Results 71 to 80 of about 119 (119)

Capacity Estimation and Knee Point Prediction Using Electrochemical Impedance Spectroscopy for Lithium Metal Battery Degradation via Machine Learning

Advanced Science, EarlyView.
This work explores a machine learning (ML) model with electrochemical impedance spectroscopy (EIS) data to address two critical challenges in Lithium metal batteries (LMBs): capacity degradation trajectory and knee point (KP) estimation, for the first time.
Qianli Si, Shoichi Matsuda, Yasunobu Ando, Toshiyuki Momma, Yoshitaka Tateyama   +4 more
wiley   +1 more source

An Explainable Multimodal Artificial Intelligence Model Integrating Histopathological Microenvironment and EHR Phenotypes for Germline Genetic Testing in Breast Cancer

Advanced Science, EarlyView.
This study presents an explainable multimodal AI model, MAIGGT (Multimodal Artificial Intelligence Germline Genetic Testing), that combines whole‐slide histopathology with clinical data for accurate germline BRCA1/2 mutation prescreening. By integrating digital pathology and EHR phenotypes, MAIGCT enables cost‐effective, scalable hereditary breast ...
Zijian Yang, Changyuan Guo, Jiayi Li, Yalun Li, Lei Zhong, Pengming Pu, Tongxuan Shang, Lin Cong, Yongxin Zhou, Guangdong Qiao, Ziqi Jia, Hengyi Xu, Heng Cao, Yansong Huang, Tianyi Liu, Jian Liang, Jiang Wu, Dongxu Ma, Yuchen Liu, Ruijie Zhou, Xiang Wang, Jianming Ying, Meng Zhou, Jiaqi Liu   +23 more
wiley   +1 more source

deepTFBS: Improving within‐ and Cross‐Species Prediction of Transcription Factor Binding Using Deep Multi‐Task and Transfer Learning

Advanced Science, EarlyView.
DeepTFBS leverages deep learning to predict transcription factor binding sites across species, integrating multi‐task and transfer learning approaches to improve performance in data‐scarce scenarios. This study demonstrates enhanced accuracy in intra‐ and cross‐species prediction, revealing conserved regulatory patterns and functional variants.
Jingjing Zhai, Yuzhou Zhang, Chujun Zhang, Xiaotong Yin, Minggui Song, Chenglong Tang, Pengjun Ding, Zenglin Li, Chuang Ma   +8 more
wiley   +1 more source

AI‐Driven Defecation Analysis by Smart Healthcare Toilet: Exploring Biometric Patterns and Eu‐Tenesmus

Advanced Science, EarlyView.
A healthcare toilet system is introduced to passively measure defecation behavior. Real‐time data on stool dropping duration, thickness, and a newly defined “eu‐tenesmus” interval show correlations with stool form and gender differences. Results from 45 defecation events reveal a promising method for comprehensive defecation analysis.
Zhiquan Song, TaeHyung Kwon, Jeung Lee, Daeyoun D. Won, Brian J. Lee, Hyuk Soon Choi, Joseph C. Liao, Walter G. Park, Irene Sonu, Stephan Rogalla, Michael J. Rosen, David L. Hu, Jonathan Kuang Ziyang, Sunny Hei Wong, Bong Hyun Jun, Soh Kim, Seung‐min Park   +16 more
wiley   +1 more source

Knowledge Distillation for Molecular Property Prediction: A Scalability Analysis

Advanced Science, EarlyView.
This study explores the effectiveness of knowledge distillation (KD) for molecular property prediction using graph neural networks. By leveraging KD, student models achieve improved scalability and predictive accuracy across domain‐specific and cross‐domain molecular datasets.
Rahul Sheshanarayana, Fengqi You
wiley   +1 more source

Artificial Intelligent‐Enhanced Metabolite Profiling for Intraoperative IDH1 Genotyping in Glioma Using an Orthogonally Responsive SERS Probe

Advanced Science, EarlyView.
This study presents a novel approach for intraoperative identification of the IDH1 genotype in glioma patients using a surface‐enhanced Raman scattering (SERS) probe to measure glutathione and hydrogen peroxide. By integrating AI‐driven deep learning algorithms, the method achieves rapid and accurate genotype differentiation, offering the potential to ...
Hang Yin, Xin Zhang, Zheng Zhao, Chong Cao, Minhua Xu, Suhongrui Zhou, Tian Xuan, Ziyi Jin, Limei Han, Yang Fan, Cong Wang, Xiao Zhu, Ying Mao, Jinhua Yu, Cong Li   +14 more
wiley   +1 more source

A Wearable In‐Pad Diagnostic for the Detection of Disease Biomarkers in Menstruation Blood

Advanced Science, EarlyView.
MenstruAI integrates a paper‐based biosensor into sanitary pads to detect biomarkers in menstrual blood, enabling accessible, lab‐free diagnostics health. The platform supports early disease detection, especially in underserved communities, while challenging menstrual stigma and opening pathways for scalable, inclusive, and sustainable population ...
Lucas Dosnon, Thomas Rduch, Charlotte Meyer, Inge K. Herrmann   +3 more
wiley   +1 more source

In‐Sensor Computing‐Based Smart Sensing Architecture Implemented Using a Dual‐Gate Metal‐Oxide Thin‐Film Transistor Technology

Advanced Electronic Materials, EarlyView.
A smart sensor architecture combining an array of sensing elements with an overlapping array of computing and memory elements thus emulates an innervated peripheral sensing system (IPSS) capable of local and autonomous neuromorphic in‐sensor data pre‐processing is presented. Compatibility of the proposed architecture with functionally distinct elements
Tengteng Lei, Yushen Hu, Xinying Xie, Runxiao Shi, Man Wong   +4 more
wiley   +1 more source

Computational and AI‐Driven Design of Hydrogels for Bioelectronic Applications

Advanced Electronic Materials, EarlyView.
This review highlights the role of AI in advancing hydrogel design for bioelectronics, exploring natural, and synthetic gels tailored for applications like wound healing, biosensing, and tissue engineering. It emphasizes the synergy between hydrogels, electronics, and AI in creating responsive, multifunctional systems, showcasing recent innovations ...
Rebekah Finster, Prashant Sankaran, Eloise Bihar   +2 more
wiley   +1 more source

Investigation of Opto‐magnetic Memory Effects in Antiferromagnetic CuMnAs Using Ultrafast Heat Dynamics and Quench Switching

Advanced Electronic Materials, EarlyView.
Using a pair of excitation laser pulses, this work examines functionalities of an antiferromagnet memory favorable for information processing, readily incorporating transient heat dynamics at sub‐nanosecond times, reminiscing the short‐term memory, and long‐term magnetic memory.
Jan Zubáč, Miloslav Surýnek, Kamil Olejník, Andrej Farkaš, Filip Krizek, Lukáš Nádvorník, Peter Kubaščík, Zdeněk Kašpar, František Trojánek, Richard P. Campion, Vít Novák, Petr Němec, Tomáš Jungwirth   +12 more
wiley   +1 more source