Latest AI and machine learning research in acute coronary syndrome for healthcare professionals.
An activity cliff (AC) is formed by a pair of structurally similar compounds with a large difference...
OBJECTIVE: The application of bubble-based ablation with the focus ultrasound therapy histotripsy is...
Grading red blood cell (RBC) aggregation is important for the early diagnosis and prevention of rela...
Thoracic pain is a shared symptom among gastrointestinal diseases, muscle pain, emotional disorders,...
Modern motor imagery (MI)-based brain computer interface systems often entail a large number of elec...
Background Classical ST-T waveform changes on standard 12-lead ECG have limited sensitivity in detec...
The Khorana score (KS) is used to predict the risk of venous thromboembolism (VTE) for cancer patie...
OBJECTIVE: Our aim was to characterize distinctive clinical antiphospholipid syndrome phenotypes and...
BACKGROUND: Patients with severe burns often show systemic coagulation changes in the early stage an...
Optical photons undergo strong scattering when propagating beyond 1-mm deep inside biological tissue...
BACKGROUND: Acute kidney injury (AKI) is increasingly being seen in patients with acute coronary syn...
INTRODUCTION: The Coronavirus Disease 2019 (COVID-19) is associated with severe hypercoagulability. ...
The objective of the study was to evaluate the risk of bleeding complications in patients undergoing...
OBJECTIVES: Traditional risk scores improved the definition of the initial therapeutic strategy in a...
 The role of anticoagulation (AC) in the management of otogenic cerebral venous sinus thrombosis (O...
INTRODUCTION: High-sensitive cardiac troponin reflects micro-myocardial injury in the absence of ove...
BACKGROUND: Low-molecular-weight heparins (LMWHs) are easily dialysable with high-flow membranes; ho...