Infrared Spectroscopy Coupled with Machine Learning Algorithms to Investigate Vascular Dysfunction in Ovariectomy: An Animal Model Study
Saved in:
Main Authors: | Tháfanys S. Travezani, Márcia H. C. Nascimento, Tagana R. da Cunha, Roger L. dos Santos, Francis L. Martin, Valerio G. Barauna |
---|---|
Format: | Article |
Language: | English |
Published: |
American Chemical Society
2025-01-01
|
Series: | ACS Omega |
Online Access: | https://doi.org/10.1021/acsomega.4c08831 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Application of fourier transform infrared vibrational spectroscopy in identifying early biochemical changes in lipid profiles of individuals undergoing Roux-en-y gastric bypass
by: Amanda Motta de Bortoli, et al.
Published: (2025-01-01) -
Near-infrared spectroscopy and accelerated ageing in evaluating the vigour of lentil seeds
by: Marcelo Augusto Rocha Limão, et al.
Published: (2025-01-01) -
Effect of bisphosphonate on bone microstructure, mechanical strength in osteoporotic rats by ovariectomy
by: Yuzhu Wang, et al.
Published: (2024-09-01) -
The Role of Silymarin in Mitigating Inflammation and Cognitive Impairment Induced by Ovariectomy in Wistar Rats
by: Razieh Moalefshahri, et al.
Published: (2023-01-01) -
Fourier Transform Infrared Spectroscopy of “Bisphenol A”
by: Ramzan Ullah, et al.
Published: (2016-01-01)