Role of Artificial Intelligence in Identifying Vital Biomarkers with Greater Precision in Emergency Departments During Emerging Pandemics

International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(2), P. 722 - 722

Published: Jan. 16, 2025

The COVID-19 pandemic has accelerated advances in molecular biology and virology, enabling the identification of key biomarkers to differentiate between severe mild cases. Furthermore, use artificial intelligence (AI) machine learning (ML) analyze large datasets been crucial for rapidly identifying relevant disease prognosis, including COVID-19. This approach enhances diagnostics emergency settings, allowing more accurate efficient patient management. study demonstrates how algorithms departments can identify vital prognosis an emerging using as example by analyzing clinical, epidemiological, analytical, radiological data. All consecutively admitted patients were included, than 89 variables processed Random Forest (RF) algorithm. RF model achieved highest balanced accuracy at 92.61%. most predictive mortality included procalcitonin (PCT), lactate dehydrogenase (LDH), C-reactive protein (CRP). Additionally, system highlighted significance interstitial infiltrates chest X-rays D-dimer levels. Our results demonstrate that is critical diseases, accelerating data analysis, optimizing personalized treatment, emphasizing importance PCT LDH high-risk patients.

Language: Английский

Genetics of Long COVID: Exploring the Molecular Drivers of Persistent Pulmonary Vascular Disease Symptoms

Infectious Disease Reports, Journal Year: 2025, Volume and Issue: 17(1), P. 15 - 15

Published: Feb. 13, 2025

Background/ Objectives: Long COVID or post-acute sequelae of SARS-CoV-2 infection (PASC) are symptoms that manifest despite passing the acute phase. These manifestations encompass a wide range symptoms, most common being fatigue, shortness breath, and cognitive dysfunction. Genetic predisposition is clearly involved in susceptibility individuals to developing these persistent variation severity forms. This review summarizes role genetic factors gene polymorphisms development major pulmonary vascular disorders associated with long COVID. Methods: A comprehensive current literature was conducted examine contributions complications following infection. Studies investigating linked hypertension, thromboembolism, endothelialitis were reviewed summarized. Results: Findings show specific variants contribute increased patients. Variants endothelial dysfunction, coagulation pathways, inflammatory responses have been implicated hypertension thromboembolic events. predispositions influencing integrity immune appear influence disease progression. Conclusions: Understanding mechanisms could pave way for targeted therapeutic interventions alleviate burden on patients experiencing

Language: Английский

Correction: Association of ACE2 and TMPRSS2 towards COVID-19 susceptibility

Discover Life, Journal Year: 2025, Volume and Issue: 55(1)

Published: April 1, 2025

Language: Английский