AIMC Topic: Recurrent Neural Networks

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Revisiting the problem of learning long-term dependencies in recurrent neural networks.

Neural networks : the official journal of the International Neural Network Society Nov 26, 2024
Recurrent neural networks (RNNs) are an important class of models for learning sequential behavior. However, training RNNs to learn long-term dependencies is a tremendously difficult task, and this difficulty is widely attributed to the vanishing and...
Humans Neural Networks, Computer Learning Recurrent Neural Networks
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BiRNN-DDI: A Drug-Drug Interaction Event Type Prediction Model Based on Bidirectional Recurrent Neural Network and Graph2Seq Representation.

Journal of computational biology : a journal of computational molecular cell biology Jul 25, 2024
Research on drug-drug interaction (DDI) prediction, particularly in identifying DDI event types, is crucial for understanding adverse drug reactions and drug combinations. This work introduces a Bidirectional Recurrent Neural Network model for DDI ev...
Humans Drug Interactions Neural Networks, Computer Recurrent Neural Networks Algorithms Computational Biology
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Identification and segregation of genes with improved recurrent neural network trained with optimal gene level and mutation level features.

Computer methods in biomechanics and biomedical engineering Feb 29, 2024
Even though many different approaches have been employed to address the complex mutational heterogeneity of cancer, finding driver genes is still problematic since other genomic factors cannot be fully integrated for combined analyses. This research ...
Algorithms Mutation Recurrent Neural Networks Humans Neural Networks, Computer
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The Impact of the COVID-19 Pandemic on Stock Market Performance in G20 Countries: Evidence from Long Short-Term Memory with a Recurrent Neural Network Approach.

Big data Dec 20, 2023
In light of developing and industrialized nations, the G20 economies account for a whopping two-thirds of the world's population and are the largest economies globally. Public emergencies have occasionally arisen due to the rapid spread of COVID-19 g...
China Saudi Arabia Pandemics Developing Countries Humans COVID-19 Investments Neural Networks, Computer SARS-CoV-2 Recurrent Neural Networks
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Lower Extremity Bypass Surveillance and Peak Systolic Velocities Value Prediction Using Recurrent Neural Networks.

Studies in health technology and informatics Aug 7, 2025
Routine duplex ultrasound surveillance is recommended after femoral-popliteal and femoral-tibial-pedal vein bypass grafts at various post-operative intervals. Currently, there is no systematic method for bypass graft surveillance using a set of peak ...
Female Aged Male Humans Graft Occlusion, Vascular Middle Aged Ultrasonography, Doppler, Duplex Recurrent Neural Networks Lower Extremity Blood Flow Velocity Neural Networks, Computer
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Automated atomic force microscopy analysis using convolutional and recurrent neural networks.

Biophysical journal Jun 17, 2025
Atomic force microscope (AFM) indentation allows high-resolution spatial characterization of biomechanical properties of cells and tissues. Rapid, reproducible, and quantitative analysis of AFM force curves has been challenging due to several technic...
Algorithms Humans Recurrent Neural Networks Microscopy, Atomic Force Neural Networks, Computer Automation
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BigLSTM: Recurrent neural network for the treatment of anomalous temporal signals. Application in the prediction of endotracheal obstruction in COVID-19 patients in the intensive care unit.

Computers in biology and medicine Jun 1, 2025
Real-world applications, particularly in the medical field, often handle irregular time signals (ITS) with non-uniform intervals between measurements. These irregularities arise due to missing data, inconsistent sampling frequencies, and multi-sensor...
Signal Processing, Computer-Assisted Airway Obstruction Recurrent Neural Networks Male Middle Aged Neural Networks, Computer COVID-19 Female SARS-CoV-2 Intensive Care Units Humans
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Development and validation of an integrated residual-recurrent neural network model for automated heart murmur detection in pediatric populations.

Scientific reports May 31, 2025
Congenital heart disease affects approximately 1% of children worldwide, with a number of cases in resource-limited settings remaining undiagnosed through school age. While cardiac auscultation is a key screening method, its effectiveness varies wide...
Heart Murmurs Recurrent Neural Networks Heart Defects, Congenital Heart Auscultation Infant Child, Preschool Female Humans Deep Learning Child Adolescent Sensitivity and Specificity Neural Networks, Computer Male
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PROFIS: Design of Target-Focused Libraries by Probing Continuous Fingerprint Space with Recurrent Neural Networks.

Journal of chemical information and modeling May 12, 2025
This study introduces PROFIS, a new generative model capable of the design of structurally novel and target-focused compound libraries. The model relies on a recurrent neural network that was trained to decode embedded molecular fingerprints into SMI...
Bayes Theorem Ligands Receptors, Dopamine D2 Recurrent Neural Networks Small Molecule Libraries Neural Networks, Computer Drug Design
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Recurrent Neural Network/Machine Learning Predictions of Reactive Channels in H + CH at E = 30 eV: A Prototype of Ion Cancer Therapy Reactions.

Journal of computational chemistry Feb 15, 2025
We present a simplest-level electron nuclear dynamics/machine learning (SLEND/ML) approach to predict chemical properties in ion cancer therapy (ICT) reactions. SLEND is a time-dependent, variational, on-the-fly, and nonadiabatic method. In SLEND, nu...
Recurrent Neural Networks Neural Networks, Computer Humans Machine Learning Electrons Neoplasms Hydrogen
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