Results 241 to 250 of about 11,974,013 (294)

Cell-based therapies of autoimmune diseases in the context of artificial intelligence development. [PDF]

Clin Exp Med
Dinesh D, Das SS, Bhattacharya B, Pai KSR.   +3 more
europepmc   +1 more source

Imaging the fate of CAR-T cells <i>in vivo</i>. [PDF]

Front Immunol
Wang H, Yan Y, Li Y, Chen S, Ling R, Zhu J, Cheng X.   +6 more
europepmc   +1 more source

Bispecific ANXA2/CD147 CAR-T cell therapy for osteosarcoma. [PDF]

Oncogene
Tang HJ, Dai W, Xiao DT, Li HN, Xiong L, Yang MX, Liang JM, Zou Z, Mai L, Li SH, Liu SY, Feng WY, Lin YH, He ML, Zhan XL, Liu Y.   +15 more
europepmc   +1 more source

Comparative clinical outcomes and single-cell profiling of CD19 CAR-T versus blinatumomab for relapsed/refractory B-ALL. [PDF]

J Immunother Cancer
Wang K, Yu L, Liang X, Song F, Jiang S, Han S, Zhang M, Liu K, Wen R, Jin L, Xiong Y, Qiu Y, Xu H, Wei G, Wang D, Hu Y, Huang H.   +16 more
europepmc   +1 more source

Statistical Inference for Covariate-Adaptive Randomization Procedures With Missing Covariates. [PDF]

Stat Med
Tao Y, Zhang LX.
europepmc   +1 more source

Neural Agent Car-Following Models

IEEE Transactions on Intelligent Transportation Systems, 2007
This paper presents a car-following model that was developed using a neural network approach for mapping perceptions to actions. The model has a similar formulation to the desired spacing models that do not consider reaction time or attempt to explain the behavioral aspects of car following. The model's performance was evaluated based on field data and
Hussein Dia
exaly   +9 more sources

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Modeling oscillatory car following using deep reinforcement learning based car following models

2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2021
In this work, we use reinforcement learning (RL) to train a car following model for vehicle jerk. The learned model is specifically trained for car following in low-speed oscillatory driving conditions such as stop-and-go traffic typical in congested urban centers.
John Nguyen, Raphael E. Stern
openaire   +1 more source

Development of an emotional car-following model

17th International IEEE Conference on Intelligent Transportation Systems (ITSC), 2014
This research effort proposes a new car-following model that includes the effects of emotion on driver behavior. The methodology used to investigate the effects of emotion on driver behavior has three main components: a psychological personality survey, a psychological emotion survey, and simulator scenarios.
Bryan Higgs 0002, Montasir Abbas
openaire   +1 more source