Results 41 to 50 of about 1,022,286 (331)

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

Molecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 more
wiley   +1 more source

The Cubli: Modeling and Nonlinear Attitude Control Utilizing Quaternions

IEEE Access, 2021
This paper covers the modeling and nonlinear attitude control of the Cubli, a cube with three reaction wheels mounted on orthogonal faces that becomes a reaction wheel based 3D inverted pendulum when positioned in one of its vertices.
Fabio Bobrow, Bruno A. Angelico, Flavius P. R. Martins, Paulo S. P. da Silva   +3 more
doaj   +1 more source

Controller Reduction for Nonlinear Systems by Generalized Differential Balancing [PDF]

arXiv, 2021
In this paper, we aim at developing computationally tractable methods for nonlinear model/controller reduction. Recently, model reduction by generalized differential (GD) balancing has been proposed for nonlinear systems with constant input-vector fields and linear output functions.
arxiv  

A review of artificial intelligence in brachytherapy

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen, Richard L. J. Qiu, Tonghe Wang, Shadab Momin, Xiaofeng Yang   +4 more
wiley   +1 more source

Robust Output Feedback Consensus for Networked Heterogeneous Nonlinear Negative-Imaginary Systems [PDF]

, 2020
This paper provides a control protocol for the robust output feedback consensus of networked heterogeneous nonlinear negative-imaginary (NI) systems. Heterogeneous nonlinear output strictly negative-imaginary (OSNI) controllers are applied in positive feedback according to the network topology to achieve output feedback consensus. The main contribution
arxiv   +1 more source

Characterization of a prototype rapid kilovoltage x‐ray image guidance system designed for a linear accelerator radiation therapy unit

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose This study evaluates a novel cone‐beam computed tomography (CBCT) imaging solution integrated onto a conventional C‐arm linear accelerator (linac) with increased gantry speed. The purpose is to assess the impact of improved imaging hardware and reconstruction algorithms on image quality.
Theodore Arsenault, Jonathan Arrue, Kenneth Gregg, Atallah Baydoun, Atefeh Rezai, Christian Langmack, Lauren Henke, Daniel E. Spratt, Rojano Kashani, Alex Price   +9 more
wiley   +1 more source

Design of a multivariable neural controller for control of a nonlinear MIMO plant

International Journal of Applied Mathematics and Computer Science, 2014
The paper presents the training problem of a set of neural nets to obtain a (gain-scheduling, adaptive) multivariable neural controller for control of a nonlinear MIMO dynamic process represented by a mathematical model of Low-Frequency (LF) motions of a
Bańka Stanisław, Dworak Paweł, Jaroszewski Krzysztof   +2 more
doaj   +1 more source

Achieving Performance and Safety in Large Scale Systems with Saturation using a Nonlinear System Level Synthesis Approach [PDF]

arXiv, 2020
We present a novel class of nonlinear controllers that interpolates among differently behaving linear controllers as a case study for recently proposed Linear and Nonlinear System Level Synthesis framework. The structure of the nonlinear controller allows for simultaneously satisfying performance and safety objectives defined for small- and large ...
arxiv  

Comparison of artificial neural network adaptive control techniques for a nonlinear system with delay [PDF]

arXiv, 2023
This research paper compares two neural-network-based adaptive controllers, namely the Hybrid Deep Learning Neural Network Controller (HDLNNC) and the Adaptive Model Predictive Control with Nonlinear Prediction and Linearization along the Predicted Trajectory (AMPC-NPLPT), for controlling a nonlinear object with delay.
arxiv  

Associations of Cerebrospinal Fluid Orexin‐A, Alzheimer Disease Biomarkers, and Cognitive Performance

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACTObjectiveCerebrospinal fluid (CSF) orexin‐A has been suggested to be a biomarker of Alzheimer disease (AD). In both cognitively unimpaired healthy older adults and individuals with symptomatic AD, CSF orexin‐A is positively associated with CSF Aβ42, p‐tau181, and total tau (t‐tau) concentrations.
Ruijin Lu, Krish Shah, Cristina D. Toedebusch, Ashley Hess, Rachel Richardson, Emmanuel Mignot, Suzanne E. Schindler, Tammie L. S. Benzinger, Shaney Flores, Jason Hassenstab, Chengjie Xiong, John C. Morris, David M. Holtzman, Brendan P. Lucey   +13 more
wiley   +1 more source