AIMC Topic: Neural Networks, Computer

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Machine Learning Based Quantitative Structure-Dissolution Profile Relationship.

Journal of chemical information and modeling Jun 5, 2025
Determining accurate drug dissolution processes in the gastrointestinal tract is critical in drug discovery as dissolution profiles provide essential information for estimating the bioavailability of orally administered drugs. While various methods h...
Neural Networks, Computer Solubility Sodium Dodecyl Sulfate Quantitative Structure-Activity Relationship Surface-Active Agents Pharmaceutical Preparations Machine Learning
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StrokeNeXt: an automated stroke classification model using computed tomography and magnetic resonance images.

BMC medical imaging Jun 5, 2025
BACKGROUND AND OBJECTIVE: Stroke ranks among the leading causes of disability and death worldwide. Timely detection can reduce its impact. Machine learning delivers powerful tools for image‑based diagnosis. This study introduces StrokeNeXt, a lightwe...
Magnetic Resonance Imaging Machine Learning Stroke Algorithms Humans Tomography, X-Ray Computed Neural Networks, Computer
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Detecting genetic interactions with visible neural networks.

Communications biology Jun 5, 2025
Non-linear interactions among single nucleotide polymorphisms (SNPs), genes, and pathways play an important role in human diseases, but identifying these interactions is a challenging task. Neural networks are state-of-the-art predictors in many doma...
Polymorphism, Single Nucleotide Epistasis, Genetic Case-Control Studies Genome-Wide Association Study Neural Networks, Computer Humans Inflammatory Bowel Diseases
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A 3D lightweight network with Roberts edge enhancement model (LR-Net) for brain tumor segmentation.

Scientific reports Jun 5, 2025
In clinical medicine, a reliable and resource-friendly computer-aided diagnosis (CAD) method for brain tumor segmentation is essential to enhance diagnostic accuracy and therapeutic outcomes, particularly in regions with uneven healthcare resource di...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Brain Neoplasms Diagnosis, Computer-Assisted Neural Networks, Computer Imaging, Three-Dimensional Algorithms
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GNNs surpass transformers in tumor medical image segmentation.

Scientific reports Jun 5, 2025
To assess the suitability of Transformer-based architectures for medical image segmentation and investigate the potential advantages of Graph Neural Networks (GNNs) in this domain. We analyze the limitations of the Transformer, which models medical i...
Neoplasms Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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Designing diverse and high-performance proteins with a large language model in the loop.

PLoS computational biology Jun 5, 2025
We present a protein engineering approach to directed evolution with machine learning that integrates a new semi-supervised neural network fitness prediction model, Seq2Fitness, and an innovative optimization algorithm, biphasic annealing for diverse...
Neural Networks, Computer Algorithms Protein Engineering Computational Biology Machine Learning Large Language Models Proteins Mutation
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Machine learning-based prediction model for cognitive impairment risk in patients with chronic kidney disease.

PloS one Jun 5, 2025
BACKGROUND: The high prevalence of cognitive impairment (CI) in Chronic kidney disease (CKD) patients impacts their quality of life and prognosis, yet risk prediction models for CI in this population remain underexplored.
Longitudinal Studies Renal Insufficiency, Chronic Support Vector Machine Neural Networks, Computer Machine Learning Humans Cognitive Dysfunction Middle Aged Male Female Algorithms China Logistic Models Risk Factors Risk Assessment Prognosis Aged
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Adaptive network steganography using deep learning and multimedia video analysis for enhanced security and fidelity.

PloS one Jun 5, 2025
This study presents an advanced adaptive network steganography paradigm that integrates deep learning methodologies with multimedia video analysis to enhance the universality and security of network steganography practices. The proposed approach util...
Computer Security Multimedia Algorithms Deep Learning Video Recording Signal-To-Noise Ratio Image Processing, Computer-Assisted Humans Neural Networks, Computer
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A descriptor-free machine learning framework to improve antigen discovery for bacterial pathogens.

PloS one Jun 5, 2025
Identifying protective antigens (PAs), i.e., targets for bacterial vaccines, is challenging as conducting in-vivo tests at the proteome scale is impractical. Reverse Vaccinology (RV) aids in narrowing down the pool of candidates through computational...
Neural Networks, Computer Machine Learning Software Bacterial Vaccines Vaccinology Computational Biology Antigens, Bacterial Bacteria
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Shining Light on DNA Mutations through Machine Learning-Augmented Vibrational Spectroscopy.

Analytical chemistry Jun 4, 2025
A method to directly predict the number of nucleic acid bases in a single-stranded DNA (ssDNA) or a genomic DNA has been proposed with a combination of Raman spectroscopy and an Artificial Neural Network (ANN) algorithm. In this work, the algorithm w...
Neural Networks, Computer DNA, Single-Stranded Spectrum Analysis, Raman DNA Mutation Machine Learning Algorithms
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