AIMC Topic: Algorithms

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Artificial Intelligence-Based Counting Algorithm Enables Accurate and Detailed Analysis of the Broad Spectrum of Spot Morphologies Observed in Antigen-Specific B-Cell ELISPOT and FluoroSpot Assays.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2024
Antigen-specific B-cell ELISPOT and multicolor FluoroSpot assays, in which the membrane-bound antigen itself serves as the capture reagent for the antibodies that B cells secrete, inherently result in a broad range of spot sizes and intensities. The ...
Leukocytes, Mononuclear Artificial Intelligence Enzyme-Linked Immunospot Assay Algorithms B-Lymphocytes Antigens
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A Machine Learning Approach for Predicting Essentiality of Metabolic Genes.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2024
The identification of essential genes is a key challenge in systems and synthetic biology, particularly for engineering metabolic pathways that convert feedstocks into valuable products. Assessment of gene essentiality at a genome scale requires larg...
Metabolic Networks and Pathways Machine Learning Escherichia coli Algorithms Genes, Essential
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Comparative Analysis of Machine Learning Algorithms Evaluating the Single Nucleotide Polymorphisms of Metabolizing Enzymes with Clinical Outcomes Following Intravenous Paracetamol in Preterm Neonates with Patent Ductus Arteriosus.

Current drug metabolism Jan 1, 2024
AIMS: Pharmacogenomics has been identified to play a crucial role in determining drug response. The present study aimed to identify significant genetic predictor variables influencing the therapeutic effect of paracetamol for new indications in prete...
Ductus Arteriosus, Patent Administration, Intravenous Acetaminophen Analgesics, Non-Narcotic Cytochrome P-450 Enzyme System Male Machine Learning Infant, Premature Humans Polymorphism, Single Nucleotide Algorithms Treatment Outcome Prospective Studies Female Infant, Newborn
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Assessing occupational hazards in welding operations: A machine learning-based approach for worker safety in Indian foundries.

Work (Reading, Mass.) Jan 1, 2024
BACKGROUND: Quantitatively analyzing the impact of UV radiation and noise during welding operations is essential to assess the exposure, identify potential hazards, and develop targeted safety protocols to ensure worker safety and adherence to safety...
Humans Algorithms India Machine Learning Occupational Health Noise, Occupational Occupational Exposure Welding Ultraviolet Rays
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Enhanced CT imaging artificial neural network coronary artery calcification score assisted diagnosis.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: The study of coronary artery calcification (CAC) may assist in identifying additional coronary artery problem protective factors. On the contrary side, due to the wide variety of CAC as individuals, CAC research is difficult. Due to this,...
Middle Aged Neural Networks, Computer Reproducibility of Results Coronary Artery Disease Machine Learning Male Vascular Calcification Humans Tomography, X-Ray Computed Female Algorithms
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A hybrid thyroid tumor type classification system using feature fusion, multilayer perceptron and bonobo optimization.

Journal of X-ray science and technology Jan 1, 2024
BACKGROUND: Thyroid tumor is considered to be a very rare form of cancer. But recent researches and surveys highlight the fact that it is becoming prevalent these days because of various factors.
Ultrasonography Image Interpretation, Computer-Assisted Thyroid Gland Thyroid Neoplasms Humans Neural Networks, Computer Algorithms Sensitivity and Specificity Artificial Intelligence
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Performance evaluation of deep learning image reconstruction algorithm for dual-energy spectral CT imaging: A phantom study.

Journal of X-ray science and technology Jan 1, 2024
OBJECTIVES: To evaluate the performance of deep learning image reconstruction (DLIR) algorithm in dual-energy spectral CT (DEsCT) as a function of radiation dose and image energy level, in comparison with filtered-back-projection (FBP) and adaptive s...
Humans Image Processing, Computer-Assisted Radiation Dosage Signal-To-Noise Ratio Tomography, X-Ray Computed Deep Learning Algorithms Phantoms, Imaging Radiography, Dual-Energy Scanned Projection
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Machine learning framework for simulation of artifacts in paranasal sinuses diagnosis using CT images.

Journal of X-ray science and technology Jan 1, 2024
In the medical field, diagnostic tools that make use of deep neural networks have reached a level of performance never before seen. A proper diagnosis of a patient's condition is crucial in modern medicine since it determines whether or not the patie...
Tomography, X-Ray Computed Image Processing, Computer-Assisted Artifacts Paranasal Sinus Diseases Paranasal Sinuses Humans Machine Learning Algorithms
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Examining different cost ratio frameworks for decision rule machine learning algorithms in diagnostic application.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Artificial Intelligence (AI) plays a pivotal role in the diagnosis of health conditions ranging from general well-being to critical health issues. In the realm of health diagnostics, an often overlooked but critical aspect is the consider...
Machine Learning Algorithms Conjunctiva Humans Artificial Intelligence Anemia
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Implemented classification techniques for osteoporosis using deep learning from the perspective of healthcare analytics.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2024
BACKGROUND: Osteoporosis is a medical disorder that causes bone tissue to deteriorate and lose density, increasing the risk of fractures. Applying Neural Networks (NN) to analyze medical imaging data and detect the presence or severity of osteoporosi...
Algorithms Osteoporosis Deep Learning Humans Neural Networks, Computer
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