AIMC Topic: Deep Learning

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A new approach for microbe-disease association prediction: incorporating representation learning of latent relationships.

BMC medical informatics and decision making Jul 18, 2025
BACKGROUND: Predicting associations between microbes and diseases is crucial for clinical diagnosis and therapy. However, biological experiments are time-intensive, necessitating efficient computational models. Traditional models rely on existing mic...
Computational Biology Humans Deep Learning
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A densely connected framework for cancer subtype classification.

BMC bioinformatics Jul 18, 2025
BACKGROUND: Reliable identification of cancer subtypes is crucial for devising personalized treatment strategies. Integrating multi-omics data has proven to be an effective method for analyzing cancer subtypes. By combining molecular information acro...
Kidney Neoplasms Machine Learning Humans Algorithms Neoplasms Deep Learning Computational Biology
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Speech emotion recognition based on a stacked autoencoders optimized by PSO based grass fibrous root optimization.

Scientific reports Jul 18, 2025
Effective speech emotion recognition (SER) poses a significant challenge due to the intricate and subjective nature of human emotions. Recognizing emotional states accurately from speech signals has a broad spectrum of practical applications, such as...
Neural Networks, Computer Algorithms Humans Support Vector Machine Emotions Autoencoder Deep Learning Speech
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A multimodal dataset for training deep learning models aimed at detecting and analyzing sleep apnea.

Scientific data Jul 18, 2025
Sleep Apnea Syndrome (SAS) is a serious respiratory disorder that can lead to a range of complications, including hypertension, arrhythmias, cognitive impair- ment, and metabolic disturbances. Due to the insidious nature of its symptoms, patients oft...
Sleep Apnea Syndromes Polysomnography Humans Deep Learning
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Development of a clinical decision support system for breast cancer detection using ensemble deep learning.

Scientific reports Jul 18, 2025
Advancements in diagnostic technology are required to improve patient outcomes and facilitate early diagnosis, as breast cancer is a substantial global health concern. This research discusses the creation of a unique Deep Learning (DL) Ensemble Deep ...
Humans Female Breast Neoplasms Deep Learning Sensitivity and Specificity Decision Support Systems, Clinical
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Bering: joint cell segmentation and annotation for spatial transcriptomics with transferred graph embeddings.

Nature communications Jul 18, 2025
Single-cell spatial transcriptomics can provide subcellular resolution for a deep understanding of molecular mechanisms. However, accurate segmentation and annotation remain a major challenge that limits downstream analysis. Current machine learning ...
Molecular Sequence Annotation Gene Expression Profiling Transcriptome Single-Cell Analysis Computational Biology Deep Learning Algorithms Animals Humans
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Curating a knowledge base for patients with neurosyphilis: a study protocol of a DEep learning Framework for pErsonalized prediction of Adverse prognosTic events in NeuroSyphilis (DEFEAT-NS).

BMJ open Jul 18, 2025
INTRODUCTION: Adverse prognostic events (APE) of neurosyphilis include ongoing syphilitic meningitis, meningovascular syphilis, parenchymatous neurosyphilis and death. Its complexity and rarity have the potential to result in the underestimated true ...
Neurosyphilis Retrospective Studies Deep Learning Multicenter Studies as Topic Knowledge Bases Longitudinal Studies Research Design Prognosis Humans
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AI-powered skin spectral imaging enables instant sepsis diagnosis and outcome prediction in critically ill patients.

Science advances Jul 18, 2025
With sepsis remaining a leading cause of mortality, early identification of patients with sepsis and those at high risk of death is a challenge of high socioeconomic importance. Given the potential of hyperspectral imaging (HSI) to monitor microcircu...
Neural Networks, Computer Prospective Studies Humans Intensive Care Units Female Aged Prognosis Critical Illness ROC Curve Skin Hyperspectral Imaging Male Middle Aged Deep Learning Sepsis
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Synergistic fusion: An integrated pipeline of CLAHE, YOLO models, and advanced super-resolution for enhanced thermal eye detection.

PloS one Jul 18, 2025
Accurate eye detection in thermal images is essential for diverse applications, including biometrics, healthcare, driver monitoring, and human-computer interaction. However, achieving this accuracy is often hindered by the inherent limitations of the...
Eye Deep Learning Image Processing, Computer-Assisted Humans Algorithms
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A cascade approach for the early detection and localization of myocardial infarction in 2D-echocardiography.

Medical engineering & physics Jul 17, 2025
Myocardial infarction (MI) detection and localization through echocardiography are crucial for effective patient management. However, current diagnostic approaches rely heavily on visual assessment, which can be subjective. In this work we developed ...
Humans Machine Learning Image Processing, Computer-Assisted Myocardial Infarction Early Diagnosis Echocardiography Deep Learning
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