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Improving the accuracy of prediction models for small datasets of Cytochrome P450 inhibition with deep learning. [PDF]

J Cheminform
Permadi EE, Watanabe R, Mizuguchi K.
europepmc   +1 more source

MET and NF2 alterations confer primary and early resistance to first‐line alectinib treatment in ALK‐positive non‐small‐cell lung cancer

Molecular Oncology, EarlyView.
Alectinib resistance in ALK+ NSCLC depends on treatment sequence and EML4‐ALK variants. Variant 1 exhibited off‐target resistance after first‐line treatment, while variant 3 and later lines favored on‐target mutations. Early resistance involved off‐target alterations, like MET and NF2, while on‐target mutations emerged with prolonged therapy.
Jie Hu, Ning Ding, Xiaobo Xu, Yedan Chen, Yong Zhang, Jingwen Liu, Jiebai Zhou, Hairong Bao, Donghui Zhang, Yijun Song, Yang Shao, Yuanlin Song   +11 more
wiley   +1 more source

Collaborative engagement with vector control stakeholders is key to enhance the utility of vector-borne disease models. [PDF]

Parasit Vectors
Brown HE, Wrench E, Wolfe K, Moore TC, Tangena JA, Sedda L.   +5 more
europepmc   +1 more source

Leveraging multi-source data and teleconnection indices for enhanced runoff prediction using coupled deep learning models. [PDF]

Sci Rep
Li J, Ai P, Xiong C, Song Y.
europepmc   +1 more source

An enhanced framework for knowledge graph embedding based on negative sample analogical reasoning. [PDF]

Sci Rep
Li H, Tao Y, Chen D, Tang Y, Wang J, Xue L.   +5 more
europepmc   +1 more source

Mathematical Contact Tracing Models for the COVID-19 Pandemic: A Systematic Review of the Literature. [PDF]

Healthcare (Basel)
Ocagli H, Brigiari G, Marcolin E, Mongillo M, Tonon M, Da Re F, Gentili D, Michieletto F, Russo F, Gregori D.   +9 more
europepmc   +1 more source

Multivariate linear time-series modeling and prediction of cerebral physiologic signals: review of statistical models and implications for human signal analytics. [PDF]

Front Netw Physiol
Vakitbilir N, Sainbhi AS, Islam A, Gomez A, Stein KY, Froese L, Bergmann T, McClarty D, Raj R, Zeiler FA.   +9 more
europepmc   +1 more source

GEMsembler: cross-tool structural comparison and ensemble modeling improve metabolic model performance

Matveishina EK, Bartmanski BJ, Benito-Vaquerizo S, Zimmermann-Kogadeeva M.   +3 more
europepmc   +1 more source

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Models and Modeling

2020
The terms model and modeling are everyday terms. In science, however, different meanings are ascribed to them, especially when they are viewed from the two perspectives of mathematics and physics. In this chapter, we will examine whether and how these terms are defined in the two disciplines and what significance the use of models and modeling has in ...
Kathrin Holten, Henrik Bernshausen, Cam Tho Chu, Ngoc Chat Tran   +3 more
openaire   +4 more sources