AIMC Topic: Machine Learning

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Machine learning and deep learning for brain tumor MRI image segmentation.

Experimental biology and medicine (Maywood, N.J.) Dec 16, 2023
Brain tumors are often fatal. Therefore, accurate brain tumor image segmentation is critical for the diagnosis, treatment, and monitoring of patients with these tumors. Magnetic resonance imaging (MRI) is a commonly used imaging technique for capturi...
Brain Neoplasms Algorithms Deep Learning Brain Humans Magnetic Resonance Imaging Machine Learning Image Processing, Computer-Assisted
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Identification of active compounds as novel dipeptidyl peptidase-4 inhibitors through machine learning and structure-based molecular docking simulations.

Journal of biomolecular structure & dynamics Dec 15, 2023
The enzyme dipeptidyl peptidase 4 (DPP4) is a potential therapeutic target for type 2 diabetes (T2DM). Many synthetic anti-DPP4 medications are available to treat T2DM. The need for secure and efficient medicines has been unmet due to the adverse sid...
Molecular Docking Simulation Diabetes Mellitus, Type 2 Structure-Activity Relationship Molecular Dynamics Simulation Neural Networks, Computer Protein Binding Sitagliptin Phosphate Machine Learning Dipeptidyl Peptidase 4 Dipeptidyl-Peptidase IV Inhibitors Binding Sites Humans
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Explainable hierarchical clustering for patient subtyping and risk prediction.

Experimental biology and medicine (Maywood, N.J.) Dec 15, 2023
We present a pipeline in which machine learning techniques are used to automatically identify and evaluate subtypes of hospital patients admitted between 2017 and 2021 in a large UK teaching hospital. Patient clusters are determined using routinely c...
Inpatients Machine Learning Forecasting Humans Cluster Analysis
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An overview of machine learning and deep learning techniques for predicting epileptic seizures.

Journal of integrative bioinformatics Dec 15, 2023
Epilepsy is a neurological disorder (the third most common, following stroke and migraines). A key aspect of its diagnosis is the presence of seizures that occur without a known cause and the potential for new seizures to occur. Machine learning has ...
Seizures Machine Learning Algorithms Electroencephalography Epilepsy Humans Deep Learning
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Simulation-based design optimization for statistical power: Utilizing machine learning.

Psychological methods Dec 14, 2023
The planning of adequately powered research designs increasingly goes beyond determining a suitable sample size. More challenging scenarios demand simultaneous tuning of multiple design parameter dimensions and can only be addressed using Monte Carlo...
Humans Machine Learning Models, Statistical Data Interpretation, Statistical Psychology Research Design Computer Simulation
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Integrating machine learning and high throughput screening for the discovery of allosteric AKT1 inhibitors.

Journal of biomolecular structure & dynamics Dec 14, 2023
Evidence from clinical and experimental investigations reveals the role of AKT in oral cancer, which has led to the development of therapeutic and pharmacological medications for inhibiting AKT protein. Despite prodigious effort, researchers are sear...
Allosteric Regulation Quantitative Structure-Activity Relationship Protein Kinase Inhibitors Drug Discovery Protein Binding Molecular Dynamics Simulation High-Throughput Screening Assays Proto-Oncogene Proteins c-akt Machine Learning Molecular Docking Simulation Humans
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Overcoming barriers to machine learning applications in toxicity prediction.

Expert opinion on drug metabolism & toxicology Dec 14, 2023
Animals Drug-Related Side Effects and Adverse Reactions Humans Machine Learning
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Machine learning-based delta check method for detecting misidentification errors in tumor marker tests.

Clinical chemistry and laboratory medicine Dec 14, 2023
OBJECTIVES: Misidentification errors in tumor marker tests can lead to serious diagnostic and treatment errors. This study aims to develop a method for detecting these errors using a machine learning (ML)-based delta check approach, overcoming limita...
Humans Machine Learning Prostate-Specific Antigen alpha-Fetoproteins Carcinoembryonic Antigen Diagnostic Errors Biomarkers, Tumor CA-19-9 Antigen CA-125 Antigen
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Feasibility of artificial intelligence its current status, clinical applications, and future direction in cardiovascular disease.

Current problems in cardiology Dec 14, 2023
In routine clinical practice, the diagnosis and treatment of cardiovascular disease (CVD) rely on data in a variety of formats. These formats comprise invasive angiography, laboratory data, non-invasive imaging diagnostics, and patient history. Artif...
Humans Algorithms Cardiovascular Diseases Artificial Intelligence Feasibility Studies Machine Learning
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Toxicity prediction of nanoparticles using machine learning approaches.

Toxicology Dec 14, 2023
Nanoparticle toxicity analysis is critical for evaluating the safety of nanomaterials due to their potential harm to the biological system. However, traditional experimental methods for evaluating nanoparticle toxicity are expensive and time-consumin...
Bayes Theorem Support Vector Machine Decision Trees Machine Learning Neural Networks, Computer Nanoparticles
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