Results 101 to 110 of about 1,506,413 (213)

Shape‐Reconfigurable Crack‐Based Strain Sensor with Ultrahigh and Tunable Sensitivity

Advanced Functional Materials, EarlyView.
A highly sensitive crack‐based sensor with tunable strain detection capabilities is demonstrated through controlled nanocrack formation in a line‐patterned shape memory polymer substrate. The sensor design integrates thermoplastic polyurethane and poly(lactic acid), enabling thermo‐responsive reconfiguration of crack geometry.
Seungjae Lee, Youngoh Lee, Cheolhong Park, Yun Goo Ro, Min Sub Kwak, Geonyoung Jeong, Junseo Park, Hyejin Lee, Pan Kyeom Kim, Sung‐Il Chung, Hyunhyub Ko   +10 more
wiley   +1 more source

Advancements in Artificial Intelligence Applications for Cardiovascular Disease Research [PDF]

arXiv
Recent advancements in artificial intelligence (AI) have revolutionized cardiovascular medicine, particularly through integration with computed tomography (CT), magnetic resonance imaging (MRI), electrocardiography (ECG) and ultrasound (US). Deep learning architectures, including convolutional neural networks and generative adversarial networks, enable
arxiv  

SeqSeg: Learning Local Segments for Automatic Vascular Model Construction [PDF]

Computational modeling of cardiovascular function has become a critical part of diagnosing, treating and understanding cardiovascular disease. Most strategies involve constructing anatomically accurate computer models of cardiovascular structures, which is a multistep, time-consuming process.
arxiv   +1 more source

Alleviation of Aging‐Related Hallmarks in a Mouse Model of Progeria via a Nanoparticle‐Based Artificial Transcription Factor

Advanced Functional Materials, EarlyView.
Oct4‐nanoscript, a biomimetic nanoparticle‐based artificial transcription factor, precisely regulates cellular rejuvenation by activating Oct4 target genes, restoring epigenetic marks, and reducing DNA damage. In a progeria model, it effectively rescued aging‐associated pathologies and extended lifespan.
Hongwon Kim, Junyeop Kim, Euiyeon Lee, Brandon Conklin, Yannan Hou, Sumin Kim, Yerim Hwang, Ki‐Bum Lee, Jongpil Kim   +8 more
wiley   +1 more source

Advances in semantic representation for multiscale biosimulation: a case study in merging models [PDF]

, 2009
As a case-study of biosimulation model integration, we describe our experiences applying the SemSim methodology to integrate independently-developed, multiscale models of cardiac circulation. In particular, we have integrated the CircAdapt model (written
Arts, Theo, Cook, Daniel L, Gennari, John H, Neal, Maxwell L   +3 more
core   +1 more source

Automating Adjudication of Cardiovascular Events Using Large Language Models [PDF]

arXiv
Cardiovascular events, such as heart attacks and strokes, remain a leading cause of mortality globally, necessitating meticulous monitoring and adjudication in clinical trials. This process, traditionally performed manually by clinical experts, is time-consuming, resource-intensive, and prone to inter-reviewer variability, potentially introducing bias ...
arxiv  

3D (Bio) Printing Combined Fiber Fabrication Methods for Tissue Engineering Applications: Possibilities and Limitations

Advanced Functional Materials, EarlyView.
Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana, Indra Apsite, Leonid Ionov   +2 more
wiley   +1 more source

f-GAN: A frequency-domain-constrained generative adversarial network for PPG to ECG synthesis [PDF]

arXiv
Electrocardiograms (ECGs) and photoplethysmograms (PPGs) are generally used to monitor an individual's cardiovascular health. In clinical settings, ECGs and fingertip PPGs are the main signals used for assessing cardiovascular health, but the equipment necessary for their collection precludes their use in daily monitoring.
arxiv  

An Optoelectrically Switched, Dual‐Mode Neuromorphic Sensor for Transient and Accumulative Gas Detection

Advanced Functional Materials, EarlyView.
A transistor‐type carbon nanotube gas sensor with dual‐mode detection capability has been proposed. By simply adjusting the gate voltage and UV illumination, this sensor enables both real‐time detection and accumulation‐based sensing of toxic gases within a single device, providing a compact and adaptable platform for environmental monitoring ...
Jaewon Shin, Young‐Woo Jang, Seung‐Han Kang, Jeong‐Wan Jo, Jong Wook Shin, Yong‐Hoon Kim, Sung Kyu Park, Sung Woon Cho   +7 more
wiley   +1 more source

Enhancing Cardiovascular Disease Risk Prediction with Machine Learning Models [PDF]

arXiv
Cardiovascular disease remains a leading global cause of mortality, necessitating accurate risk prediction tools. Traditional methods, such as QRISK and the Framingham heart score, exhibit limitations in their ability to incorporate comprehensive patient data, potentially resulting in incomplete risk factor consideration. To address these shortcomings,
arxiv