AIMC Topic: Deep Learning

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Integrating deep learning in stride-to-stride muscle activity estimation of young and old adults with wearable inertial measurement units.

Scientific reports Jul 9, 2025
Deep learning has become powerful and yet versatile tool that allows for the extraction of complex patterns from rich datasets. One field that can benefits from this advancement is human gait analysis. Conventional gait analysis requires a specialize...
Muscle, Skeletal Walking Gait Gait Analysis Middle Aged Deep Learning Wearable Electronic Devices Adult Male Humans Neural Networks, Computer Female Aged Young Adult
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A hybrid deep learning model EfficientNet with GRU for breast cancer detection from histopathology images.

Scientific reports Jul 9, 2025
Breast cancer remains a significant global health challenge among women, with histopathological image analysis playing a critical role in early detection. However, existing diagnostic models often struggle to extract complex patterns from high-resolu...
Convolutional Neural Networks Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Female Breast Neoplasms Deep Learning Humans Algorithms
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Evolving Blood Pressure Estimation: From Feature Analysis to Image-Based Deep Learning Models.

Journal of medical systems Jul 9, 2025
Traditional cuffless blood pressure (BP) estimation methods often require collecting physiological signals, such as electrocardiogram (ECG) and photoplethysmography (PPG), from two distinct body sites to compute metrics like pulse transit time (PTT) ...
Electrocardiography Blood Pressure Determination Blood Pressure Humans Deep Learning Photoplethysmography Pulse Wave Analysis Signal Processing, Computer-Assisted
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ColoViT: a synergistic integration of EfficientNet and vision transformers for advanced colon cancer detection.

Journal of cancer research and clinical oncology Jul 9, 2025
BACKGROUND: Colon cancer remains a leading cause of cancer-related mortality globally, highlighting the urgent need for advanced diagnostic methods to improve early detection and patient outcomes.
Convolutional Neural Networks Algorithms Humans Colonoscopy Early Detection of Cancer Image Interpretation, Computer-Assisted Colonic Neoplasms Deep Learning
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Multiparameter MRI-based automatic segmentation and diagnostic models for the differentiation of intracranial solitary fibrous tumors and meningiomas.

Annals of medicine Jul 8, 2025
BACKGROUND: Intracranial solitary fibrous tumors (SFTs) and meningiomas are meningeal tumors with different malignancy levels and prognoses. Their similar imaging features make preoperative differentiation difficult, resulting in high misdiagnosis ra...
Diagnosis, Differential Meningioma Meningeal Neoplasms Multiparametric Magnetic Resonance Imaging Solitary Fibrous Tumors Middle Aged Deep Learning Magnetic Resonance Imaging Adult Retrospective Studies Male Female Humans Aged Machine Learning
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Opioid misuse detection from cognitive and physiological data with temporal fusion deep learning.

Drug and alcohol dependence Jul 8, 2025
INTRODUCTION: Machine learning may enable detection of opioid misuse to prevent opioid-related risks including overdose and opioid use disorder.
Humans Middle Aged Heart Rate Adult Female Reaction Time Substance Abuse Detection Deep Learning Cross-Sectional Studies Analgesics, Opioid Chronic Pain Cognition Male Opioid-Related Disorders
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Deep Learning in Antimicrobial Peptide Prediction.

Journal of chemical information and modeling Jul 8, 2025
Antimicrobial peptides (AMPs) have garnered significant attention from researchers as effective alternatives to antibiotics. In recent years, deep learning has demonstrated unique advantages in AMP prediction, surpassing traditional machine learning ...
Humans Deep Learning Antimicrobial Peptides
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Integrating Protein Language Models and Geometric Deep Learning for Peptide Toxicity Prediction.

Journal of chemical information and modeling Jul 8, 2025
Peptide toxicity prediction is a critical task in biomedical research, influencing drug safety and therapeutic development. Traditional methods, relying on sequence similarity or handcrafted features, struggle to capture the complex relationship betw...
Humans Protein Conformation Proteins Models, Molecular Amino Acid Sequence Neural Networks, Computer Peptides Deep Learning
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Deep Learning-Enhanced Hand-Driven Spatial Encoding Microfluidics for Multiplexed Molecular Testing at Home.

ACS nano Jul 8, 2025
The frequent global outbreaks of viral infectious diseases have significantly heightened the urgent demand for molecular testing at home. However, the labor-intensive sample preparation and nucleic acid amplification steps, along with the complexity ...
Microfluidics SARS-CoV-2 Lab-On-A-Chip Devices Humans Deep Learning COVID-19 Nucleic Acid Amplification Techniques
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Deep Learning-Based Classification of NSCLC-Derived Extracellular Vesicles Using AFM Nanomechanical Signatures.

Analytical chemistry Jul 8, 2025
Nonsmall cell lung cancer (NSCLC) remains a leading cause of cancer-related mortality, with liquid biopsy emerging as a promising tool for noninvasive diagnostics. Extracellular vesicles (EVs) serve as molecular messengers of the tumor microenvironme...
Extracellular Vesicles Carcinoma, Non-Small-Cell Lung Mutation Deep Learning Cell Line, Tumor Lung Neoplasms Humans Microscopy, Atomic Force
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