Results 71 to 80 of about 268,961 (366)
Advanced Materials, EarlyView.Wearable sensors, empowered by AI and smart materials, revolutionize healthcare by enabling intelligent disease diagnosis, personalized therapy, and seamless health monitoring without disrupting daily life. This review explores cutting‐edge advancements in smart materials and AI‐driven technologies that empower wearable sensors for diagnostics and ...
Shuwen Chen +14 more
wiley +1 more source
Optical Microfiber Biomedical Sensors: Classification, Applications, and Future Perspectives
Advanced Sensor Research, EarlyView.This review delves deeply into the various types of optical microfiber biosensors, grounded firmly in their fundamental principles, and underscores their indispensable roles in pushing forward biomedical advancements. It examines the latest advancements, challenges faced by these biosensors in practical applications, future directions, breakthroughs ...
Lili Liang +5 more
wiley +1 more source
Advanced Science, EarlyView.The present study constructs machine‐learning models to resolve developmental relationships among auditory performance, auditory cortical processing, and functional connectivity of the bilateral language network during the first year of restored hearing. The results demonstrate that asymmetric inter‐hemisphere communication contributes significantly to
Xue Zhao +6 more
wiley +1 more source
Physics-informed neural networks for improving cerebral hemodynamics predictions [PDF]
arXiv, 2021 Determining brain hemodynamics plays a critical role in the diagnosis and treatment of various cerebrovascular diseases. In this work, we put forth a physics-informed deep learning framework that augments sparse clinical measurements with fast computational fluid dynamics (CFD) simulations to generate physically consistent and high spatiotemporal ...
arxiv
Mechanochemistry: Fundamental Principles and Applications
Advanced Science, EarlyView.In this review, the physicochemical principles of mechanochemistry are first clarified. Based on this foundation, the research basis and cutting‐edge scientific achievements in four areas are introduced: solid‐state organic chemistry, polymers, interface science, and biomechanochemistry.
Liang Dong +4 more
wiley +1 more source
Definition of the venous hemodynamics parameters and concepts
Veins and Lymphatics, 2013 A clear understanding of the physical concepts of the venous hemodynamics improves the knowledge, diagnosis and treatment of the venous insufficiency.
Claude Franceschi
doaj +1 more source
Advances in Nano‐Immunomodulatory Systems for the Treatment of Acute Kidney Injury
Advanced Science, EarlyView.Based on the biodegradability and the immunological reactiveness, IMNs can be broadly classified into four categories. The first category includes types of biologically derived materials that cause immunomodulatory action and biodegradability like nanoparticles of cell membranes, extracellular vesicles, and exosomes.
Chenli Zhang +5 more
wiley +1 more source
Case Reports in Oncological Medicine, 2019 Cardiac angiosarcoma is a rare and clinically challenging pathology. It is a high-grade primary malignant tumor of the heart tissue that has many variants, of which the epithelioid variant is rarely present in the heart or the great vessels. As with many
Dan Morgenstern-Kaplan +5 more
doaj +1 more source
CARNA: Characterizing Advanced heart failure Risk and hemodyNAmic phenotypes using learned multi-valued decision diagrams [PDF]
arXiv, 2023 Early identification of high risk heart failure (HF) patients is key to timely allocation of life-saving therapies. Hemodynamic assessments can facilitate risk stratification and enhance understanding of HF trajectories. However, risk assessment for HF is a complex, multi-faceted decision-making process that can be challenging. Previous risk models for
arxiv
From time-series to complex networks: Application to the cerebrovascular flow patterns in atrial fibrillation [PDF]
Chaos 27(9): 093107, 2017, 2017 A network-based approach is presented to investigate the cerebrovascular flow patterns during atrial fibrillation (AF) with respect to normal sinus rhythm (NSR). AF, the most common cardiac arrhythmia with faster and irregular beating, has been recently and independently associated with the increased risk of dementia.
arxiv +1 more source