Zobrazeno 1 - 10
of 45 987
pro vyhledávání: '"response prediction"'
Autor:
Cao, Cheng1 (AUTHOR), Zhao, Haochen1 (AUTHOR), Wang, Jianxin1 (AUTHOR) jxwang@mail.csu.edu.cn
Publikováno v:
Briefings in Bioinformatics. Nov2024, Vol. 25 Issue 6, p1-11. 11p.
Autor:
Meng, Shiqiao, Zhou, Ying, Zheng, Qinghua, Liao, Bingxu, Chang, Mushi, Zhang, Tianshu, Djerrad, Abderrahim
Accurately predicting the dynamic responses of building structures under seismic loads is essential for ensuring structural safety and minimizing potential damage. This critical aspect of structural analysis allows engineers to evaluate how structure
Externí odkaz:
http://arxiv.org/abs/2410.20186
Autor:
Overbeek, Jamie C., Partin, Alexander, Brettin, Thomas S., Chia, Nicholas, Narykov, Oleksandr, Vasanthakumari, Priyanka, Wilke, Andreas, Zhu, Yitan, Clyde, Austin, Jones, Sara, Gnanaolivu, Rohan, Liu, Yuanhang, Jiang, Jun, Wang, Chen, Knutson, Carter, McNaughton, Andrew, Kumar, Neeraj, Fernando, Gayara Demini, Ghosh, Souparno, Sanchez-Villalobos, Cesar, Zhang, Ruibo, Pal, Ranadip, Weil, M. Ryan, Stevens, Rick L.
Cancer drug response prediction (DRP) models present a promising approach towards precision oncology, tailoring treatments to individual patient profiles. While deep learning (DL) methods have shown great potential in this area, models that can be su
Externí odkaz:
http://arxiv.org/abs/2409.12215
Graph Neural Networks have been widely applied in critical decision-making areas that demand interpretable predictions, leading to the flourishing development of interpretability algorithms. However, current graph interpretability algorithms tend to
Externí odkaz:
http://arxiv.org/abs/2408.17129
Predicting the response of a cancer cell line to a therapeutic drug is pivotal for personalized medicine. Despite numerous deep learning methods that have been developed for drug response prediction, integrating diverse information about biological e
Externí odkaz:
http://arxiv.org/abs/2408.12139
Bevacizumab is a widely studied targeted therapeutic drug used in conjunction with standard chemotherapy for the treatment of recurrent ovarian cancer. While its administration has shown to increase the progression-free survival (PFS) in patients wit
Externí odkaz:
http://arxiv.org/abs/2407.20596
Autor:
Rashid, Md Mamunur1 (AUTHOR), Selvarajoo, Kumar1,2,3 (AUTHOR) kumar_selvarajoo@bii.a-star.edu.sg
Publikováno v:
Briefings in Bioinformatics. Jul2024, Vol. 25 Issue 4, p1-12. 12p.
Large Language Models (LLMs) have shown versatility in various Natural Language Processing (NLP) tasks, including their potential as effective question-answering systems. However, to provide precise and relevant information in response to specific cu
Externí odkaz:
http://arxiv.org/abs/2409.03708
Autor:
Ahmed, Bilal, Qiu, Yuqing, Abueidda, Diab W., El-Sekelly, Waleed, de Soto, Borja Garcia, Abdoun, Tarek, Mobasher, Mostafa E.
Finite element modeling is a well-established tool for structural analysis, yet modeling complex structures often requires extensive pre-processing, significant analysis effort, and considerable time. This study addresses this challenge by introducin
Externí odkaz:
http://arxiv.org/abs/2409.00994
Autor:
Guetarni, Bilel, Windal, Feryal, Benhabiles, Halim, Chaibi, Mahfoud, Dubois, Romain, Leteurtre, Emmanuelle, Collard, Dominique
Predicting the response of a patient to a cancer treatment is of high interest. Nonetheless, this task is still challenging from a medical point of view due to the complexity of the interaction between the patient organism and the considered treatmen
Externí odkaz:
http://arxiv.org/abs/2408.03954