Results 101 to 110 of about 325,723 (299)

Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data.
Hui‐Ju Wang, Austen Maniscalco, David Sher, Mu‐Han Lin, Steve Jiang, Dan Nguyen   +5 more
wiley   +1 more source

Leveraging rule-based machine translation knowledge for under-resourced neural machine translation models

, 2019
Conference ...
Torregrosa, Daniel, Pasricha, Nivranshu, Chakravarth, Bharathi Raja, Masoud, Maraim, Alonso, Juan, Casas, Noe, Arcan, Mihael   +6 more
openaire   +3 more sources

Increasing the throughput of machine translation systems using clouds [PDF]

arXiv, 2016
The manuscript presents an experiment at implementation of a Machine Translation system in a MapReduce model. The empirical evaluation was done using fully implemented translation systems embedded into the MapReduce programming model. Two machine translation paradigms were studied: shallow transfer Rule Based Machine Translation and Statistical Machine
arxiv  

The effect of multi‐leaf collimator leaf width on VMAT treatment plan quality

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background The advent of volumetric modulated arc therapy (VMAT) in radiotherapy has made it one of the most commonly used techniques in clinical practice. VMAT is the delivery of intensity modulated radiation therapy (IMRT) while the gantry is in motion, and existing literature has shown it has decreased treatment delivery times and the ...
Gregory Sadharanu Peiris, Brendan Whelan, Nicholas Hardcastle, Suzie Lynn Sheehy   +3 more
wiley   +1 more source

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

A systematic review of electron FLASH dosimetry and beam control mechanisms utilized with modified non‐clinical LINACs

Journal of Applied Clinical Medical Physics, EarlyView.
Abstract Background FLASH has been shown to spare normal tissue toxicity while maintaining tumor control. However, existing irradiation platforms and dosimetry are not compatible. Consequently, an abundance of FLASH delivery devices and new dosimetry across all modalities has been created.
Justin DeFrancisco, Siyong Kim
wiley   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Spatiotemporal Control Over Protein Release from Artificial Cells via a Light‐Activatable Protease

Advanced Biology, EarlyView.
Stimulus‐responsive protein release is essential for intercellular communication. Mimicking this functionality in artificial cells is promising to study the working principles of cellular signaling. Herein, an engineered light‐activatable protease is implemented in a coacervate‐based artificial cell platform to establish user‐defined spatiotemporal ...
Arjan Hazegh Nikroo, Wiggert J. Altenburg, Thijs W. van Veldhuisen, Luc Brunsveld, Jan C. M. van Hest   +4 more
wiley   +1 more source

Regulating Protein Immobilization During Cell‐Free Protein Synthesis in Hyaluronan Microgels

Advanced Biology, EarlyView.
Bifunctional microgels carrying a linear DNA template and Ni2+‐activated NTA moieties are used as platform for cell‐free protein synthesis and in situ protein immobilization. By varying the concentration of NTA moieties in the microgels, the amount of GFP‐His immobilized inside the microgel and released to the microgel environment can be regulated ...
Anika Kaufmann, Kateryna Ivanova, Julian Thiele   +2 more
wiley   +1 more source

The Aging Substantia Nigra is Characterized by ROS Accumulation Potentially Resulting in Increased Neuroinflammation and Cytoskeletal Remodeling

Advanced Biology, EarlyView.
Definition of study groups, including young individuals (n = 7 mean age: 28.7 years), middle aged individuals (n = 14 mean age: 62.3 years) and elderly individuals (n = 14 mean age: 83.9 years). Condensed workflow including sample preparation (sample lysis and tryptic digestion), mass spectrometric measurements and subsequent data and statistical ...
Britta Eggers, Simone Steinbach, Isabel Gil Aldea, Sharon Keers, Mariana Molina, Lea T. Grinberg, Helmut Heinsen, Renata E. Paraizo Leite, Johannes Attems, Caroline May, Katrin Marcus   +10 more
wiley   +1 more source