AIMC Topic: Machine Learning

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Amino acid metabolomics and machine learning-driven assessment of future liver remnant growth after hepatectomy in livers of various backgrounds.

Journal of pharmaceutical and biomedical analysis Jul 23, 2024
Accurate assessment of future liver remnant growth after partial hepatectomy (PH) in patients with different liver backgrounds is a pressing clinical issue. Amino acid (AA) metabolism plays a crucial role in liver regeneration. In this study, we comb...
Hepatectomy Liver Regeneration Non-alcoholic Fatty Liver Disease Chromatography, High Pressure Liquid Tandem Mass Spectrometry Animals Male Mice Metabolomics Liver Cirrhosis Liver Machine Learning Disease Models, Animal Amino Acids Mice, Inbred C57BL
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Machine learning in the prediction of treatment response in rheumatoid arthritis: A systematic review.

Seminars in arthritis and rheumatism Jul 23, 2024
OBJECTIVE: This study aimed to investigate the current status and performance of machine learning (ML) approaches in providing reproducible treatment response predictions.
Antirheumatic Agents Prognosis Arthritis, Rheumatoid Treatment Outcome Humans Machine Learning
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Real-time prediction of postoperative spinal shape with machine learning models trained on finite element biomechanical simulations.

International journal of computer assisted radiology and surgery Jul 23, 2024
PURPOSE: Adolescent idiopathic scoliosis is a chronic disease that may require correction surgery. The finite element method (FEM) is a popular option to plan the outcome of surgery on a patient-based model. However, it requires considerable computin...
Humans Machine Learning Algorithms Male Adolescent Imaging, Three-Dimensional Computer Simulation Female Biomechanical Phenomena Postoperative Period Finite Element Analysis Principal Component Analysis Spine Scoliosis
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Predicting the immunomodulatory activity of probiotic lactic acid bacteria using supervised machine learning in a Cornu aspersum snail model.

Fish & shellfish immunology Jul 23, 2024
In the process of screening for probiotic strains, there are no clearly established bacterial phenotypic markers which could be used for the prediction of their in vivo mechanism of action. In this work, we demonstrate for the first time that Machine...
Machine Learning Lactobacillales Snails Animals Immunomodulation Immunity, Innate Helix, Snails Probiotics
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Improving quantitative prediction of protein subcellular locations in fluorescence images through deep generative models.

Computers in biology and medicine Jul 23, 2024
Machine learning has been employed in recognizing protein localization at the subcellular level, which highly facilitates the protein function studies, especially for those multi-label proteins that localize in more than one organelle. However, exist...
Humans Machine Learning Deep Learning Image Processing, Computer-Assisted Proteins Microscopy, Fluorescence
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Using ensemble learning and hierarchical strategy to predict the outcomes of ESWL for upper ureteral stone treatment.

Computers in biology and medicine Jul 23, 2024
Urinary tract stones are a common and frequently recurring medical issue. Accurately predicting the success rate after surgery can help avoid ineffective medical procedures and reduce unnecessary healthcare costs. This study collected data from patie...
Lithotripsy Middle Aged Treatment Outcome Ureteral Calculi Aged Humans Adult Machine Learning Male Female
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Interpretable machine learning for dermatological disease detection: Bridging the gap between accuracy and explainability.

Computers in biology and medicine Jul 23, 2024
Research on disease detection by leveraging machine learning techniques has been under significant focus. The use of machine learning techniques is important to detect critical diseases promptly and provide the appropriate treatment. Disease detectio...
Humans Machine Learning Female Male Diagnosis, Computer-Assisted Support Vector Machine Skin Diseases
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Machine learning-based estimation of patient body weight from radiation dose metrics in computed tomography.

Journal of applied clinical medical physics Jul 23, 2024
PURPOSE: Currently, precise patient body weight (BW) at the time of diagnostic imaging cannot always be used for radiation dose management. Various methods have been explored to address this issue, including the application of deep learning to medica...
Body Weight Radiation Dosage Male Middle Aged Image Processing, Computer-Assisted Machine Learning Algorithms Tomography, X-Ray Computed Female Humans Aged Adult
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Groundwater salinity modeling and mapping using machine learning approaches: a case study in Sidi Okba region, Algeria.

Environmental science and pollution research international Jul 23, 2024
The groundwater salinization process complexity and the lack of data on its controlling factors are the main challenges for accurate predictions and mapping of aquifer salinity. For this purpose, effective machine learning (ML) methodologies are empl...
Machine Learning Support Vector Machine Salinity Algeria Models, Theoretical Groundwater Environmental Monitoring
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Second opinion machine learning for fast-track pathway assignment in hip and knee replacement surgery: the use of patient-reported outcome measures.

BMC medical informatics and decision making Jul 23, 2024
BACKGROUND: The frequency of hip and knee arthroplasty surgeries has been rising steadily in recent decades. This trend is attributed to an aging population, leading to increased demands on healthcare systems. Fast Track (FT) surgical protocols, peri...
Patient Reported Outcome Measures Arthroplasty, Replacement, Hip Critical Pathways Machine Learning Female Aged Male Middle Aged Arthroplasty, Replacement, Knee Humans
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