AIMC Topic: Phenotype

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AI-Powered Microfluidics: Shaping the Future of Phenotypic Drug Discovery.

ACS applied materials & interfaces Jul 17, 2024
Phenotypic drug discovery (PDD), which involves harnessing biological systems directly to uncover effective drugs, has undergone a resurgence in recent years. The rapid advancement of artificial intelligence (AI) over the past few years presents nume...
Drug Discovery Microfluidics High-Throughput Screening Assays Humans Artificial Intelligence Phenotype
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Association between myosteatosis and impaired glucose metabolism: A deep learning whole-body magnetic resonance imaging population phenotyping approach.

Journal of cachexia, sarcopenia and muscle Jul 15, 2024
BACKGROUND: There is increasing evidence that myosteatosis, which is currently not assessed in clinical routine, plays an important role in risk estimation in individuals with impaired glucose metabolism, as it is associated with the progression of i...
Aged Adult Male Middle Aged Humans Deep Learning Phenotype Magnetic Resonance Imaging Retrospective Studies Muscle, Skeletal Adipose Tissue Female Glucose Whole Body Imaging
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Identifying high-risk Fontan phenotypes using K-means clustering of cardiac magnetic resonance-based dyssynchrony metrics.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jul 14, 2024
BACKGROUND: Individuals with a Fontan circulation encompass a heterogeneous group with adverse outcomes linked to ventricular dilation, dysfunction, and dyssynchrony. The purpose of this study was to assess if unsupervised machine learning cluster an...
Predictive Value of Tests Ventricular Dysfunction, Left Image Interpretation, Computer-Assisted Myocardial Contraction Heart Transplantation Female Fontan Procedure Biomechanical Phenomena Risk Assessment Risk Factors Treatment Outcome Heart Defects, Congenital Humans Adolescent Male Young Adult Magnetic Resonance Imaging, Cine Cluster Analysis Phenotype Ventricular Function, Left Adult Time Factors Unsupervised Machine Learning Retrospective Studies Child
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Uncovering STEMI patient phenotypes using unsupervised machine learning.

International journal of cardiology Jul 9, 2024
Male Middle Aged Electrocardiography Unsupervised Machine Learning Humans ST Elevation Myocardial Infarction Phenotype Female Aged
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Applications of artificial intelligence in computed tomography imaging for phenotyping pulmonary hypertension.

Current opinion in pulmonary medicine Jul 9, 2024
PURPOSE OF REVIEW: Pulmonary hypertension is a heterogeneous condition with significant morbidity and mortality. Computer tomography (CT) plays a central role in determining the phenotype of pulmonary hypertension, informing treatment strategies. Man...
Pulmonary Embolism Hypertension, Pulmonary Humans Phenotype Artificial Intelligence Tomography, X-Ray Computed Lung
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Machine learning-based cluster analysis identifies four unique phenotypes of patients with degenerative cervical myelopathy with distinct clinical profiles and long-term functional and neurological outcomes.

EBioMedicine Jul 4, 2024
BACKGROUND: Degenerative cervical myelopathy (DCM), the predominant cause of spinal cord dysfunction among adults, exhibits diverse interrelated symptoms and significant heterogeneity in clinical presentation. This study sought to use machine learnin...
Cluster Analysis Cervical Vertebrae Spinal Cord Diseases Phenotype Female Aged Adult Male Middle Aged Treatment Outcome Humans Machine Learning
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Discovery of urinary biosignatures for tuberculosis and nontuberculous mycobacteria classification using metabolomics and machine learning.

Scientific reports Jul 3, 2024
Nontuberculous mycobacteria (NTM) infection diagnosis remains a challenge due to its overlapping clinical symptoms with tuberculosis (TB), leading to inappropriate treatment. Herein, we employed noninvasive metabolic phenotyping coupled with comprehe...
Humans Machine Learning Phenotype Biomarkers ROC Curve Metabolomics Models, Statistical Liquid Chromatography-Mass Spectrometry Aged Male Middle Aged Down-Regulation Up-Regulation Amino Acids Random Forest Tuberculosis Mycobacterium Infections, Nontuberculous Metabolome Diagnosis, Differential Area Under Curve
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Attention module incorporated transfer learning empowered deep learning-based models for classification of phenotypically similar tropical cattle breeds (Bos indicus).

Tropical animal health and production Jul 2, 2024
Accurate breed identification in dairy cattle is essential for optimizing herd management and improving genetic standards. A smart method for correctly identifying phenotypically similar breeds can empower farmers to enhance herd productivity. A conv...
Cattle Breeding Neural Networks, Computer Dairying Phenotype Female Animals Deep Learning
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Deep Learning in Image-Based Plant Phenotyping.

Annual review of plant biology Jul 2, 2024
A major bottleneck in the crop improvement pipeline is our ability to phenotype crops quickly and efficiently. Image-based, high-throughput phenotyping has a number of advantages because it is nondestructive and reduces human labor, but a new challen...
Deep Learning Image Processing, Computer-Assisted Phenotype Plants Crops, Agricultural
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From Genotype to Phenotype: Raman Spectroscopy and Machine Learning for Label-Free Single-Cell Analysis.

ACS nano Jul 1, 2024
Raman spectroscopy has made significant progress in biosensing and clinical research. Here, we describe how surface-enhanced Raman spectroscopy (SERS) assisted with machine learning (ML) can expand its capabilities to enable interpretable insights in...
Humans Machine Learning Phenotype Single-Cell Analysis Genotype Spectrum Analysis, Raman
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