Results 61 to 70 of about 29,813 (248)

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

Advanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale, Marie Celine Lefevre, Alessio Carmignani, Maria Cristina Ceccarelli, Matteo Battaglini, Attilio Marino, Gianni Ciofani   +6 more
wiley   +1 more source

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

Advanced Science, EarlyView.
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao, Yiming Ma, Baihao Shao, Molly M. Stevens   +3 more
wiley   +1 more source

Multidimensional and Multifunctional Laser‐Induced Graphene (LIG) for Point‐of‐Care and Wearable Biosensing, Theranostics, and Bioactive Interfaces Toward Personalized Healthcare and Regenerative Medicine

Advanced Science, EarlyView.
Multidimensional laser‐induced graphene (LIG) spanning from 0D to 3D architectures is comprehensively reviewed for multifunctional biomedical platforms, including biosensing, theranostics, and bioactive interface applications, which highlights its potentials for point‐of‐care diagnostics, wearable health monitoring, smart drug delivery, and tissue ...
Li Zhang, Yurou Yuan, Xiaohong Ding, Wing Cheung Mak   +3 more
wiley   +1 more source

Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates

Advanced Science, EarlyView.
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao, Yufei Liu, Ruixi Huang, Zhongxue Gan, Siyang Leng   +4 more
wiley   +1 more source

Heart Sound Signal Classification Algorithm: A Combination of Wavelet Scattering Transform and Twin Support Vector Machine

IEEE Access, 2019
By classifying the heart sound signals, it can provide very favorable clinical information to the diagnosis of cardiovascular diseases. According to the characteristics of heart sound signals which are complex and difficult to classify and recognize, a ...
Jinghui Li, Li Ke, Qiang Du, Xiaodi Ding, Xiangmin Chen, Danni Wang   +5 more
doaj   +1 more source

AI‐Assisted Digital Single‐Molecule Activity Tracker for Decoupling Intrinsic Heterogeneity from Photo‐Oxidative Damage in High‐Photon‐Flux Enzymology

Advanced Science, EarlyView.
Employing a digital single‐molecule activity tracker (dSMAT), this research demonstrates that high‐photon‐flux irradiation drives progressive oxidative scarring in polymerases. Unlike simple thermal denaturation, real‐time kinetic tracking dynamically visualizes enzymes degrading into multiple impaired subpopulations.
Anran Zheng, Qi Yang, Jinze Li, Fuqiang Ma, Xuefeng Wang, Zhen Guo, Chuanyu Li, Dongshu Li, Jia Yao, Zhiqi Zhang, Wei Zhang, Lianqun Zhou   +11 more
wiley   +1 more source

A Metal‐Phenolic Nanocluster Orchestrates Mito‐Ca2+ Metabolic Autonomy for Tumor Ca2+ Interference Therapy

Advanced Science, EarlyView.
Tumor Ca2+ interference therapy suffers from self‐protective Ca2+ metabolic autoregulation. In this scenario, a versatile metal‐phenolic nanocluster (TCMH) is engineered to modulate mitochondrial calcium uniporter (MCU) ‐mediated mito‐Ca2+ metabolic autonomy.
Ronglong Chen, Jia Huang, Yuepeng Wang, Shucong Yao, Fei Wu, Juan Liu, Chunxue Song, Li Lin, Xijun Lin, Yingjie Deng, Chao Zhang, Zhiquan Huang, Zixian Huang, Lisi Xie   +13 more
wiley   +1 more source

KLASIFIKASI SUARA JANTUNG MENGGUNAKAN DEEP LEARNING INTEGRASI AI DALAM APLIKASI WEB UNTUK DETEKSI DINI GANGGUAN KARDIOVASKULAR

Jurnal Komputer Terapan
Heart disease is one of the leading causes of death worldwide, making early detection crucial to prevent more serious complications. One of the methods that can be used is heart sound analysis, which contains important information related to the ...
warnia nengsih, Mona Elviyenti, Mardhiah Fadhli, Galih Aleanda, Nuradila Utama   +4 more
doaj   +1 more source

Heart Sound Classification Using Deep Structured Features [PDF]

2016 Computing in Cardiology Conference (CinC), 2016
We present a novel machine learning-based method for heart sound classification which we submitted to the PhysioNet/CinC Challenge 2016. Our method relies on a robust feature representation — generated by a wavelet-based deep convolutional neural network (CNN) — of each cardiac cycle in the test recording, and support vector machine classification.
Michael Tschannen, Thomas Kramer, Gian Marti, Matthias Heinzmann, Thomas Wiatowski   +4 more
openaire   +1 more source

Integrative Omics Analysis Reveals the Regulation of Hypoxia Tolerance in Large Yellow Croaker (Larimichthys crocea) via the Lipoic Acid Synthase (lias) Gene

Advanced Science, EarlyView.
Lipoic acid synthase (lias) can regulate α‐KG levels through lipoylation, thereby negatively regulating HIF‐1α protein levels via PHD under hypoixa. The Hap2 allele of lias exhibits lower expression levels than Hap1, leading to the accumulation of more HIF‐1α protein and thereby enhancing hypoxia tolerance. ABSTRACT Hypoxia stress seriously affects the
Jie Ding, Songpeng Jia, Ran Meng, Xuelei Wang, Xiongfei Wu, Weiliang Shen, Yibo Zhang, Junquan Zhu   +7 more
wiley   +1 more source