AIMC Topic: Deep Learning

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Review of 2024 publications on the applications of artificial intelligence in rheumatology.

Clinical rheumatology Feb 27, 2025
The integration of artificial intelligence (AI) into rheumatology has revolutionized research and clinical practice, offering transformative advancements in diagnostics, biomarker discovery, genomics, digital health technologies, and personalized med...
Deep Learning Rheumatic Diseases Rheumatology Artificial Intelligence Precision Medicine Humans
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Transfer learning reveals sequence determinants of the quantitative response to transcription factor dosage.

Cell genomics Feb 27, 2025
Deep learning models have advanced our ability to predict cell-type-specific chromatin patterns from transcription factor (TF) binding motifs, but their application to perturbed contexts remains limited. We applied transfer learning to predict how co...
Nucleosomes SOX9 Transcription Factor Protein Binding Mice Humans Binding Sites Animals Chromatin Transcription Factors Deep Learning
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GLMCyp: A Deep Learning-Based Method for CYP450-Mediated Reaction Site Prediction.

Journal of chemical information and modeling Feb 27, 2025
Cytochrome P450 enzymes (CYP450s) play crucial roles in metabolizing many drugs, and thus, local chemical structure can profoundly influence drug efficacy and toxicity. Therefore, the accurate prediction of CYP450-mediated reaction sites can increase...
Drug Discovery Deep Learning Cytochrome P-450 Enzyme System Humans
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Deep Learning for Ultrasonographic Assessment of Temporomandibular Joint Morphology.

Tomography (Ann Arbor, Mich.) Feb 27, 2025
BACKGROUND: Temporomandibular joint (TMJ) disorders are a significant cause of orofacial pain. Artificial intelligence (AI) has been successfully applied to other imaging modalities but remains underexplored in ultrasonographic evaluations of TMJ.
Male Temporomandibular Joint Female Ultrasonography Reproducibility of Results Mandibular Condyle Middle Aged Humans Adult Temporomandibular Joint Disorders Algorithms Deep Learning
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Joint Driver State Classification Approach: Face Classification Model Development and Facial Feature Analysis Improvement.

Sensors (Basel, Switzerland) Feb 27, 2025
Driver drowsiness remains a critical factor in road safety, necessitating the development of robust detection methodologies. This study presents a dual-framework approach that integrates a convolutional neural network (CNN) and a facial landmark anal...
Sleep Stages Humans Accidents, Traffic Automobile Driving Deep Learning Neural Networks, Computer Face Image Processing, Computer-Assisted Algorithms
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Application of Multiple Deep Learning Architectures for Emotion Classification Based on Facial Expressions.

Sensors (Basel, Switzerland) Feb 27, 2025
Facial expression recognition (FER) is essential for discerning human emotions and is applied extensively in big data analytics, healthcare, security, and user experience enhancement. This study presents a comprehensive evaluation of ten state-of-the...
Facial Expression Algorithms Deep Learning Emotions Humans
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Gesture Recognition Achieved by Utilizing LoRa Signals and Deep Learning.

Sensors (Basel, Switzerland) Feb 27, 2025
This study proposes a novel gesture recognition system based on LoRa technology, integrating advanced signal preprocessing, adaptive segmentation algorithms, and an improved SS-ResNet50 deep learning model. Through the combination of residual learnin...
Humans Deep Learning Gestures Algorithms Signal Processing, Computer-Assisted Pattern Recognition, Automated
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Predicting the efficacy of neoadjuvant chemotherapy in breast cancer patients based on ultrasound longitudinal temporal depth network fusion model.

Breast cancer research : BCR Feb 27, 2025
OBJECTIVE: The aim of this study was to develop and validate a deep learning radiomics (DLR) model based on longitudinal ultrasound data and clinical features to predict pathologic complete response (pCR) after neoadjuvant chemotherapy (NAC) in breas...
Treatment Outcome Neoadjuvant Therapy Ultrasonography, Mammary Ultrasonography Antineoplastic Combined Chemotherapy Protocols Chemotherapy, Adjuvant Aged Adult Middle Aged Deep Learning Breast Neoplasms Humans Prognosis Female
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Development of an artificial intelligence-based multimodal diagnostic system for early detection of biliary atresia.

BMC medicine Feb 27, 2025
BACKGROUND: Early diagnosis of biliary atresia (BA) is crucial for improving patient outcomes, yet remains a significant global challenge. This challenge may be ameliorated through the application of artificial intelligence (AI). Despite the promise ...
Artificial Intelligence Prospective Studies Retrospective Studies Humans Ultrasonography Early Diagnosis Biliary Atresia Male Infant Deep Learning Female Infant, Newborn
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MultiCycPermea: accurate and interpretable prediction of cyclic peptide permeability using a multimodal image-sequence model.

BMC biology Feb 27, 2025
BACKGROUND: Cyclic peptides, known for their high binding affinity and low toxicity, show potential as innovative drugs for targeting "undruggable" proteins. However, their therapeutic efficacy is often hindered by poor membrane permeability. Over th...
Peptides, Cyclic Deep Learning Permeability
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