AIMC Topic: Deep Learning

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Integrating deep learning with ECG, heart rate variability and demographic data for improved detection of atrial fibrillation.

Open heart Mar 31, 2025
BACKGROUND: Atrial fibrillation (AF) is a common but often undiagnosed condition, increasing the risk of stroke and heart failure. Early detection is crucial, yet traditional methods struggle with AF's transient nature. This study investigates how au...
Female Reproducibility of Results Aged Deep Learning Electrocardiography Male Middle Aged Humans Databases, Factual Predictive Value of Tests Atrial Fibrillation Heart Rate
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Unsupervised Deep Learning of Electronic Health Records to Characterize Heterogeneity Across Alzheimer Disease and Related Dementias: Cross-Sectional Study.

JMIR aging Mar 31, 2025
BACKGROUND: Alzheimer disease and related dementias (ADRD) exhibit prominent heterogeneity. Identifying clinically meaningful ADRD subtypes is essential for tailoring treatments to specific patient phenotypes.
Male Middle Aged Deep Learning Dementia Unsupervised Machine Learning Alzheimer Disease Aged Aged, 80 and over Cross-Sectional Studies Humans Electronic Health Records Female
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Parallel convolutional neural networks for non-invasive cardiac hemodynamic estimation: integrating uncalibrated PPG signals with nonlinear feature analysis.

Physiological measurement Mar 31, 2025
Understanding cardiac hemodynamic status (CHS) is essential for accurate cardiovascular health assessment, as it is governed by key parameters such as cardiac output (CO), systemic vascular resistance (SVR), and arterial compliance (AC). This study a...
Adult Male Middle Aged Humans Neural Networks, Computer Female Photoplethysmography Signal Processing, Computer-Assisted Heart Nonlinear Dynamics Hemodynamics Deep Learning Convolutional Neural Networks
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Anticancer drug response prediction integrating multi-omics pathway-based difference features and multiple deep learning techniques.

PLoS computational biology Mar 31, 2025
Individualized prediction of cancer drug sensitivity is of vital importance in precision medicine. While numerous predictive methodologies for cancer drug response have been proposed, the precise prediction of an individual patient's response to drug...
Antineoplastic Agents Deep Learning Humans Cell Line, Tumor Precision Medicine Genomics Multiomics Neoplasms Computational Biology DNA Copy Number Variations
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A weakly supervised deep learning framework for automated PD-L1 expression analysis in lung cancer.

Frontiers in immunology Mar 31, 2025
The growing application of immune checkpoint inhibitors (ICIs) in cancer immunotherapy has underscored the critical need for reliable methods to identify patient populations likely to respond to ICI treatments, particularly in lung cancer treatment. ...
Immune Checkpoint Inhibitors Humans Lung Neoplasms Biomarkers, Tumor B7-H1 Antigen Deep Learning
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Analysis of Deep Learning Techniques for Vehicle Detection and Reidentification Using Data from Multiple Drones and Public Datasets.

Anais da Academia Brasileira de Ciencias Mar 31, 2025
The detection and re-identification of vehicles in dynamic environments, such as highways monitored by a swarm of drones, presents significant challenges, particularly due to the variability of images captured from different angles and under various ...
Humans Neural Networks, Computer Algorithms Deep Learning
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An Early Thyroid Screening Model Based on Transformer and Secondary Transfer Learning for Chest and Thyroid CT Images.

Technology in cancer research & treatment Mar 31, 2025
IntroductionThyroid cancer is a common malignant tumor, and early diagnosis and timely treatment are crucial to improve patient prognosis. With the increasing use of enhanced CT scans, a new opportunity for early thyroid cancer screening has emerged....
Male Middle Aged Deep Learning Tomography, X-Ray Computed ROC Curve China Humans Early Detection of Cancer Algorithms Thyroid Gland Female Thyroid Neoplasms Adult
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Model interpretability on private-safe oriented student dropout prediction.

PloS one Mar 31, 2025
Student dropout is a significant social issue with extensive implications for individuals and society, including reduced employability and economic downturns, which, in turn, drastically influence social sustainable development. Identifying students ...
Student Dropouts Students Deep Learning Privacy Humans Machine Learning
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Deep Learning and Radiomics Discrimination of Coronary Chronic Total Occlusion and Subtotal Occlusion using CTA.

Academic radiology Mar 30, 2025
RATIONALE AND OBJECTIVES: Coronary chronic total occlusion (CTO) and subtotal occlusion (STO) pose diagnostic challenges, differing in treatment strategies. Artificial intelligence and radiomics are promising tools for accurate discrimination. This s...
Radiomics Male Middle Aged Retrospective Studies Humans Female Sensitivity and Specificity Coronary Angiography Deep Learning Radiographic Image Interpretation, Computer-Assisted Coronary Occlusion Diagnosis, Differential Computed Tomography Angiography Chronic Disease
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Predicting protein-protein interaction with interpretable bilinear attention network.

Computer methods and programs in biomedicine Mar 30, 2025
BACKGROUND AND OBJECTIVE: Protein-protein interactions (PPIs) play the key roles in myriad biological processes, helping to understand the protein function and disease pathology. Identification of PPIs and their interaction types through wet experime...
Proteins Databases, Protein Amino Acid Sequence Deep Learning Sequence Analysis, Protein Protein Conformation Humans Protein Binding Protein Interaction Mapping Neural Networks, Computer Computational Biology Algorithms
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