AIMC Topic: Supervised Machine Learning

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A novel data-driven approach for Personas validation in healthcare using self-supervised machine learning.

Journal of biomedical informatics Mar 14, 2025
OBJECTIVE: Persona validation is a challenging task, often relying on costly external validation methods. The aim of this study was the development of a novel method for Personas validation based on data already available during their creation.
Supervised Machine Learning Female Reproducibility of Results Surveys and Questionnaires Cluster Analysis Male Machine Learning Algorithms Delivery of Health Care Humans
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UniSAL: Unified Semi-supervised Active Learning for histopathological image classification.

Medical image analysis Mar 12, 2025
Histopathological image classification using deep learning is crucial for accurate and efficient cancer diagnosis. However, annotating a large amount of histopathological images for training is costly and time-consuming, leading to a scarcity of avai...
Image Interpretation, Computer-Assisted Neural Networks, Computer Algorithms Deep Learning Supervised Machine Learning Neoplasms Humans
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Self-supervised U-transformer network with mask reconstruction for metal artifact reduction.

Physics in medicine and biology Mar 10, 2025
. Metal artifacts severely damaged human tissue information from the computed tomography (CT) image, posing significant challenges to disease diagnosis. Deep learning has been widely explored for the metal artifact reduction (MAR) task. Nevertheless,...
Image Processing, Computer-Assisted Supervised Machine Learning Artifacts Deep Learning Metals Humans Tomography, X-Ray Computed
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Self-supervised learning reveals clinically relevant histomorphological patterns for therapeutic strategies in colon cancer.

Nature communications Mar 8, 2025
Self-supervised learning (SSL) automates the extraction and interpretation of histopathology features on unannotated hematoxylin-eosin-stained whole slide images (WSIs). We train an SSL Barlow Twins encoder on 435 colon adenocarcinoma WSIs from The C...
Female Reproducibility of Results Aged Humans Adenocarcinoma Colonic Neoplasms Supervised Machine Learning Male Middle Aged Chemotherapy, Adjuvant
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Learning Consistent Semantic Representation for Chest X-ray via Anatomical Localization in Self-Supervised Pre-Training.

IEEE journal of biomedical and health informatics Mar 6, 2025
Despite the similar global structures in Chest X-ray (CXR) images, the same anatomy exhibits varying appearances across images, including differences in local textures, shapes, colors, etc. Learning consistent representations for anatomical semantics...
Semantics Radiography, Thoracic Thorax Algorithms Radiographic Image Interpretation, Computer-Assisted Supervised Machine Learning Humans
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A unified approach to medical image segmentation by leveraging mixed supervision and self and transfer learning (MIST).

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Mar 5, 2025
Medical image segmentation is important for quantitative disease diagnosis and treatment but relies on accurate pixel-wise labels, which are costly, time-consuming, and require domain expertise. This work introduces MIST (MIxed supervision, Self, and...
Tomography, X-Ray Computed Image Processing, Computer-Assisted Supervised Machine Learning Machine Learning Algorithms Humans
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TransRM: Weakly supervised learning of translation-enhancing N6-methyladenosine (mA) in circular RNAs.

International journal of biological macromolecules Feb 27, 2025
As our understanding of Circular RNAs (circRNAs) continues to expand, accumulating evidence has demonstrated that circRNAs can interact with microRNAs and RNA-binding proteins to modulate gene expression. More importantly, a subset of circRNAs has be...
Translating Humans RNA, Circular Supervised Machine Learning Computational Biology Internal Ribosome Entry Sites Adenosine Protein Biosynthesis
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Structural Similarity, Activity, and Toxicity of Mycotoxins: Combining Insights from Unsupervised and Supervised Machine Learning Algorithms.

Journal of agricultural and food chemistry Feb 27, 2025
A large number of mycotoxins and related fungal metabolites have not been assessed in terms of their toxicological impacts. Current methodologies often prioritize specific target families, neglecting the complexity and presence of co-occurring compou...
Animals Humans Cluster Analysis Neural Networks, Computer Machine Learning Structure-Activity Relationship Mycotoxins Unsupervised Machine Learning Supervised Machine Learning Algorithms Molecular Structure
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Supervised and unsupervised deep learning-based approaches for studying DNA replication spatiotemporal dynamics.

Communications biology Feb 26, 2025
In eukaryotic cells, DNA replication is organised both spatially and temporally, as evidenced by the stage-specific spatial distribution of replication foci in the nucleus. Despite the genetic association of aberrant DNA replication with numerous hum...
Mouse Embryonic Stem Cells DNA Replication S Phase Telomere-Binding Proteins Cyclin E Mice Unsupervised Machine Learning Supervised Machine Learning Animals Deep Learning Humans
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Self-supervised learning for graph-structured data in healthcare applications: A comprehensive review.

Computers in biology and medicine Feb 24, 2025
The increasing complexity and interconnectedness of healthcare data present numerous opportunities to improve prediction, diagnosis, and treatment. Graph-structured data, which represents entities and their relationships, is well-suited for modeling ...
Humans Delivery of Health Care Supervised Machine Learning Algorithms
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