Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.23938/ASSN.0935 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Optimizing warfarin dosing in diabetic patients through BERT model and machine learning techniques.
Comput Biol Med
January 2025
Department of Medicine (HSRD), Baylor College of Medicine, Houston, TX, USA. Electronic address:
This study highlights the importance of evaluating warfarin dosing in diabetic patients, who require careful anticoagulation management. With rising rates of diabetes and cardiovascular diseases, understanding the factors influencing warfarin therapy is vital for improving patient outcomes and reducing adverse events. Data was sourced from the IWPC dataset, examining characteristics such as age, gender, diabetes status, indication for warfarin, weight, and height.
View Article and Find Full Text PDFRole of Artificial Intelligence in Identifying Vital Biomarkers with Greater Precision in Emergency Departments During Emerging Pandemics.
Int J Mol Sci
January 2025
Expert Medical Analysis Group, Institute of Technology, University of Castilla-La Mancha, 16071 Cuenca, Spain.
The COVID-19 pandemic has accelerated advances in molecular biology and virology, enabling the identification of key biomarkers to differentiate between severe and mild cases. Furthermore, the use of artificial intelligence (AI) and machine learning (ML) to analyze large datasets has been crucial for rapidly identifying relevant biomarkers for disease prognosis, including COVID-19. This approach enhances diagnostics in emergency settings, allowing for more accurate and efficient patient management.
View Article and Find Full Text PDFMachine learning analysis of rivaroxaban solubility in mixed solvents for application in pharmaceutical crystallization.
Sci Rep
January 2025
Department of Oral & Maxillofacial Surgery and Diagnostic Sciences, Faculty of Dentistry, Taif University, 21944, Taif, Saudi Arabia.
This study investigates the use of machine learning models to predict solubility of rivaroxaban in binary solvents based on temperature (T), mass fraction (w), and solvent type. Using a dataset with over 250 data points and including solvents encoded with one-hot encoding, four models were compared: Gradient Boosting (GB), Light Gradient Boosting (LGB), Extra Trees (ET), and Random Forest (RF). The Jellyfish Optimizer (JO) algorithm was applied to tune hyperparameters, enhancing model performance.
View Article and Find Full Text PDFMachine Learning-Assisted Biomass-Derived Carbon Dots as Fluorescent Sensor Array for Discrimination of Warfarin and Its Metabolites.
Langmuir
January 2025
School of Pharmacy, Key Laboratory of Innovative Drug Development and Evaluation, Hebei Medical University, Shijiazhuang, Hebei 050017, China.
Warfarin (WAR), an effective oral anticoagulant, is of utmost importance in treating many diseases. Despite its significance, rapid and precise discrimination of WAR remains a formidable challenge, especially facing its structural analogs of metabolites. Here, three kinds of herb-derived N-doped carbon dots (NCDs) were greenly synthesized via a fast and simple microwave-assisted method.
View Article and Find Full Text PDFRecent Advances and Future Directions in Extracorporeal Carbon Dioxide Removal.
J Clin Med
December 2024
Department of Adult Critical Care, Guy's and St Thomas' NHS Foundation Trust, King's Health Partners, London SE1 9RT, UK.
Extracorporeal carbon dioxide removal (ECCOR) is an emerging technique designed to reduce carbon dioxide (CO) levels in venous blood while enabling lung-protective ventilation or alleviating the work of breathing. Unlike high-flow extracorporeal membrane oxygenation (ECMO), ECCOR operates at lower blood flows (0.4-1.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!