AIMC Topic: Algorithms

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Generative AI for predictive breeding: hopes and caveats.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Jun 11, 2025
Among the broad area of artificial intelligence (AI), generative AI algorithms have emerged as a revolutionary technology able to produce highly realistic 'synthetic' data, akin to standard simulation but with fewer contraints. The main focus of gene...
Genotype Models, Genetic Plant Breeding Phenotype Computer Simulation Artificial Intelligence Algorithms
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Advancing artificial intelligence applicability in endoscopy through source-agnostic camera signal extraction from endoscopic images.

PloS one Jun 11, 2025
INTRODUCTION: Successful application of artificial intelligence (AI) in endoscopy requires effective image processing. Yet, the plethora of sources for endoscopic images, such as different processor-endoscope combinations or capsule endoscopy devices...
Endoscopy Image Processing, Computer-Assisted Artificial Intelligence Algorithms Capsule Endoscopy Humans
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A novel approach combining YOLO and DeepSORT for detecting and counting live fish in natural environments through video.

PloS one Jun 11, 2025
Applying Artificial Intelligence (AI) to the monitoring of live fish in natural environments represents a promising approach to the sustainable management of aquatic resources. Detecting and counting fish in water through video analysis is crucial fo...
Video Recording Coral Reefs Environmental Monitoring Fishes Algorithms Animals Image Processing, Computer-Assisted Artificial Intelligence
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Tailored knowledge distillation with automated loss function learning.

PloS one Jun 11, 2025
Knowledge Distillation (KD) is one of the most effective and widely used methods for model compression of large models. It has achieved significant success with the meticulous development of distillation losses. However, most state-of-the-art KD loss...
Humans Neural Networks, Computer Algorithms Learning Machine Learning Knowledge Distillation
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Identifying determinants of under-5 mortality in Bangladesh: A machine learning approach with BDHS 2022 data.

PloS one Jun 11, 2025
BACKGROUND: Under-5 mortality in Bangladesh remains a critical indicator of public health and socio-economic development. Traditional methods often struggle to capture the complex, non-linear relationships influencing under-5 mortality. This study le...
Infant Mortality Bangladesh Health Surveys Child Mortality Infant Child, Preschool Algorithms Female Adult Male Infant, Newborn Humans Machine Learning
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Non-end-to-end adaptive graph learning for multi-scale temporal traffic flow prediction.

PloS one Jun 11, 2025
Accurate traffic flow prediction is vital for intelligent transportation systems but presents significant challenges. Existing methods, however, have the following limitations: (1) insufficient exploration of interactions across different temporal sc...
Transportation Machine Learning Algorithms Humans Neural Networks, Computer
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Chinese medical named entity recognition based on multimodal information fusion and hybrid attention mechanism.

PloS one Jun 11, 2025
Chinese Medical Named Entity Recognition (CMNER) seeks to identify and extract medical entities from unstructured medical texts. Existing methods often depend on single-modality representations and fail to fully exploit the complementary nature of di...
Humans East Asian People Natural Language Processing Algorithms China
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Machine learning driven biomarker selection for medical diagnosis.

PloS one Jun 11, 2025
Recent advances in experimental methods have enabled researchers to collect data on thousands of analytes simultaneously. This has led to correlational studies that associated molecular measurements with diseases such as Alzheimer's, Liver, and Gastr...
Humans Logistic Models Biomarkers Sensitivity and Specificity Machine Learning Algorithms
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Detecting the clinical features of difficult-to-treat depression using synthetic data from large language models.

Computers in biology and medicine Jun 10, 2025
Difficult-to-treat depression (DTD) has been proposed as a broader and more clinically comprehensive perspective on a person's depressive disorder where, despite treatment, they continue to experience significant burden. We sought to develop a tool c...
Humans Algorithms Data Mining Large Language Models Depressive Disorder, Treatment-Resistant Electronic Health Records Natural Language Processing
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SCATrans: semantic cross-attention transformer for drug-drug interaction predication through multimodal biomedical data.

BMC bioinformatics Jun 10, 2025
Predicting potential drug-drug interactions (DDIs) from biomedical data plays a critical role in drug therapy, drug development, drug regulation, and public health. However, it remains challenging due to the large number of possible drug combinations...
Drug Interactions Semantics Humans Deep Learning Computational Biology Algorithms
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