Results 211 to 220 of about 354,987 (305)

Delayed evacuation of bilateral chronic subdural hematoma with herniation-induced bilateral posterior cerebral artery infarction: illustrative case. [PDF]

J Neurosurg Case Lessons
Mdarhri M, Hmamouche OM, Hammoud M, Lakhdar F, Benzagmout M, Chakour K, Chaoui El Faiz M.   +6 more
europepmc   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

Antiphospholipid syndrome and pregnancy-a hematologic perspective. [PDF]

Res Pract Thromb Haemost
Doyle AJ, Cox C, Breen KA.
europepmc   +1 more source

Aspirin intolerance

Folia Pharmacologica Japonica, 2014
openaire   +3 more sources

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Effect of pre-ICU aspirin use on neuroinflammation and outcomes in patients with sepsis-associated encephalopathy. [PDF]

Front Neurol
Xu Z, Yang Q, Li H, He T.
europepmc   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Eligibility of real-world patients for aspirin primary prevention trials in cardiovascular disease. [PDF]

BMC Med
Holder M, Morales DR, Hanlon P, McAllister DA, Guthrie B.   +4 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

MRI Findings of Intracranial Hemorrhages in ARCADIA-MRI: An Ancillary Study to the ARCADIA Trial. [PDF]

AJNR Am J Neuroradiol
Chen H, Lansberg M, Zhu G, Cassarly C, Paula Q, Kemp S, Howard G, Smith EE, Tirschwell D, Sheth KN, Kamel H, Longstreth WT, Elkind MSV, Broderick J, Lazar RM, Wintermark M.   +15 more
europepmc   +1 more source