Bioinformatics approaches for studying molecular sex differences in complex diseases

RTJ Loo, M Soudy, F Nasta, M Macchi… - Briefings in …, 2024 - academic.oup.com
Many complex diseases exhibit pronounced sex differences that can affect both the initial
risk of developing the disease, as well as clinical disease symptoms, molecular …

Mass spectrometry and machine learning in the identification of COVID-19 biomarkers

LC Lazari, G Santos de Oliveira… - Frontiers in Analytical …, 2023 - frontiersin.org
Identifying specific diagnostic and prognostic biological markers of COVID-19 can improve
disease surveillance and therapeutic opportunities. Mass spectrometry combined with …

[HTML][HTML] COVID-19 outcome prediction by integrating clinical and metabolic data using machine learning algorithms

KE Villagrana-Bañuelos, V Maeda-Gutiérrez… - Revista de …, 2022 - scielo.org.mx
Resumen VILLAGRANA-BANUELOS, Karen E. et al. COVID-19 Outcome Prediction by
Integrating Clinical and Metabolic Data using Machine Learning Algorithms. Rev. invest …

Metabolomic Selection in the Progression of Type 2 Diabetes Mellitus: A Genetic Algorithm Approach

J Morgan-Benita, AG Sánchez-Reyna… - Diagnostics, 2022 - mdpi.com
According to the World Health Organization (WHO), type 2 diabetes mellitus (T2DM) is a
result of the inefficient use of insulin by the body. More than 95% of people with diabetes …

Unlocking the secrets of metabolomics with Artificial Intelligence: a comprehensive literature review

KK Kopeć, F Cannas, C Piras, M Spada… - Journal of Pediatric and …, 2024 - jpnim.com
This comprehensive review synthesizes the wealth of scientific literature pertaining to the
application of Artificial Intelligence (AI) in the field of metabolomics. Over the past decade, AI …

[HTML][HTML] Correlation between Biomarkers and Severity of Clinical Categories in COVID-19 Patients: A Hospital-Based Study in Arunachal Pradesh, India

H Nobin, T Paley, R Anu, H Yami, N Tago, NJ Saikia… - COVID, 2024 - mdpi.com
Background: The COVID-19 pandemic has brought about widespread effects on
communities on a global scale, with impacts varying among different demographics. This …

Unlocking the secrets of metabolomics with Artificial Intelligence: a comprehensive literature review

KK Kopea, F Cannas, C Piras, M Spada… - Journal of Pediatric and …, 2024 - iris.unica.it
This comprehensive review synthesizes the wealth of scientific literature pertaining to the
application of Artificial Intelligence (AI) in the field of metabolomics. Over the past decade, AI …

The Blood Hemoglobin Sensor Based On (Ba, Sr) TiO3 Films: The Performance Evaluation and Data Analysis

V Rahmawaty, T Sumaryada - International Journal of …, 2023 - ejournal.unimap.edu.my
The information of blood hemoglobin level is very important for human health. Normal
hemoglobin levels for men are in the range of 14-18.5 g/dL, and for women in the range of …