Results 121 to 130 of about 239,825 (303)
, 2013 Masatoshi Hayasaka,1 Yasuo Takahashi,2 Yayoi Nishida,2 Yoshikazu Yoshida,1 Shinji Hidaka,3 Satoshi Asai41Department of Pharmacy, Nihon University Itabashi Hospital, Tokyo, 2Division of Genomic Epidemiology and Clinical Trials, Clinical Trials Research ...
Asai S +5 more
core
, 2011 Aspirin is an inexpensive, readily available medication that reduces the risk of subsequent vascular disease by about 25% in patients with known occlusive vascular disease.
Kenneth A. Schwartz
core +1 more source
Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction
Advanced Robotics Research, EarlyView.Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith +4 more
wiley +1 more source
Comparative effectiveness of combined antiplatelet treatments in acute minor ischaemic stroke
Stroke and Vascular NeurologyBackground No study has thoroughly compared the effectiveness of combined antiplatelet treatments (other than clopidogrel–aspirin) versus clopidogrel–aspirin or aspirin alone for early secondary prevention in acute ischaemic stroke.Methods We identified ...
Joon-Tae Kim +32 more
doaj +1 more source
Aspirin: promise and resistance in the new millennium.
, 2008 Although conceived at the end of the 19th century, aspirin remains the gold standard of antiplatelet therapy. Approximately 100 randomized clinical trials have established its efficacy and safety in the prevention of myocardial infarction, ischemic ...
Patrono, Carlo, Rocca, Bianca
core
Advanced Robotics Research, EarlyView.This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
Advanced Robotics Research, EarlyView.This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source
Aspirin-exacerbated respiratory disease: pathophysiological insights and clinical advances
, 2016 John W Steinke, Jeff M Wilson Asthma and Allergic Disease Center, Carter Immunology Center, Department of Medicine, University of Virginia Health System, Charlottesville, VA, USA Abstract: Asthma and chronic rhinosinusitis are heterogeneous airway ...
Wilson JM, Steinke JW
core
, 1978 Approximately 10–20 percent of patients with asthma are intolerant to aspirin. In such patients, symptoms of bronchospasm or urticaria/angio-edema may occur within a few minutes to several hours after the ingestion of aspirin-containing compounds.
C. S. Ted Tse
core +1 more source
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
Advanced Science, EarlyView.ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source