Infrared Spectroscopy Coupled with Machine Learning Algorithms to Investigate Vascular Dysfunction in Ovariectomy: An Animal Model Study

A decrease in female sex hormone levels in the body impairs vascular endothelium functioning, leading to vascular dysfunction associated with certain diseases. Animal models of ovariectomy are commonly used to understand its effects on vascular (dys)function. Fourier-transform infrared (FTIR) spectr...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Tháfanys S. Travezani (20609398) (author)
مؤلفون آخرون:	Márcia H. C. Nascimento (20609401) (author), Tagana R. da Cunha (20609404) (author), Roger L. dos Santos (20609407) (author), Francis L. Martin (189893) (author), Valerio G. Barauna (20609410) (author)
منشور في:	2025
الموضوعات:	Biochemistry Genetics Neuroscience Physiology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified various biological analyses supervised analysis methods squares discriminant analysis machine learning algorithms germany ), preprocessed false positive rate false negative rate eight serum samples principal component analysis matlab 2023 ). vascular dysfunction associated investigate vascular dysfunction pc combinations allowed animal model study adult wistar rats analyzed using mid infrared spectroscopy coupled principal components pca model animal models transform infrared infrared spectroscopy technique capable systemic profile spectral collection significant difference results indicate rats subjected performed using pca )] partial least ovx ). ovariectomized group da )] control group commonly used clear distinction certain diseases 7 %. 33 %. 15 days
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Infrared Spectroscopy Coupled with Machine Learning Algorithms to Investigate Vascular Dysfunction in Ovariectomy: An Animal Model Study

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