AIMC Topic: Convolutional Neural Networks

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DTC-m6Am: A Framework for Recognizing N6,2'-O-dimethyladenosine Sites in Unbalanced Classification Patterns Based on DenseNet and Attention Mechanisms.

Frontiers in bioscience (Landmark edition) Apr 24, 2025
BACKGROUND: mAm is a specific RNA modification that plays an important role in regulating mRNA stability, translational efficiency, and cellular stress response. mAm's precise identification is essential to gain insight into its functional mechanisms...
Transcriptome Deep Learning Convolutional Neural Networks Computational Biology Adenosine Humans
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Leveraging Convolutional Neural Networks for Predicting Symptom Escalation in Chemotherapy Patients: A Temporal Resampling Approach.

Studies in health technology and informatics Apr 8, 2025
This paper introduces a novel approach for predicting symptom escalation in chemotherapy patients by leveraging Convolutional Neural Networks (CNNs). Accurate forecasting of symptom escalation is crucial in cancer care, as it enables timely intervent...
Antineoplastic Agents Convolutional Neural Networks Symptom Assessment Neural Networks, Computer Neoplasms Humans
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NAD_MCNN: Combining Protein Language Models and Multiwindow Convolutional Neural Networks for Deacetylase NAD+ Binding Site Prediction.

Chemical biology & drug design Apr 1, 2025
Sirtuins, a class of NAD+ -dependent deacetylases, play a key role in aging, metabolism, and longevity. Their interaction with NAD+ at the catalytic site is crucial for function, but experimental methods to map NAD+ binding sites are time consuming. ...
Binding Sites NAD Sirtuins Humans Neural Networks, Computer Convolutional Neural Networks
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MlyPredCSED: based on extreme point deviation compensated clustering combined with cross-scale convolutional neural networks to predict multiple lysine sites in human.

Briefings in bioinformatics Mar 4, 2025
In post-translational modification, covalent bonds on lysine and attached chemical groups significantly change proteins' physical and chemical properties. They shape protein structures, enhance function and stability, and are vital for physiological ...
Convolutional Neural Networks Computational Biology Cluster Analysis Software Algorithms Protein Processing, Post-Translational Proteins Lysine Humans Neural Networks, Computer
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MIRACN: a residual convolutional neural network for predicting cell line specific functional regulatory variants.

Briefings in bioinformatics Mar 4, 2025
In post-genome-wide association study era, interpretation of noncoding variants remains a significant challenge due to their complexity and the limited understanding of their functions. Here, we developed MIRACN, a novel residual convolutional neural...
Humans Neural Networks, Computer Convolutional Neural Networks Cell Line Genome-Wide Association Study Genetic Variation Computational Biology
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[Research on multi-scale convolutional neural network hand muscle strength prediction model improved based on convolutional attention module].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Feb 25, 2025
In order to realize the quantitative assessment of muscle strength in hand function rehabilitation and then formulate scientific and effective rehabilitation training strategies, this paper constructs a multi-scale convolutional neural network (MSCNN...
Muscle Strength Convolutional Neural Networks Humans Hand Support Vector Machine Neural Networks, Computer Hand Strength
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PNL: a software to build polygenic risk scores using a super learner approach based on PairNet, a Convolutional Neural Network.

Bioinformatics (Oxford, England) Feb 4, 2025
SUMMARY: Polygenic risk scores (PRSs) hold promise for early disease diagnosis and personalized treatment, but their overall discriminative power remains limited for many diseases in the general population. As a result, numerous novel PRS modeling te...
Convolutional Neural Networks Diabetes Mellitus, Type 2 Genetic Predisposition to Disease Algorithms Asthma Humans Neural Networks, Computer Software Multifactorial Inheritance Genetic Risk Score
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An Efficient Lightweight Multi Head Attention Gannet Convolutional Neural Network Based Mammograms Classification.

The international journal of medical robotics + computer assisted surgery : MRCAS Feb 1, 2025
BACKGROUND: This research aims to use deep learning to create automated systems for better breast cancer detection and categorisation in mammogram images, helping medical professionals overcome challenges such as time consumption, feature extraction ...
Mammography Neural Networks, Computer Deep Learning Humans Radiographic Image Interpretation, Computer-Assisted Algorithms Convolutional Neural Networks Reproducibility of Results Female Image Processing, Computer-Assisted Breast Neoplasms
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Pre-trained convolutional neural network with transfer learning by artificial illustrated images classify power Doppler ultrasound images of rheumatoid arthritis joints.

The Journal of international medical research Feb 1, 2025
OBJECTIVE: To study the classification performance of a pre-trained convolutional neural network (CNN) with transfer learning by artificial joint ultrasonography images in rheumatoid arthritis (RA).
Humans Arthritis, Rheumatoid Ultrasonography, Doppler Neural Networks, Computer Synovitis Retrospective Studies Joints Male Aged Middle Aged Female Adult Convolutional Neural Networks
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INSIGHT: Combining Fixation Visualisations and Residual Neural Networks for Dyslexia Classification From Eye-Tracking Data.

Dyslexia (Chichester, England) Feb 1, 2025
Current diagnostic methods for dyslexia primarily rely on traditional paper-and-pencil tasks. Advanced technological approaches, including eye-tracking and artificial intelligence (AI), offer enhanced diagnostic capabilities. In this paper, we bridge...
Reading Fixation, Ocular Dyslexia Eye-Tracking Technology Convolutional Neural Networks Child Female Male Humans Neural Networks, Computer
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