Results 261 to 270 of about 1,210,874 (307)

Machine‐Learning‐Aided Advanced Electrochemical Biosensors

Advanced Materials, EarlyView.
Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan, Roozbeh Siavash Moakhar, Carolina del Real Mata, Max Petkun, Tristan De Iure‐Grimmel, Sripadh Guptha Yedire, Hamed Shieh, Arash Khorrami Jahromi, Sahar Sadat Mahshid, Sara Mahshid   +9 more
wiley   +1 more source

Precise and low-power closed-loop neuromodulation through algorithm-integrated circuit co-design. [PDF]

Front Neurosci
Yang J, Zhao S, Wang J, Lin S, Hou Q, Sawan M.   +5 more
europepmc   +1 more source

Robust Full‐Surface Bonding of Substrate and Electrode for Ultra‐Flexible Sensor Integration

Advanced Materials, EarlyView.
A direct hybrid bonding method that enables both gold and parylene bonding without adhesives is developed. This technique achieves full‐surface direct bonding of electrodes and substrates in flexible electronic connections. The method offers high flexibility, stable mechanical durability, and high‐resolution interconnections, accommodating varying ...
Masahito Takakuwa, Daishi Inoue, Lulu Sun, Michitaka Yamamoto, Shinjiro Umezu, Daisuke Hashizume, Toshihiro Itoh, Kenjiro Fukuda, Takao Someya, Tomoyuki Yokota   +9 more
wiley   +1 more source

Remaining useful life prognostics of bearings based on convolution attention networks and enhanced transformer. [PDF]

Heliyon
Sun N, Tang J, Ye X, Zhang C, Zhu S, Wang S, Sun Y.   +6 more
europepmc   +1 more source

A Multimodal Humidity Adaptive Optical Neuron Based on a MoWS2/VOx Heterojunction for Vision and Respiratory Functions

Advanced Materials, EarlyView.
A multifunctional memristor is demonstrated for in‐memory sensing and computing, leveraging a MoWS₂/VOx heterojunction to enable high ON/OFF ratio up to 10⁸ with ultralow operating voltages of ±0.2 V. This bio‐inspired multimodal design exhibits tunable synaptic behavior across electrical, optical, and humidity stimuli, enabling in situ modulation of ...
Abdul Momin Syed, Dhananjay D. Kumbhar, Hanrui Li, Manoj Kumar Rajbhar, Dayanand Kumar, Pratibha Pal, Nimer Wehbe, Mohamed ben Hassine, Nazek El‐Atab   +8 more
wiley   +1 more source

Multi-scale attention patching encoder network: a deployable model for continuous estimation of hand kinematics from surface electromyographic signals. [PDF]

J Neuroeng Rehabil
Lin C, Xiao Q, Zhao P.
europepmc   +1 more source

Scaling Up Purcell‐Enhanced Self‐Assembled Nanoplasmonic Perovskite Scintillators into the Bulk Regime

Advanced Materials, EarlyView.
This study presents a scalable approach to enhancing bulk scintillators using nanoplasmonics. By integrating 100‐nm silver nanoparticles with perovskite scintillator nanocrystals in a polymer matrix, significant improvements in light yield and decay rates via the Purcell effect are achieved.
Michal Makowski, Wenzheng Ye, Dominik Kowal, Francesco Maddalena, Somnath Mahato, Yudhistira Tirtayasri Amrillah, Weronika Zajac, Marcin Eugeniusz Witkowski, Konrad Jacek Drozdowski, Nathaniel, Cuong Dang, Joanna Cybinska, Winicjusz Drozdowski, Ferry Anggoro Ardy Nugroho, Christophe Dujardin, Liang Jie Wong, Muhammad Danang Birowosuto   +16 more
wiley   +1 more source

Photonic Nanomaterials for Wearable Health Solutions

Advanced Materials, EarlyView.
This review discusses the fundamentals and applications of photonic nanomaterials in wearable health technologies. It covers light‐matter interactions, synthesis, and functionalization strategies, device assembly, and sensing capabilities. Applications include skin patches and contact lenses for diagnostics and therapy. Future perspectives emphasize AI‐
Taewoong Park, Jung Woo Leem, Young L. Kim, Chi Hwan Lee   +3 more
wiley   +1 more source

Optimizing diabetic retinopathy detection with electric fish algorithm and bilinear convolutional networks. [PDF]

Sci Rep
Pamula U, Pulipati V, Vijaya Suresh G, Jagannatha Reddy MV, Bondala AK, Mantena SV, Vatambeti R.   +6 more
europepmc   +1 more source

Inorganic Dielectric Materials Coupling Micro‐/Nanoarchitectures for State‐of‐the‐Art Biomechanical‐to‐Electrical Energy Conversion Devices

Advanced Materials, EarlyView.
Biomechanical‐to‐electrical energy conversion devices are uniquely suited for self‐driven physiological information monitoring and powering human–computer interaction systems. These devices based on micro‐/nanoarchitectured inorganic dielectric materials (MNIDMs) have shown ultrahigh electromechanical performance and thus great potential for practical ...
Jia‐Han Zhang, Zhengtong Li, Zeng Liu, Mingxuan Li, Jiaxin Guo, Jinhua Du, Changkun Cai, Shaohui Zhang, Ningning Sun, Yong Li, Xingtao Xu, Xihong Hao, Yusuke Yamauchi   +12 more
wiley   +1 more source