[HTML][HTML] Machine learning in the prediction of cancer therapy
Resistance to therapy remains a major cause of cancer treatment failures, resulting in many
cancer-related deaths. Resistance can occur at any time during the treatment, even at the …
cancer-related deaths. Resistance can occur at any time during the treatment, even at the …
Precision medicine and driver mutations: computational methods, functional assays and conformational principles for interpreting cancer drivers
R Nussinov, H Jang, CJ Tsai… - PLoS computational …, 2019 - journals.plos.org
At the root of the so-called precision medicine or precision oncology, which is our focus
here, is the hypothesis that cancer treatment would be considerably better if therapies were …
here, is the hypothesis that cancer treatment would be considerably better if therapies were …
[HTML][HTML] Conserved pan-cancer microenvironment subtypes predict response to immunotherapy
The clinical use of molecular targeted therapy is rapidly evolving but has primarily focused
on genomic alterations. Transcriptomic analysis offers an opportunity to dissect the …
on genomic alterations. Transcriptomic analysis offers an opportunity to dissect the …
DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data
Multi-omics data are good resources for prognosis and survival prediction; however, these
are difficult to integrate computationally. We introduce DeepProg, a novel ensemble …
are difficult to integrate computationally. We introduce DeepProg, a novel ensemble …
[HTML][HTML] Cancer modeling: From mechanistic to data-driven approaches, and from fundamental insights to clinical applications
Cancer is still one of the major causes of death worldwide. Even if its comprehension is
improving continuously, the complexity and heterogeneity of this group of diseases …
improving continuously, the complexity and heterogeneity of this group of diseases …
Application of non-negative matrix factorization in oncology: one approach for establishing precision medicine
R Hamamoto, K Takasawa, H Machino… - Briefings in …, 2022 - academic.oup.com
The increase in the expectations of artificial intelligence (AI) technology has led to machine
learning technology being actively used in the medical field. Non-negative matrix …
learning technology being actively used in the medical field. Non-negative matrix …
[HTML][HTML] A scalable high-throughput targeted next-generation sequencing assay for comprehensive genomic profiling of solid tumors
Timely and accurate identification of molecular alterations in solid tumors is essential for
proper management of patients with advanced cancers. This has created a need for rapid …
proper management of patients with advanced cancers. This has created a need for rapid …
5-Methylcytosine RNA methyltransferases-related long non-coding RNA to develop and validate biochemical recurrence signature in prostate cancer
K Wang, W Zhong, Z Long, Y Guo, C Zhong… - Frontiers in molecular …, 2021 - frontiersin.org
The effects of 5-methylcytosine in RNA (m5C) in various human cancers have been
increasingly studied recently; however, the m5C regulator signature in prostate cancer …
increasingly studied recently; however, the m5C regulator signature in prostate cancer …
Personalized clinical decision making through implementation of a molecular tumor board: a German single-center experience
Purpose Dramatic advances in our understanding of the molecular pathophysiology of
cancer, along with a rapidly expanding portfolio of molecular targeted drugs, have led to a …
cancer, along with a rapidly expanding portfolio of molecular targeted drugs, have led to a …
Precision medicine informatics: principles, prospects, and challenges
Precision medicine (PM) is an emerging approach that appears with the impression of
changing the existing paradigm of medical practice. Recent advances in technological …
changing the existing paradigm of medical practice. Recent advances in technological …