The Rise of the Machines: Using Machine Learning to Assess Thrombosis and Bleeding Risks, and Optimizing Anticoagulation Strategies.

Thromb Haemost

Department of Neurology, Radboud University Medical Centre, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.

Published: November 2024

Download full-text PDF

Source
http://dx.doi.org/10.1055/a-2460-2894DOI Listing

Publication Analysis

Top Keywords

rise machines
4
machines machine
4
machine learning
4
learning assess
4
assess thrombosis
4
thrombosis bleeding
4
bleeding risks
4
risks optimizing
4
optimizing anticoagulation
4
anticoagulation strategies
4

Similar Publications

Background: The Rh blood group system (ISBT004) is encoded by two homologous genes, RHD and RHCE. Polymorphism in these two genes gives rise to 56 antigens, which are highly immunogenic and clinically significant. This study extended previous work on the establishment of RHD allele specific reference sequences using next generation sequencing (NGS) with the Ion Personal Genome Machine (Ion PGM) to sequence the complete RHCE gene.

View Article and Find Full Text PDF

Tidal marshes are coastal systems that provide valuable ecosystem services, highlighting coastal protection and carbon burial. For centuries, these dynamic ecosystems have kept pace with sea level rise through organic and mineral matter accumulation. In the current situation of accelerated sea-level rise and changes in suspended sediment concentrations, the evolution of these systems has gained special attention across scientific fields.

View Article and Find Full Text PDF

Breast cancer is a significant health challenge, with accurate and timely diagnosis being critical to effective treatment. Immunohistochemistry (IHC) staining is a widely used technique for the evaluation of breast cancer markers, but manual scoring is time-consuming and can be subject to variability. With the rise of Artificial Intelligence (AI), there is an increasing interest in using machine learning and deep learning approaches to automate the scoring of ER, PR and HER2 biomarker in IHC-stained images for effective treatment.

View Article and Find Full Text PDF

Changes in DNA methylation are associated with systemic lupus erythematosus flare remission and clinical subtypes.

Clin Epigenetics

December 2024

Genomics of Autoimmune Rheumatic Disease Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.

Background: Systemic lupus erythematosus (SLE) has numerous symptoms across organs and an unpredictable flare-remittance pattern. This has made it challenging to understand drivers of long-term SLE outcomes. Our objective was to identify whether changes in DNA methylation over time, in an actively flaring SLE cohort, were associated with remission and whether these changes meaningfully subtype SLE patients.

View Article and Find Full Text PDF

Association and predictive ability between significant perioperative cardiovascular adverse events and stress glucose rise in patients undergoing non-cardiac surgery.

Cardiovasc Diabetol

December 2024

Department of Anesthesiology, Shengli Clinical Medical College of Fujian Medical University, Fuzhou University Affiliated Provincial Hospital, Fujian Provincial Hospital, No.134, Dongjie, Fuzhou, 350001, China.

Background: The predictive importance of the stress hyperglycemia ratio (SHR), which is composed of admission blood glucose (ABG) and glycated hemoglobin (HbA1c), has not been fully established in noncardiac surgery. This study aims to evaluate the association and predictive capability the SHR for major perioperative adverse cardiovascular events (MACEs) in noncardiac surgery patients.

Methods: Individuals who underwent noncardiac surgical procedures between 2011 and 2020, including both diabetic and non-diabetic patients, were identified in the perioperative medicine database (INSPIRE 1.

View Article and Find Full Text PDF

Want 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!