Results 51 to 60 of about 37,835 (197)

Development of an Artificial Intelligence Verification System Model for Clinical Biochemistry Laboratories Using Machine Learning

iLABMED, EarlyView.
The constructed AI verification system performed excellently in terms of accuracy and efficiency. This study provides a new solution for the intelligent verification of clinical biochemistry laboratories and has certain application value. ABSTRACT Background With the exponential growth of testing samples in clinical biochemistry laboratories ...
Lin Zhu, Jie Feng, Rong Zheng, Jianzhu Wang, Jin Dong, Jing Gao, Qiuliang Yang, Xuemei Wei, Hui Ding, Xu Zhang, Jinyao Ma, Jingzhao Mei, Yanhong Gao   +12 more
wiley   +1 more source

Kidney Function Assessment Using Cystatin C and Serum Creatinine in Heart Transplantation Recipients: Implications for Valganciclovir Dosing [PDF]

, 2023
A. Pinsino, Douglas L. Jennings, Annamaria Ladanyi, Phuong Duong, Austin Sweat, Ian Mahoney, Bruno Bohn, Ryan T. Demmer, Koji Takeda, Gabriel Sayer, Nir Uriel, Jay Leb, S. Ali Husain, Sumit Mohan, P.C. Colombo, M. Yuzefpolskaya   +15 more
openalex   +1 more source

Letter to the Editor, ‘Haemodynamic consequences of acute pulmonary embolism predict risk of CTPA‐related acute kidney injury’

ESC Heart Failure, EarlyView.
Ahmed Raza, Shahzadi Gulfishan
wiley   +1 more source

Laboratory Data Analysis of Hemorrhagic Fever With Renal Syndrome Patients to Predict Disease Severity and Patient Prognosis

Journal of Clinical Laboratory Analysis, EarlyView.
Prompt access to care with proper treatment is essential for preventing patients from developing renal failure and unfavorable outcomes. This study aimed to elucidate laboratory parameters associated with HFRS severity and prognosis to predict disease course and initiate prompt clinical management.
Hong Shi, Feng Du, Ting Wang, Zhendong Gu, Ting Ruan, Qiujian Zhao, Rui Xu, Yi Wang, Langxi Luo, Shaohua Wang, Liejun Jiang, Yaoni Li   +11 more
wiley   +1 more source

Association between elevated cystatin C levels and obstructive sleep apnea hypopnea syndrome: a systematic review and updated meta-analysis

BMC Pulmonary Medicine
Objective This study seeks to elucidate variances in cystatin C levels between patients with Obstructive Sleep Apnea Hypopnea Syndrome (OSAHS) and controls while also assessing the impact of cystatin C on cardiovascular and cerebrovascular complications ...
Nianying Fu, Xiaotao Tan, Jie He
doaj   +1 more source

Integrated Roles of Systemic Diseases and Serum Biomarkers in the Incidence of Age‐Related Macular Degeneration: The UK Biobank Study

Medicine Bulletin, EarlyView.
ABSTRACT Background To evaluate the associations of systemic diseases with AMD incidence and explore whether polygenic risk score (PRS) for AMD influences these associations. To assess the impacts of polymorbidities and serum biomarkers on AMD risk. Methods This prospective study of 471156 AMD‐free UK Biobank participants assessed systemic diseases ...
Jun Yu, Yuzhou Zhang, Mary Ho, Ka Wai Kam, Shi Song Rong, Alvin L. Young, Chi Pui Pang, Clement C. Tham, Jason C. Yam, Li Jia Chen   +9 more
wiley   +1 more source

Cystatin C as a Biomarker for Identifying High-Risk Patients with Acute Coronary Syndrome: An Observational Study

Clinical and Applied Thrombosis/Hemostasis
Background Cystatin C is a cysteine protease inhibitor, synthesized by nucleated cells, and released into various body fluids. Lots of studies have reported an association between cystatin C and atherosclerotic cardiovascular disease.
Xinlin Xiong MD, Li Yuan MB, Xiaobin Long MM, Minsheng An MB, Shen Huang MM, Liang Liu MB   +5 more
doaj   +1 more source

Arthrospira platensis and Chlorella vulgaris Consumption on Iron Status: A Systematic Review of In Vivo Studies

Molecular Nutrition &Food Research, EarlyView.
This graphical abstract provides a comparative overview of the mechanisms by which Arthrospira platensis and Chlorella vulgaris exert their effects. It highlights significant differences in their biological pathways, molecular interactions, and physiological effects, providing a clear visual summary.
Alexandra Lacurezeanu, Dan Cristian Vodnar   +1 more
wiley   +1 more source

Nephrocast‐V: A Deep Learning Model for the Prediction of Vancomycin Trough Concentration Using Electronic Health Record Data

Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy, EarlyView.
ABSTRACT Introduction Vancomycin is a critical antibiotic for treating methicillin‐resistant Staphylococcus aureus and other gram‐positive bacterial infections, but achieving and maintaining therapeutic trough concentrations is challenging. Objectives We hypothesized that a deep learning model could accurately predict vancomycin trough concentrations 2 
Ghodsieh Ghanbari, Craig Stevens, Eliah Aronoff‐Spencer, Atul Malhotra, Shamim Nemati, Zaid Yousif   +5 more
wiley   +1 more source

Coupling CZE, Liquid‐Phase Ion Mobility, to MS/MS for Quantitative Top‐Down Proteomics: Revealing Significant Proteoform Differences Between Healthy and Alzheimer's Disease Brains

PROTEOMICS, EarlyView.
ABSTRACT Alzheimer's disease (AD) is a neurodegenerative disorder characterized by cognitive decline and pathological protein aggregation. Comprehensive quantitative proteomics of brain tissues from AD patients is critical for pursuing a better understanding of the molecular mechanisms that drive AD progression.
Mehrdad Falamarzi Askarani, Fei Fang, Scott E. Counts, Liangliang Sun   +3 more
wiley   +1 more source