Results 71 to 80 of about 522,455 (311)

Longitudinal genome‐wide aneuploidy measurements in circulating cell‐free DNA to predict lack of benefit from pembrolizumab in patients with metastatic urothelial cancer

Molecular Oncology, EarlyView.
Many patients with urothelial cancer do not benefit from treatment with pembrolizumab, while at risk of severe side effects. Changes in the levels of circulating tumor DNA early during treatment, measured by a simple and affordable assay that can be easily implemented in the clinic, can be used as a prognostic tool to identify these patients.
Youssra Salhi, Stavros Makrodimitris, Sandra van Wilpe, Iris te Paske, Vanja de Weerd, Corine M. Beaufort, Hans M. Westgeest, Jens Voortman, Maureen J. B. Aarts, Maud Rijnders, Astrid A. M. van der Veldt, Ronald de Wit, Niven Mehra, Saskia M. Wilting, Debbie G. J. Robbrecht   +14 more
wiley   +1 more source

The impact of exploration on convergence and performance of multi-agent Q-learning dynamics

, 2023
Understanding the impact of exploration on the behaviour of multi-agent learning has, so far, benefited from the restriction to potential, or network zero-sum games in which convergence to an equilibrium can be shown.
Hussain, A, Paccagnan, D, Belardinelli, F   +2 more
core  

Machine Learning-Based Assessment of Watershed Morphometry in Makran

, 2023
This study proposes an artificial intelligence approach to assess watershed morphometry in the Makran subduction zones of South Iran and Pakistan. The approach integrates machine learning algorithms, including artificial neural networks (ANN), support ...
Mojtaba Zaresefat, Majid Nemati, Reza Derakhshani, Amin GhasemiNejad, Amir Raoof, Ahmad Rashidi, Shahram Shafieibafti, Vahid Nikpeyman   +7 more
core   +1 more source

Unveiling the unexpected sinking and embedding dynamics of surface supported Mo/S clusters on 2D MoS2 with active machine learning

Smart Molecules
Surface‐supported clusters forming by aggregation of excessive adatoms could be the main defects of 2D materials after chemical vapor deposition. They will significantly impact the electronic/magnetic properties.
Luneng Zhao, Yanhan Ren, Xiaoran Shi, Hongsheng Liu, Zhigen Yu, Junfeng Gao, Jijun Zhao   +6 more
doaj   +1 more source

Survey on Lie Group Machine Learning

Big Data Mining and Analytics, 2020
Lie group machine learning is recognized as the theoretical basis of brain intelligence, brain learning, higher machine learning, and higher artificial intelligence. Sample sets of Lie group matrices are widely available in practical applications.
Mei Lu, Fanzhang Li
doaj   +1 more source

Liquid biopsy‐based diagnostic evaluation of hypermethylated CpG sites for ovarian cancer diagnosis

Molecular Oncology, EarlyView.
This schematic outlines the workflow from biomarker identification to duplex MethyLight assay validation for epithelial ovarian cancer diagnosis using cfDNA‐based liquid biopsy. Initial screening of hypermethylated CpG candidates (cg02957270, cg10061138 cg00480298, COL2A1) was performed in tissue using ARMS‐PCR, COBRA, qPCR and image analysis. Selected
Deepa Bisht, Sameer Gupta, Amrita Chaurasia, Manisha Sachan   +3 more
wiley   +1 more source

The need for open source software in machine learning

, 2022
S.2443-2466Open source tools have recently reached a level of maturity which makes them suitable for building large-scale real-world systems. At the same time, the field of machine learning has developed a large body of powerful learning algorithms for ...
Schölkopf, B., Vincent, P., Braun, M.L., Bottou, L., Holmes, G., Pereira, F., Rasmussen, C.E., Smola, A., Sonnenburg, S., Williamson, R.C., Ong, C.S., Rätsch, G., Weston, J., Bengio, S., LeCun, Y., Müller, K.-R.   +15 more
core  

Developing a machine learning interatomic potential for advanced ceramics

, 2023
: Advanced ceramics, such as boron carbide, exhibit high strength, abrasion resistance, chemical and thermal stability, and low density making them candidate material for extreme condition applications like body armour, wear-resistant components, and ...

core   +1 more source

Patient therapy outcome modeling in cancer organoids is improved by cancer‐associated fibroblasts and organoid assembly convolution

Molecular Oncology, EarlyView.
Patient‐derived organoids (PDOs) from pancreatic, colorectal, and gastric cancers were used to evaluate standard and experimental therapies. Incorporating cancer‐associated fibroblasts (CAFs) into organoid cultures improved patient therapy outcome prediction.
Marcin Grochowski, Liudmyla Dolinchuk, Michał Jerzak, Albert Gandurski, Tomasz Grochowski, Weronika Wojtyś, Maciej Zadrożny, Wojciech Kaźmierczak, Małgorzata Lenarcik, Marta Matejak‐Górska, Radosław Samsel, Tomasz Olesiński, Dawid Walerych   +12 more
wiley   +1 more source

Spatially Resolved Uncertainties for Machine Learning Potentials

Journal of Chemical Information and Modeling
Machine learning potentials have become an essential tool for atomistic simulations, yielding results close to ab initio simulations at a fraction of computational cost. With recent improvements on the achievable accuracies, the focus has now shifted on the data set composition itself. The reliable identification of erroneously predicted configurations
Esther Heid, Johannes Schörghuber, Ralf Wanzenböck, Georg K. H. Madsen   +3 more
openaire   +2 more sources