AIMC Topic: Machine Learning

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Visual analogue scale foot and ankle vs. short-form 36 quality of life scores: artificial intelligence using machine learning analysis with an external validation.

European review for medical and pharmacological sciences Dec 1, 2024
OBJECTIVE: We aimed to utilize artificial intelligence (AI) via machine learning (ML) to analyze the relationship between visual analogue scale foot and ankle (VASFA) and short-form 36 (SF-36) quality of life scores and determine AI's performance ove...
Middle Aged Quality of Life Foot Female Ankle Humans Adult Artificial Intelligence Visual Analog Scale Machine Learning Male
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Identification of Ferroptosis-Related Gene in Age-Related Macular Degeneration Using Machine Learning.

Immunity, inflammation and disease Dec 1, 2024
BACKGROUND: Age-related macular degeneration (AMD) is a major cause of irreversible visual impairment, with dry AMD being the most prevalent form. Programmed cell death of retinal pigment epithelium (RPE) cells is a central mechanism in the pathogene...
Ferroptosis Humans Macular Degeneration Machine Learning Animals Retinal Pigment Epithelium Gene Expression Profiling Mice
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Machine learning to predict adverse drug events based on electronic health records: a systematic review and meta-analysis.

The Journal of international medical research Dec 1, 2024
OBJECTIVE: This systematic review aimed to provide a comprehensive overview of the application of machine learning (ML) in predicting multiple adverse drug events (ADEs) using electronic health record (EHR) data.
Humans ROC Curve Support Vector Machine Machine Learning Area Under Curve Electronic Health Records Drug-Related Side Effects and Adverse Reactions Risk Factors
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Examining the Influenza A Virus Sialic Acid Binding Preference Predictions of a Sequence-Based Convolutional Neural Network.

Influenza and other respiratory viruses Dec 1, 2024
BACKGROUND: Though receptor binding specificity is well established as a contributor to host tropism and spillover potential of influenza A viruses, determining receptor binding preference of a specific virus still requires expensive and time-consumi...
Influenza, Human Hemagglutinin Glycoproteins, Influenza Virus Receptors, Virus Influenza A virus N-Acetylneuraminic Acid Protein Binding Humans Amino Acid Sequence Neural Networks, Computer Machine Learning
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Dominant Edaphic Controls on Particulate Organic Carbon in Global Soils.

Global change biology Dec 1, 2024
The current soil carbon paradigm puts particulate organic carbon (POC) as one of the major components of soil organic carbon worldwide, highlighting its pivotal role in carbon mitigation. In this study, we compiled a global dataset of 3418 data point...
Soil Models, Theoretical Machine Learning Carbon
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Building a Risk Scoring Model for ARDS in Lung Adenocarcinoma Patients Using Machine Learning Algorithms.

Journal of cellular and molecular medicine Dec 1, 2024
Lung adenocarcinoma (LUAD), the predominant form of non-small-cell lung cancer, is frequently complicated by acute respiratory distress syndrome (ARDS), which increases mortality risks. Investigating the prognostic implications of ARDS-related genes ...
DNA Copy Number Variations Mutation Adenocarcinoma of Lung Biomarkers, Tumor Algorithms Gene Expression Regulation, Neoplastic Male Gene Expression Profiling Humans Female Prognosis Respiratory Distress Syndrome Lung Neoplasms Risk Assessment Machine Learning Risk Factors
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An evolving machine-learning-based algorithm to early predict response to anti-CGRP monoclonal antibodies in patients with migraine.

Cephalalgia : an international journal of headache Dec 1, 2024
BACKGROUND: The present study aimed to determine whether machine-learning (ML)-based models can predict 3-, 6, and 12-month responses to the monoclonal antibodies (mAbs) against the calcitonin gene-related peptide (CGRP) or its receptor (anti-CGRPmAb...
Calcitonin Gene-Related Peptide Receptor Antagonists Migraine Disorders Antibodies, Monoclonal Calcitonin Gene-Related Peptide Prospective Studies Female Adult Cohort Studies Treatment Outcome Male Middle Aged Humans Machine Learning Algorithms
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An Integrated Approach to Develop a Potent Vaccine Candidate Construct Against Prostate Cancer by Utilizing Machine Learning and Bioinformatics.

Cancer reports (Hoboken, N.J.) Dec 1, 2024
BACKGROUND: Prostate cancer is the most common malignancy among males. Prostaglandin G/H synthase (PGHS) is an essential enzyme in the synthesis of prostaglandins, and its activation has been linked to many malignancies, including colorectal cancer.
Humans Machine Learning Male Cancer Vaccines Vaccine Development Prostatic Neoplasms Molecular Dynamics Simulation Epitopes, T-Lymphocyte Molecular Docking Simulation Computational Biology Epitopes, B-Lymphocyte Vaccines, Subunit
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AI: A transformative opportunity in cell biology.

Molecular biology of the cell Dec 1, 2024
The success of artificial intelligence (AI) algorithms in predicting protein structure and more recently, protein interactions, demonstrates the power and potential of machine learning and AI for advancing and accelerating biomedical research. As cel...
Animals Models, Biological Cell Biology Artificial Intelligence Machine Learning Humans Algorithms
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Prognostic Models Using Machine Learning Algorithms and Treatment Outcomes of Papillary Thyroid Carcinoma Variants.

Cancer reports (Hoboken, N.J.) Dec 1, 2024
BACKGROUND: Hürthle cell (HCC) and columnar cell variants (CCV) are rare subtypes of thyroid cancer.
Aged Adult Male Middle Aged Retrospective Studies Algorithms Treatment Outcome Clinical Decision-Making Prognosis Neoplasm Staging Female Thyroidectomy Humans Kaplan-Meier Estimate Thyroid Neoplasms Machine Learning Thyroid Cancer, Papillary ROC Curve
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