical features.

EBioMedicine May 28, 2025
BACKGROUND: Ductal Carcinoma In Situ (DCIS) can progress to ipsilateral invasive breast cancer (IBC) but over 75% of DCIS lesions do not progress if untreated. Currently, DCIS that might progress to IBC cannot reliably be identified. Therefore, most ...
Neoplasm Recurrence, Local Adult Proportional Hazards Models Breast Neoplasms ROC Curve Middle Aged Carcinoma, Intraductal, Noninfiltrating Deep Learning Humans Female Prognosis Aged
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Personalized prediction of gait freezing using dynamic mode decomposition.

Scientific reports May 28, 2025
Freezing of gait (FoG) is a common severe gait disorder in patients with advanced Parkinson's disease. The ability to predict the onset of FoG episodes early on allows for timely intervention, which is essential for improving the life quality of pati...
Gait Disorders, Neurologic Algorithms Female Parkinson Disease Male Aged Humans Gait Deep Learning Machine Learning
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Drug-drug interaction prediction of traditional Chinese medicine based on graph attention networks.

Scientific reports May 28, 2025
Predicting drug-drug interactions (DDI) is crucial for preventing adverse reactions in patients and plays a vital role in drug design and development. However, traditional Chinese medicine (TCM) formulations, typically composed of multiple herbal ing...
Humans Neural Networks, Computer Deep Learning Drug Interactions Medicine, Chinese Traditional Drugs, Chinese Herbal
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Large Scale MRI Collection and Segmentation of Cirrhotic Liver.

Scientific data May 28, 2025
Liver cirrhosis represents the end stage of chronic liver disease, characterized by extensive fibrosis and nodular regeneration that significantly increases mortality risk. While magnetic resonance imaging (MRI) offers a non-invasive assessment, accu...
Deep Learning Liver Magnetic Resonance Imaging Liver Cirrhosis Humans
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A Novel Artificial Intelligence Approach to Kennedy Classification for Partially Edentulous Patients Using Panoramic Radiographs.

The European journal of prosthodontics and restorative dentistry May 28, 2025
OBJECTIVES: This study aimed to develop an artificial intelligence system for automated classification of partially edentulous arches from panoramic radiographs using the Kennedy classification system and Applegate's rules, alongside identifying exis...
Radiography, Panoramic Jaw, Edentulous, Partially Artificial Intelligence Deep Learning Humans
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