AIMC Topic: Deep Learning

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scMDCL: A Deep Collaborative Contrastive Learning Framework for Matched Single-Cell Multiomics Data Clustering.

Journal of chemical information and modeling Mar 11, 2025
Single-cell multiomics clustering integrates multiple omics data to analyze cellular heterogeneity and is crucial for uncovering complex biological processes and disease mechanisms. However, existing matched single-cell multiomics clustering methods ...
Humans Computational Biology Multiomics Cluster Analysis Deep Learning Single-Cell Analysis
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A Novel Explainable Attention-Based Meta-Learning Framework for Imbalanced Brain Stroke Prediction.

Sensors (Basel, Switzerland) Mar 11, 2025
The accurate prediction of brain stroke is critical for effective diagnosis and management, yet the imbalanced nature of medical datasets often hampers the performance of conventional machine learning models. To address this challenge, we propose a n...
Artificial Intelligence Machine Learning Brain Deep Learning Algorithms Humans Stroke Attention
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Identification of People in a Household Using Ballistocardiography Signals Through Deep Learning.

Sensors (Basel, Switzerland) Mar 11, 2025
BACKGROUND: Various sensor technologies have been developed to monitor the health of older adults; however, most of them require attachment to the skin. This study aimed to develop a health monitoring system, using a non-adhesive, non-invasive polyvi...
Ballistocardiography Humans Adult Neural Networks, Computer Monitoring, Physiologic Deep Learning Female Male Signal Processing, Computer-Assisted
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RBPsuite 2.0: an updated RNA-protein binding site prediction suite with high coverage on species and proteins based on deep learning.

BMC biology Mar 11, 2025
BACKGROUND: RNA-binding proteins (RBPs) play crucial roles in many biological processes, and computationally identifying RNA-RBP interactions provides insights into the biological mechanism of diseases associated with RBPs.
Computational Biology RNA-Binding Proteins Binding Sites RNA, Circular RNA Software Deep Learning Humans
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Efficient deep learning-based tomato leaf disease detection through global and local feature fusion.

BMC plant biology Mar 11, 2025
In the context of intelligent agriculture, tomato cultivation involves complex environments, where leaf occlusion and small disease areas significantly impede the performance of tomato leaf disease detection models. To address these challenges, this ...
Solanum lycopersicum Plant Diseases Deep Learning Plant Leaves
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Applications of Artificial Intelligence in Constrictive Pericarditis: A Short Literature Review.

Current cardiology reports Mar 11, 2025
PURPOSE OF REVIEW: Constrictive pericarditis (CP) is a potentially curable condition characterized by the thickening, scarring, and calcification of the pericardium. A comprehensive approach, including clinical evaluations and imaging techniques such...
Pericarditis, Constrictive Echocardiography Humans Deep Learning Artificial Intelligence
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Power absorption and temperature rise in deep learning based head models for local radiofrequency exposures.

Physics in medicine and biology Mar 11, 2025
Computational uncertainty and variability of power absorption and temperature rise in humans for radiofrequency (RF) exposure is a critical factor in ensuring human protection. This aspect has been emphasized as a priority. However, accurately modeli...
Humans Radiation Exposure Absorption, Radiation Deep Learning Radio Waves Temperature Magnetic Resonance Imaging Head Radiometry
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Low-dose CT reconstruction using cross-domain deep learning with domain transfer module.

Physics in medicine and biology Mar 11, 2025
. X-ray computed tomography employing low-dose x-ray source is actively researched to reduce radiation exposure. However, the reduced photon count in low-dose x-ray sources leads to severe noise artifacts in analytic reconstruction methods like filte...
Deep Learning Image Processing, Computer-Assisted Radiation Dosage Humans Tomography, X-Ray Computed
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Multimodal deep learning for predicting PD-L1 biomarker and clinical immunotherapy outcomes of esophageal cancer.

Frontiers in immunology Mar 11, 2025
Although the immune checkpoint inhibitors (ICIs) have demonstrated remarkable anti-tumor efficacy in solid tumors, the proportion of ESCC patients who benefit from ICIs remains limited. Current biomarkers have assisted in identifying potential respon...
Esophageal Neoplasms Immunotherapy Treatment Outcome Male Middle Aged Aged Immune Checkpoint Inhibitors Humans Deep Learning Biomarkers, Tumor Female B7-H1 Antigen
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Iris Geometric Transformation Guided Deep Appearance-Based Gaze Estimation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Mar 11, 2025
The geometric alterations in the iris's appearance are intricately linked to the gaze direction. However, current deep appearance-based gaze estimation methods mainly rely on latent feature sharing to leverage iris features for improving deep represe...
Fixation, Ocular Image Processing, Computer-Assisted Iris Humans Male Neural Networks, Computer Eye-Tracking Technology Algorithms Deep Learning
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