Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Andrzej Świerniak"'
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 10, p e1008234 (2020)
We developed a computational platform including machine learning and a mechanistic mathematical model to find the optimal protocol for administration of platinum-doublet chemotherapy in a palliative setting. The platform has been applied to advanced
Externí odkaz:
https://doaj.org/article/266ee800ffff403c9b72ad670d21db13
Publikováno v:
Journal of Intelligent Manufacturing.
This paper introduces a new concept to solve car sequencing problem called the Car Sequencing Problem 4.0, focuses the paint shop. The problem of effective car sequencing in the paint shop is caused by the specifics of the production process itself a
Autor:
Agata Wilk, Damian Borys, Krzysztof Fujarewicz, Andrea d’Amico, Rafał Suwiński, Andrzej Świerniak
Publikováno v:
Intelligent Information and Database Systems ISBN: 9783031219665
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::293e9e5398fdbb8789fe5e83468fe332
https://doi.org/10.1007/978-3-031-21967-2_6
https://doi.org/10.1007/978-3-031-21967-2_6
Publikováno v:
Recent Challenges in Intelligent Information and Database Systems ISBN: 9789811982330
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::749e5c910d27ac3152738d15dbda136a
https://doi.org/10.1007/978-981-19-8234-7_18
https://doi.org/10.1007/978-981-19-8234-7_18
Autor:
Krzysztof Fujarewicz, Agata Wilk, Damian Borys, Andrea d’Amico, Rafał Suwiński, Andrzej Świerniak
Publikováno v:
Intelligent Information and Database Systems ISBN: 9783031219665
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e040580b3b7ae0bc717c74bfd73c41a
https://doi.org/10.1007/978-3-031-21967-2_4
https://doi.org/10.1007/978-3-031-21967-2_4
Autor:
Emilia Kozłowska, Andrzej Świerniak
Publikováno v:
Biocybernetics and Biomedical Engineering – Current Trends and Challenges ISBN: 9783030837037
Lung cancer is the most common type of cancer across the world. There are known two main types of lung cancer non-small cell lung (NSCLC) and small cell one (SCLC). Here, we focus on NSCLC that is known to disseminate to distant organs such as the br
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0546e8c49b8dd358b442c19d92b7abd5
https://doi.org/10.1007/978-3-030-83704-4_7
https://doi.org/10.1007/978-3-030-83704-4_7
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 10, p e1008234 (2020)
PLoS Computational Biology
PLoS Computational Biology
We developed a computational platform including machine learning and a mechanistic mathematical model to find the optimal protocol for administration of platinum-doublet chemotherapy in a palliative setting. The platform has been applied to advanced
Publikováno v:
Intelligent Information and Database Systems ISBN: 9783030419639
ACIIDS (1)
ACIIDS (1)
We summarize results of our research studies on models of combined anticancer radio- and chemotherapy and their comparison with real clinical data. We use two mathematical techniques, which, to our knowledge, have not been applied simultaneously: opt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20b130b245691668d9543e7e975512a6
https://doi.org/10.1007/978-3-030-41964-6_32
https://doi.org/10.1007/978-3-030-41964-6_32
Autor:
Jarosław Śmieja, Andrzej Świerniak, Rafał Suwiński, Krzysztof Fujarewicz, Monika Kurpas, Sebastian Wołkowicz, Krzysztof Łakomiec
Publikováno v:
Mathematica Applicanda. 47
The paper presents a novel approach to the prediction of the combined therapy outcome for non-small lung cancer patients. A hybrid model is proposed, consisting of two parts. The first one is a mathematical model of tumor response to therapy, whose p