Results 241 to 250 of about 6,178,397 (360)

AttentivU: An EEG-Based Closed-Loop Biofeedback System for Real-Time Monitoring and Improvement of Engagement for Personalized Learning. [PDF]

Sensors (Basel), 2019
Kosmyna N, Maes P.
europepmc   +1 more source

ARTIFICIAL INTELLIGENCE-BASED ADAPTIVE LEARNING SYSTEMS: DESIGN, IMPLEMENTATION, AND IMPACT ON PERSONALIZED EDUCATION

Abdurasul Rahmonali o'g'li Imomaliyev
openalex   +1 more source

LearneA - Design and Functionalities of a Hybrid Personalized Learning Electronic Assistant

, 2016
Nikolaos Mallios, Michael Vassilakopoulos   +1 more
openalex   +1 more source

AI‐Driven Acceleration of Fluorescence Probe Discovery

Advanced Science, EarlyView.
We present PROBY, an AI model trained on large‐scale datasets to predict key photophysical properties and accelerate the discovery of target‐specific fluorescent probes. By screening a target‐annotated library, PROBY identifies candidate probes for diverse targets and could guide probe optimization, enabling a range of in vitro and in vivo imaging ...
Xuefeng Jiang, Yanbo Li, Xue Tian, Sen Yang, Ruina Luo, Cenxing Zhou, Yuxuan Liu, Jingying Hu, Sen Feng, Lu Gan, Chongzhao Ran, Kun‐Hsing Yu, Junhan Zhao, Xiao Han, Xuan Zhai, Yuntao Jia, Jiapei Dai, Xiyue Wang, Biyue Zhu   +18 more
wiley   +1 more source

Stimuli‐Responsive Supramolecular Biomaterials for Cancer Theranostics

Advanced Science, EarlyView.
The ultimate goal of cancer theranostics is to get imaging agents and therapeutic cargo to tumor sites when and where they are required. “Smart” systems should be developed. This review discusses the characteristics of physiological stimuli, types and action modes of external stimuli, construction approaches and working principles, as well as ...
Wenting Hu, Binglin Ye, Guocan Yu, Feihe Huang, Zhengwei Mao   +4 more
wiley   +1 more source

Personalized learning: From neurogenetics of behaviors to designing optimal language training. [PDF]

Neuropsychologia, 2017
Wong PCM, Vuong LC, Liu K.
europepmc   +1 more source

Securing 5G/6G IoT Using Transformer and Personalized Federated Learning: An Access-Side Distributed Malicious Traffic Detection Framework [PDF]

Yantian Luo, Xu Chen, Hancun Sun, Xiangling Li, Ning Ge, Wei Feng, Jianhua Lü   +6 more
openalex   +1 more source

A Deep Representation Learning Method for Quantitative Immune Defense Function Evaluation and Its Clinical Applications

Advanced Science, EarlyView.
ImmuDef, a novel algorithm to quantitatively evaluate the anti‐infection immune defense function of an individual based on RNA‐seq data via a variational autoencoder (VAE) model. It is validated on 3200+ samples across four immune states with high accuracy. It can serve as a metric for disease severity and prognosis across pathogenic cohorts.
Zhen‐Lin Tan, Tao Luo, Yu Lin, Xiao‐Jun Wu, Wen‐Kang Shen, Jie Chen, Qian Lei, An‐Yuan Guo   +7 more
wiley   +1 more source

Personalized learning: The simple, the complicated, the complex and the chaotic

Teaching and Teacher Education : An International Journal of Research and Studies
Maya Gunawardena, P. Bishop, Kithmini Aviruppola   +2 more
semanticscholar   +1 more source

Pathomics Signature for Prognosis and CA19‐9 Interception in Pancreatic Ductal Adenocarcinoma: A Real‐Life, Multi‐Center Study

Advanced Science, EarlyView.
This study develops a deep learning‐based pathomics model to predict survival outcomes in pancreatic cancer patients. The CrossFormer architecture analyzes routine H&E‐stained tissue slides, identifying key prognostic features including stromal patterns, cellular characteristics, and immune infiltration.
Qiangda Chen, Zhihang Xu, Yiping Zou, Zhenlai Jiang, Yecheng Li, Taochen He, Hanlin Yin, Jiali Li, Yanfei An, Jiande Han, Yuqi Xie, Wei Gan, Yaolin Xu, Wenquan Wang, Junyi He, Haibo Wang, Wenchuan Wu, Zhenyu Ye, Wenhui Lou, Jihui Hao, Liang Liu, Jun Yu, Ning Pu   +22 more
wiley   +1 more source