AIMC Topic: Machine Learning

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MlCOFSyn: A Machine Learning Framework To Facilitate the Synthesis of 2D Covalent Organic Frameworks.

Journal of chemical information and modeling Jun 5, 2025
Two-dimensional covalent organic frameworks (2D COFs) have been historically synthesized empirically, often resulting in uncontrolled crystallization and inferior crystal sizes, which limit their performance in various applications. Recently, crystal...
Machine Learning Models, Molecular Chemistry Techniques, Synthetic Metal-Organic Frameworks Crystallization
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Machine Learning Based Quantitative Structure-Dissolution Profile Relationship.

Journal of chemical information and modeling Jun 5, 2025
Determining accurate drug dissolution processes in the gastrointestinal tract is critical in drug discovery as dissolution profiles provide essential information for estimating the bioavailability of orally administered drugs. While various methods h...
Solubility Sodium Dodecyl Sulfate Quantitative Structure-Activity Relationship Machine Learning Surface-Active Agents Pharmaceutical Preparations Neural Networks, Computer
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scGANSL: Graph Attention Network with Subspace Learning for scRNA-seq Data Clustering.

Journal of chemical information and modeling Jun 5, 2025
Single-cell RNA sequencing (scRNA-seq) has become a crucial technology for analyzing cellular diversity at the single-cell level. Cell clustering is crucial in scRNA-seq data analysis as it accurately identifies distinct cell types and uncovers poten...
Humans Single-Cell Gene Expression Analysis Sequence Analysis, RNA Cluster Analysis Principal Component Analysis Machine Learning Single-Cell Analysis RNA-Seq
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Case-control study combined with machine learning techniques to identify key genetic variations in GSK3B that affect susceptibility to diabetic kidney diseases.

BMC endocrine disorders Jun 5, 2025
The role of genetic susceptibility in early warning and precise treatment of diabetic kidney disease (DKD) requires further investigation. A case-control study was conducted to evaluate the predictive effect of GSK3B genetic polymorphisms on the susc...
Male Genotype Female Middle Aged Glycogen Synthase Kinase 3 beta Aged Diabetes Mellitus, Type 2 Humans Genetic Predisposition to Disease Case-Control Studies Diabetic Nephropathies Adult Machine Learning Polymorphism, Single Nucleotide Prognosis
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A systematic comparison of short-term and long-term mortality prediction in acute myocardial infarction using machine learning models.

BMC medical informatics and decision making Jun 5, 2025
BACKGROUND AND OBJECTIVE: The machine learning (ML) models for acute myocardial infarction (AMI) are considered to have better predictive ability for mortality compared to conventional risk scoring models. However, previous ML prediction models have ...
Machine Learning Risk Assessment Humans Retrospective Studies Time Factors Aged China Prognosis Female Myocardial Infarction Male Middle Aged
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Development and validation of a predictive nomogram for bilateral posterior condylar displacement using cone-beam computed tomography and machine-learning algorithms: a retrospective observational study.

BMC oral health Jun 5, 2025
BACKGROUND: Temporomandibular disorders (TMDs) are frequently associated with posterior condylar displacement; however, early prediction of this displacement remains a significant challenge. Therefore, in this study, we aimed to develop and evaluate ...
Adult Male Middle Aged Nomograms Temporomandibular Joint Disorders Adolescent Cone-Beam Computed Tomography Retrospective Studies Female Risk Factors Humans Young Adult Joint Dislocations Machine Learning Mandibular Condyle Algorithms
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StrokeNeXt: an automated stroke classification model using computed tomography and magnetic resonance images.

BMC medical imaging Jun 5, 2025
BACKGROUND AND OBJECTIVE: Stroke ranks among the leading causes of disability and death worldwide. Timely detection can reduce its impact. Machine learning delivers powerful tools for image‑based diagnosis. This study introduces StrokeNeXt, a lightwe...
Magnetic Resonance Imaging Neural Networks, Computer Machine Learning Stroke Algorithms Humans Tomography, X-Ray Computed
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Screening of glioma susceptibility SNPs and construction of risk models based on machine learning algorithms.

BMC neurology Jun 5, 2025
BACKGROUND: Glioma is a common primary malignant brain tumor. This study aimed to develop a predictive model for glioma risk by these screened key SNPs in the Chinese Han population.
Glioma East Asian People Middle Aged Genetic Predisposition to Disease Polymorphism, Single Nucleotide Nomograms Adult Brain Neoplasms Male Humans Female Risk Factors Machine Learning Algorithms
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Research on ischemic stroke risk assessment based on CTA radiomics and machine learning.

BMC medical imaging Jun 5, 2025
BACKGROUND: The study explores the value of a model constructed by integrating CTA-based carotid plaque radiomic features, clinical risk factors, and plaque imaging characteristics for prognosticating the risk of ischemic stroke.
Middle Aged Risk Assessment ROC Curve Logistic Models Aged Radiomics Male Carotid Artery Diseases Ischemic Stroke Plaque, Atherosclerotic Computed Tomography Angiography Humans Female Risk Factors Machine Learning Prognosis
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Interpretable machine learning models for predicting childhood myopia from school-based screening data.

Scientific reports Jun 5, 2025
This study assessed the efficacy of various diagnostic indicators and machine learning (ML) models in predicting childhood myopia. A total of 2,365 children aged 5-12 years were included in the study. The participants were exposed to non-cycloplegic ...
Humans Machine Learning Female Schools Prevalence Child, Preschool Child Visual Acuity Male Refraction, Ocular Myopia
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