Materials Advances in Devices for Heart Disease Interventions
This review examines the crucial role of materials in heart disease interventions, focusing on strategies for monitoring, managing, and repairing heart conditions. It discusses the material requirements for medical devices, highlighting recent innovations and their impact on cardiovascular health.
Gagan K. Jalandhra+11 more
wiley +1 more source
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
A Physics-Based Approach to Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems
Given that observational and numerical climate data are being produced at ever more prodigious rates, increasingly sophisticated and automated analysis techniques have become essential.
Crutchfield, J. P.+3 more
core
Harnessing Photo‐Energy Conversion in Nanomaterials for Precision Theranostics
Harnessing photo‐energy conversion in nanomaterials enables precision theranostics through light‐driven mechanisms such as photoluminescence, photothermal, photoelectric, photoacoustic, photo‐triggered surface‐enhanced Raman scattering (SERS), and photodynamic processes. This review explores six fundamental principles of photo‐energy conversion, recent
Jingyu Shi+4 more
wiley +1 more source
Impact Driven Liquid Encapsulation: Promises, Development, and Future Prospects
This perspective explores impact‐driven encapsulation, focusing on liquid–liquid encapsulation for ultrafast, controlled wrapping of various liquid analytes. It discusses recent advancements, including scalable multidroplet/multilayer encapsulation, durable capsule formation, and active manipulation strategies.
Sirshendu Misra, Sushanta K. Mitra
wiley +1 more source
Photothermal neuromodulation is a promising technique for versatile neural signal study and treatment development. To further develop these technologies and optimize their effectiveness, transparent electrical temperature sensors with high thermal sensitivity and resolution are essential for accurately monitoring temperature changes during ...
Jee Woong Lee+7 more
wiley +1 more source
Spatiotemporal sentiment variation analysis of geotagged COVID-19 tweets from India using a hybrid deep learning model [PDF]
Vaibhav Kumar
openalex +1 more source
Biological and Mechanical Limitations for Chronic Fast‐Scan Cyclic Voltammetry Sensor Design
Real‐time detection of neurochemicals has demonstrated value in the field of neuroscience. However, current methods have limitations for use in the chronic setting, which is often the ideal environment for research. This article discusses these limitations, as well as technologies that have been developed to overcome them, and provides recommendations ...
Mason L. Perillo+6 more
wiley +1 more source
A Framework to Predict High-Resolution Spatiotemporal PM2.5 Distributions Using a Deep-Learning Model: A Case Study of Shijiazhuang, China [PDF]
Guangyuan Zhang+6 more
openalex +1 more source
New open-source software for subcellular segmentation and analysis of spatiotemporal fluorescence signals using deep learning [PDF]
Sharif Amit Kamran+7 more
openalex +1 more source