AIMC Topic: Electric Power Supplies

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Breast cancer histopathology image-based gene expression prediction using spatial transcriptomics data and deep learning.

Scientific reports Aug 21, 2023
Tumour heterogeneity in breast cancer poses challenges in predicting outcome and response to therapy. Spatial transcriptomics technologies may address these challenges, as they provide a wealth of information about gene expression at the cell level, ...
Animals Gene Expression Profiling Transcriptome Deep Learning Electric Power Supplies Mammary Neoplasms, Animal
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The transformative power of transformers in protein structure prediction.

Proceedings of the National Academy of Sciences of the United States of America Jul 31, 2023
Transformer neural networks have revolutionized structural biology with the ability to predict protein structures at unprecedented high accuracy. Here, we report the predictive modeling performance of the state-of-the-art protein structure prediction...
Neural Networks, Computer Electric Power Supplies
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Classifying Free Texts Into Predefined Sections Using AI in Regulatory Documents: A Case Study with Drug Labeling Documents.

Chemical research in toxicology Jul 24, 2023
The US Food and Drug Administration (FDA) regulatory process often involves several reviewers who focus on sets of information related to their respective areas of review. Accordingly, manufacturers that provide submission packages to regulatory agen...
Artificial Intelligence United States United States Food and Drug Administration Electric Power Supplies Drug Labeling Product Labeling
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P-TransUNet: an improved parallel network for medical image segmentation.

BMC bioinformatics Jul 18, 2023
Deep learning-based medical image segmentation has made great progress over the past decades. Scholars have proposed many novel transformer-based segmentation networks to solve the problems of building long-range dependencies and global context conne...
Neural Networks, Computer Image Processing, Computer-Assisted Electric Power Supplies
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Turnover number predictions for kinetically uncharacterized enzymes using machine and deep learning.

Nature communications Jul 12, 2023
The turnover number k, a measure of enzyme efficiency, is central to understanding cellular physiology and resource allocation. As experimental k estimates are unavailable for the vast majority of enzymatic reactions, the development of accurate comp...
Machine Learning Deep Learning Proteome Amino Acid Sequence Electric Power Supplies
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Cracking double-blind review: Authorship attribution with deep learning.

PloS one Jun 30, 2023
Double-blind peer review is considered a pillar of academic research because it is perceived to ensure a fair, unbiased, and fact-centered scientific discussion. Yet, experienced researchers can often correctly guess from which research group an anon...
Neural Networks, Computer Authorship Deep Learning Double-Blind Method Electric Power Supplies
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Machine Learning Methods for Small Data Challenges in Molecular Science.

Chemical reviews Jun 29, 2023
Small data are often used in scientific and engineering research due to the presence of various constraints, such as time, cost, ethics, privacy, security, and technical limitations in data acquisition. However, big data have been the focus for the p...
Neural Networks, Computer Artificial Intelligence Machine Learning Algorithms Electric Power Supplies
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Advancing the Production of Clinical Medical Devices Through ChatGPT.

Annals of biomedical engineering Jun 27, 2023
As a recently popular large language model, Chatbot Generative Pre-trained Transformer (ChatGPT) is highly valued in the field of clinical medicine. Due to the limited understanding of the potential impact of ChatGPT on the manufacturing side of clin...
Humans Artificial Intelligence Software Equipment Design Electric Power Supplies Manufacturing Industry
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Drone-Robot to Clean Power Line Insulators.

Sensors (Basel, Switzerland) Jun 13, 2023
The inspection and maintenance of transmission systems are necessary for their proper functioning. In this way, among the line's critical points are the insulator chains, which are responsible for providing insulation between conductors and structure...
Robotics Aircraft Electronics Electric Power Supplies Unmanned Aerial Devices
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A Two-Branch Neural Network for Short-Axis PET Image Quality Enhancement.

IEEE journal of biomedical and health informatics Jun 5, 2023
The axial field of view (FOV) is a key factor that affects the quality of PET images. Due to hardware FOV restrictions, conventional short-axis PET scanners with FOVs of 20 to 35 cm can acquire only low-quality PET (LQ-PET) images in fast scanning ti...
Humans Neural Networks, Computer Algorithms Positron-Emission Tomography Electric Power Supplies
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