AIMC Topic: Principal Component Analysis

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Potential use of saliva infrared spectra and machine learning for a minimally invasive screening test for congenital syphilis in infants.

Scientific reports
Congenital syphilis is a global public health issue, and its diagnostic complexity poses a challenge to early treatment. Fourier Transform Infrared Spectroscopy (FTIR) is a promising technological tool that facilitates the detection and diagnosis of ...

Comparison of machine learning and validation methods for high-dimensional accelerometer data to detect foot lesions in dairy cattle.

PloS one
Lameness is one of the major production diseases affecting dairy cattle. It is associated with negative welfare in affected cattle, economic losses at the farm level, and adverse effects on sustainability. Prompt identification of lameness is necessa...

Protective effects of minocycline on dermal fibroblast cells from oxidant and apoptotic effects of HO: A comprehensive analysis with Raman spectroscopy and data-driven approach.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Minocycline (Mino) is an antibiotic with neuroprotective, anti-inflammatory, and antioxidant properties. This study investigated the protective effects of Mino against hydrogen peroxide (HO)-induced oxidative damage in dermal fibroblast cells and ana...

Expanding point cloud statistical shape model applications: Generalized vascular modeling for population-level hemodynamic simulations.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Population-scale hemodynamic research faces limitations due to the trade-off between computationally expensive patient-specific Computational Fluid Dynamics (CFD) and overly idealized cylindrical models. To overcome this, we...

Direct estimation of amylose and amylopectin in single starch granules by machine learning assisted Raman spectroscopy.

Carbohydrate polymers
Starch is a fundamental carbohydrate with nutritional and physicochemical properties governed by relative proportions of amylose and amylopectin. Variations in amylose-to-amylopectin ratio significantly influence starch digestibility, texture, glycem...

Machine Learning-Enhanced Chemiresistive Sensors for Ultra-Sensitive Detection of Methanol Adulteration in Alcoholic Beverages.

ACS sensors
Methanol poisoning poses significant health risks, particularly in less developed countries, where adulterated alcoholic beverages often lead to severe morbidity and mortality. Current diagnostic methods, such as gas-liquid chromatography and blood g...

Multivariate and Machine Learning-Derived Virtual Staining and Biochemical Quantification of Cancer Cells through Raman Hyperspectral Imaging.

Analytical chemistry
Advances in virtual staining and spatial omics have revolutionized our ability to explore cellular architecture and molecular composition with unprecedented detail. Virtual staining techniques, which rely on computational algorithms to map molecular ...

scGANSL: Graph Attention Network with Subspace Learning for scRNA-seq Data Clustering.

Journal of chemical information and modeling
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...

Principal fitted component framework for robust support vector regression based on bounded loss: A simulation study with potential applications.

PloS one
The inferential results regarding estimates of Support Vector Regression (SVR) are highly influenced by anomalies and ill-conditioned predictors. Excessive dimensions of data also make the model complex. To improve estimation accuracy, this paper int...

Rapid detection of kidney disease based on urine surface-enhanced Raman spectroscopy and principal components analysis-support vector machine/random forests.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Immunoglobulin A nephropathy (IgAN) and idiopathic membranous nephropathy (IMN) are the most prevalent primary glomerulonephritis (PGN) subtypes and can lead to end-stage renal disease. Conventional diagnostic methods in certain aspects are often lim...