Results 171 to 180 of about 361,441 (286)

Spatio-temporal transformer traffic prediction network based on multi-level causal attention. [PDF]

PLoS One
He H, Long Z, Zhang Y, Jiang X.
europepmc   +1 more source

Application of SDN Network Traffic Prediction Based on Speech Recognition in Educational Information Optimization Platform. [PDF]

Comput Intell Neurosci, 2022
Zheng S, Yang S.
europepmc   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Network traffic prediction based on transformer and temporal convolutional network. [PDF]

PLoS One
Wang Y, Chen P.
europepmc   +1 more source

A Novel Method for Improved Network Traffic Prediction Using Enhanced Deep Reinforcement Learning Algorithm. [PDF]

Sensors (Basel), 2022
Balamurugan NM, Adimoolam M, Alsharif MH, Uthansakul P.   +3 more
europepmc   +1 more source

Nanomedicine Meets Immunotherapy: Advancing Adoptive Cell Therapy with Nanoparticles in the Treatment of Cancer with Sustainability Perspectives

Advanced Science, EarlyView.
This review surveys nanoparticle‐based strategies to enhance adoptive cell therapy, particularly CAR‐T cell approaches, in solid tumor treatment. It describes how nanoparticles can improve tumor immunogenicity and T‐cell infiltration while reducing toxicity, and how they enable in vivo CAR‐T cell generation.
Erica Frostegård, Tatiana Bobrova, Amalie Leinebø, Thibault Leray, Shayamita Ghosh, Lorena García‐Hevia, Chiara Puccinelli, Lorenzo Riccio, Jacopo Sorani, Davide Bonifazi, Julien Caumartin, Emmanuel Donnadieu, Florence Gazeau, Roland Hischier, Else Marit Inderberg, Mónica L. Fanarraga, Maria Loustau, Bernd Nowack, Sébastien Wälchli, Cécilia Ménard‐Moyon   +19 more
wiley   +1 more source

Accurate V2X traffic prediction with deep learning architectures. [PDF]

Front Artif Intell
Abdellah AR, Abdelmoaty A, Ateya AA, Abd El-Latif AA, Muthanna A, Koucheryavy A.   +5 more
europepmc   +1 more source

Multicomponent Spatial-Temporal Graph Attention Convolution Networks for Traffic Prediction with Spatially Sparse Data. [PDF]

Comput Intell Neurosci, 2021
Liu S, Dai S, Sun J, Mao T, Zhao J, Zhang H.   +5 more
europepmc   +1 more source

Dynamic Shifts in ER–Plasma Membrane Junctions Signaling Define Pro‐Metastatic N‐Glycosylation and Predict Prostate Cancer Progression

Advanced Science, EarlyView.
Prostate cancer remains a leading cause of male cancer death, yet screening cannot reliably identify aggressive disease, underscoring the need for tissue biomarkers. It is shown that primary tumors increase ER–plasma membrane junction signaling via STIM1/ORP5, whereas metastasis features their loss, Golgi dispersal, and rapid conversion of high‐mannose
Amanda J. Macke, Tania Kamal, Taylor E. Divita, Artem N. Pachikov, Chad A. LaGrange, Rajesh Ravichandran, Martha Morton, Robert Powers, Haowen Qiu, Jean‐Jack M. Riethoven, Colm Morrissey, Melinda Wojtkiewicz, Rebekah L. Gundry, Carol A. Casey, Armen Petrosyan   +14 more
wiley   +1 more source

A hybrid support vector machine and neural network model with fuzzy logic fusion for smart city traffic prediction. [PDF]

Sci Rep
Abbas B, Alyas T, Abbas Q, Alqahtany SS, Alghamdi T, Aljohani N, Tabassum N, Ibrahim AM.   +7 more
europepmc   +1 more source