AIMC Topic: Algorithms

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Personalized prediction of gait freezing using dynamic mode decomposition.

Scientific reports May 28, 2025
Freezing of gait (FoG) is a common severe gait disorder in patients with advanced Parkinson's disease. The ability to predict the onset of FoG episodes early on allows for timely intervention, which is essential for improving the life quality of pati...
Male Deep Learning Parkinson Disease Gait Gait Disorders, Neurologic Algorithms Female Aged Humans Machine Learning
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Improving ACS prediction in T2DM patients by addressing false records in electronic medical records using propensity score.

Scientific reports May 28, 2025
Our study aims to improve the prediction performance of machine learning (ML) models by addressing false records (i.e., false positive, false negative, or missingness) in binary categorical variables in electronic medical records (EMRs) using propens...
Electronic Health Records Republic of Korea Female Machine Learning Algorithms Comorbidity Diabetes Mellitus, Type 2 Propensity Score Aged Male Middle Aged Humans
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An automatic approach for the classification of lumpy skin disease in cattle.

Tropical animal health and production May 28, 2025
Lumpy Skin Disease (LSD) presents significant risks and economic challenges to global cattle farming. Effective and accurate classification of LSD is essential for managing the disease and reducing its impacts. Manual diagnosis is time-consuming, lab...
Cattle Support Vector Machine Lumpy Skin Disease Machine Learning Algorithms Animals
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RETINA: Reconstruction-based pre-trained enhanced TransUNet for electron microscopy segmentation on the CEM500K dataset.

PLoS computational biology May 28, 2025
Electron microscopy (EM) has revolutionized our understanding of cellular structures at the nanoscale. Accurate image segmentation is required for analyzing EM images. While manual segmentation is reliable, it is labor-intensive, incentivizing the de...
Image Processing, Computer-Assisted Computational Biology Retina Microscopy, Electron Humans Algorithms Neural Networks, Computer Databases, Factual Deep Learning
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Identification of mitophagy-related biomarkers in severe acute pancreatitis: integration of WGCNA, machine learning algorithms and scRNA-seq.

Frontiers in immunology May 28, 2025
BACKGROUND: Mitophagy is a highly conserved cellular process in eukaryotic cells that selectively clears dysfunctional or damaged mitochondria through autophagy mechanisms to maintain mitochondrial homeostasis. However, the role of mitophagy in the p...
Humans Machine Learning Algorithms Biomarkers Single-Cell Gene Expression Analysis Mice Single-Cell Analysis Disease Models, Animal Animals Computational Biology RNA-Seq Pancreatitis Gene Expression Profiling Gene Regulatory Networks Mitophagy
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Characteristic genes and immune landscape of interstitial cystitis.

PloS one May 28, 2025
BACKGROUND: Interstitial cystitis (IC) was still a disease with the exclusive diagnosis and lacked an effective gold standard. It was of great significance to find diagnostic markers for IC. Our study was aimed to screen characteristic genes via mach...
Adaptor Proteins, Signal Transducing Urinary Bladder Cystitis, Interstitial Algorithms Gene Expression Profiling ROC Curve Humans Machine Learning
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scE2EGAE: enhancing single-cell RNA-Seq data analysis through an end-to-end cell-graph-learnable graph autoencoder with differentiable edge sampling.

Biology direct May 27, 2025
BACKGROUND: Single-cell RNA sequencing (scRNA-Seq) technology reveals biological processes and molecular-level genomic information among individual cells. Numerous computational methods, including methods based on graph neural networks (GNNs), have b...
Autoencoder Humans Neural Networks, Computer Algorithms Single-Cell Gene Expression Analysis Software Single-Cell Analysis Sequence Analysis, RNA RNA-Seq
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Reliable protein-protein docking with AlphaFold, Rosetta, and replica exchange.

eLife May 27, 2025
Despite the recent breakthrough of AlphaFold (AF) in the field of protein sequence-to-structure prediction, modeling protein interfaces and predicting protein complex structures remains challenging, especially when there is a significant conformation...
Protein Conformation Software Protein Folding Protein Binding Algorithms Computational Biology Molecular Docking Simulation Proteins
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A new dataset for measuring the performance of blood vessel segmentation methods under distribution shifts.

PloS one May 27, 2025
Creating a dataset for training supervised machine learning algorithms can be a demanding task. This is especially true for blood vessel segmentation since one or more specialists are usually required for image annotation, and creating ground truth l...
Humans Algorithms Supervised Machine Learning Blood Vessels Databases, Factual Image Processing, Computer-Assisted Microscopy, Fluorescence
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Image key information processing using convolutional neural network and rotational invariant-hierarchical max pooling algorithm.

PloS one May 27, 2025
In the information age, the effectiveness of image processing determines the quality of a large number of image analysis tasks. A fusion algorithm-based processing technique was proposed to process key image information. A feature dictionary was intr...
Algorithms Humans Convolutional Neural Networks Neural Networks, Computer Image Processing, Computer-Assisted
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