Illuminating Healthcare Management: A Comprehensive Review of IoT-Enabled Chronic Disease Monitoring DOI Creative Commons
Mir Sajjad Hussain Talpur, Abdul Ahad Abro, Mansoor Ebrahim

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 48189 - 48209

Published: Jan. 1, 2024

Language: Английский

A Framework for Augmented Intelligence in Allergy and Immunology Practice and Research—A Work Group Report of the AAAAI Health Informatics, Technology, and Education Committee DOI Creative Commons
Paneez Khoury,

Renganathan Srinivasan,

Sujani Kakumanu

et al.

The Journal of Allergy and Clinical Immunology In Practice, Journal Year: 2022, Volume and Issue: 10(5), P. 1178 - 1188

Published: March 15, 2022

Language: Английский

Citations

33

Plasma protein and venous thromboembolism: prospective cohort and mendelian randomisation analyses DOI Creative Commons
Shuai Yuan, Olga E. Titova, Ke Zhang

et al.

British Journal of Haematology, Journal Year: 2023, Volume and Issue: 201(4), P. 783 - 792

Published: Feb. 2, 2023

We conducted cohort and Mendelian randomisation (MR) analyses to examine the associations of circulating proteins with risk venous thromboembolism (VTE) provide evidence basis for disease prevention drug development. Cohort analysis was performed in 11 803 participants without baseline VTE. Cox regression used estimate between 257 VTE risk. A machine-learning model constructed compare importance identified traditional factors. Genetic association data on were obtained from a genome-wide meta-analysis (26 066 cases 624 053 controls) FinnGen (14 454 294 700 controls). The analysis, including 353 incident diagnosed during 6.6-year follow-up, 21 associated after false discovery rate correction. indicated that body mass index von Willebrand factor (vWF) made same as well most contributions overall prediction. MR found genetically predicted levels vWF, SERPINE1 (plasminogen activator inhibitor 1, known PAI-1), EPHB4 (ephrin type-B receptor 4), TYRO3 (tyrosine-protein kinase TYRO3), TNFRSF11A (tumour necrosis superfamily member 11A), BOC (brother CDO) causally

Language: Английский

Citations

22

Molecular Biomarkers for Cardiometabolic Disease: Risk Assessment in Young Individuals DOI Open Access
Usman A. Tahir, Robert E. Gerszten

Circulation Research, Journal Year: 2023, Volume and Issue: 132(12), P. 1663 - 1673

Published: June 8, 2023

Cardiometabolic diseases, including cardiovascular disease and diabetes, are major causes of morbidity mortality worldwide. Despite progress in prevention treatment, recent trends show a stalling the reduction mortality, paralleled by increasing rates cardiometabolic risk factors young adults, underscoring importance assessments this population. This review highlights evidence for molecular biomarkers early assessment individuals. We examine utility traditional individuals discuss novel, nontraditional specific to pathways contributing risk. Additionally, we explore emerging omic technologies analytical approaches that could enhance disease.

Language: Английский

Citations

20

Serum Olink Proteomics-Based Identification of Protein Biomarkers Associated with the Immune Response in Ischemic Stroke DOI
Tian Zhao, Jingjing Zeng, Ruijie Zhang

et al.

Journal of Proteome Research, Journal Year: 2024, Volume and Issue: 23(3), P. 1118 - 1128

Published: Feb. 6, 2024

The immune response is considered essential for pathology of ischemic stroke (IS), but it remains unclear which response-related proteins exhibit altered expression in IS patients. Here, we used Olink proteomics to examine the levels 92 sera patients (n = 88) and controls 88), found that 59 these were differentially expressed. Feature variables screened from expressed by least absolute shrinkage selection operator (LASSO) random forest determining whether their had an area under curve (AUC) greater than 0.8. Ultimately, identified six potential protein biomarkers IS, namely, MASP1, STC1, HCLS1, CLEC4D, PTH1R, PIK3AP1, established a logistic regression model diagnose IS. AUCs models internal validation test set 0.962 (95% confidence interval (CI): 0.895–1.000) 0.954 CI: 0.884–1.000), respectively, same detection method was performed external independent (AUC: 0.857 0.801–0.913)). These may play role regulation via C-type lectin receptor signaling pathway, PI3K–AKT B-cell pathway.

Language: Английский

Citations

8

Illuminating Healthcare Management: A Comprehensive Review of IoT-Enabled Chronic Disease Monitoring DOI Creative Commons
Mir Sajjad Hussain Talpur, Abdul Ahad Abro, Mansoor Ebrahim

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 48189 - 48209

Published: Jan. 1, 2024

Language: Английский

Citations

7