Results 321 to 330 of about 447,619 (420)

THE ENIGMA OF ASPIRIN [PDF]

Australian and New Zealand Journal of Medicine, 1987
openaire   +3 more sources

Deep Learning Methods in Soft Robotics: Architectures and Applications

Advanced Intelligent Systems, EarlyView.
Soft robotics has seen intense research over the past two decades and offers a promising approach for future robotic applications. However, standard industrial methods may be challenging to apply to soft robots. Recent advances in deep learning provide powerful tools to analyze and design complex soft machines that can operate in unstructured ...
Tomáš Čakurda, Monika Trojanová, Pavlo Pomin, Alexander Hošovský   +3 more
wiley   +1 more source

Optimal antithrombotic therapy after transcatheter aortic valve replacement: a comprehensive review. [PDF]

Front Cardiovasc Med
Thanh NVT, Hong MK, Ko YG.
europepmc   +1 more source

Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning

Advanced Intelligent Systems, EarlyView.
This work introduces random‐forest‐based interpretable generative inverse design (RIGID), a new single‐shot inverse design method for metamaterials using interpretable machine learning and Markov chain Monte Carlo sampling. Once trained on a small dataset, RIGID can estimate the likelihood of designs achieving target behaviors (e.g., wave‐based ...
Wei (Wayne) Chen, Rachel Sun, Doksoo Lee, Carlos M. Portela, Wei Chen   +4 more
wiley   +1 more source

Qualitative study exploring the barriers and facilitators to low-dose aspirin adherence in pregnant women with placental dysfunction risk in the UK. [PDF]

BMJ Open
Davies A, Chapman S, Mullin S, Bakhbakhi D, Neuberger F, Fraser A, Williams C, Burden C.   +7 more
europepmc   +1 more source

Refractory period to aspirin in a patient with aspirin-induced asthma

, 1976
C ZEISS, Richard F. Lockey
openalex   +1 more source

Aspirin and mucus

Journal of Pharmacy and Pharmacology, 1968
J. Watkins, M. J. H. Smith, Kim D. Rainsford   +2 more
openaire   +3 more sources

Machine Learning‐Assisted Simulations and Predictions for Battery Interfaces

Advanced Intelligent Systems, EarlyView.
This review summarizes machine learning (ML)‐assisted simulations and predictions at battery interfaces. It highlights how employing ML algorithms with machine vision, enables the lithium dendrite growth simulation, the solid–electrolyte interphase formation, and other interfacial dynamics.
Zhaojun Sun, Xin Li, Yiming Wu, Qilin Gu, Shiyou Zheng   +4 more
wiley   +1 more source

Aspirin vs. clopidogrel monotherapy beyond 1 month after complex percutaneous coronary intervention: a pre-specified subgroup analysis of the STOPDAPT-3 trial. [PDF]

Eur Heart J Cardiovasc Pharmacother
Domei T, Yamamoto K, Natsuaki M, Watanabe H, Morimoto T, Obayashi Y, Nishikawa R, Kimura T, Ando K, Suwa S, Isawa T, Takenaka H, Ishikawa T, Tamura T, Kawahatsu K, Hayashi F, Abe M, Serikawa T, Mori H, Kawamura T, Hagikura A, Shibata N, Ono K, Kimura T.   +23 more
europepmc   +1 more source

PATHOGENESIS OF GASTRIC LESIONS INDUCED BY ASPIRIN IN THE PYLORUS-LIGATED RAT

, 1974
Susumu Okabe, Koji Takeuchi, Keita Nakamura, Keijiro Takagi   +3 more
openalex   +1 more source