Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jamalina Jamaluddin"'
Autor:
Dipesh Niraula, Wenbo Sun, Jionghua Jin, Ivo D. Dinov, Kyle Cuneo, Jamalina Jamaluddin, Martha M. Matuszak, Yi Luo, Theodore S. Lawrence, Shruti Jolly, Randall K. Ten Haken, Issam El Naqa
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Involvement of many variables, uncertainty in treatment response, and inter-patient heterogeneity challenge objective decision-making in dynamic treatment regime (DTR) in oncology. Advanced machine learning analytics in conjunction with info
Externí odkaz:
https://doaj.org/article/e6bc45b0ec0d4e6583dfd1ac30702ff7
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract Subtle differences in a patient’s genetics and physiology may alter radiotherapy (RT) treatment responses, motivating the need for a more personalized treatment plan. Accordingly, we have developed a novel quantum deep reinforcement learni
Externí odkaz:
https://doaj.org/article/521405cdb288465fa80b89b9f335c830
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-2 (2023)
Externí odkaz:
https://doaj.org/article/24316368a86c487f8328a9536dc1a313
Autor:
Dipesh Niraula, Wenbo Sun, Jionghua (Judy) Jin, Ivo D. Dinov, Kyle Cuneo, Jamalina Jamaluddin, Martha M. Matuszak, Yi Luo, Theodore S. Lawrence, Shruti Jolly, Randall K. Ten Haken, Issam El Naqa
BackgroundInvolvement of many variables, uncertainty in treatment response, and inter-patient heterogeneity challenge objective decision-making in dynamic treatment regime (DTR) in oncology. Advanced machine learning analytics in conjunction with inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::062fce3ce18630426a5271c32119db97
https://doi.org/10.1101/2022.09.23.22280215
https://doi.org/10.1101/2022.09.23.22280215
Publikováno v:
Machine and Deep Learning in Oncology, Medical Physics and Radiology ISBN: 9783030830465
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbd322ef2d7216c8af1de17779b2817d
https://doi.org/10.1007/978-3-030-83047-2_5
https://doi.org/10.1007/978-3-030-83047-2_5