Most cancer patients do not die from the primary tumor but from its metastasis. Current in
vitro and in vivo cancer models are incapable of satisfactorily predicting the outcome of …

In silico cancer models have demonstrated great potential as a tool to improve drug design,
optimise the delivery of drugs to target sites in the host tissue and, hence, improve …

As the major bibenzyl compound extracted from Chinese traditional medicine Dendrobium
chrysotoxum Lindl., erianin possesses plenty of biological properties including antibacterial …

Aim The negative impact of tumour hypoxia on cancer treatment outcome has been long-
known, yet there has been little success combating it. This paper investigates the potential …

Background Lung cancer is a fatal disease and a serious health problem worldwide.
Patients are usually diagnosed at an advanced stage, and the effectiveness of …

The usefulness of mechanistic models to disentangle complex multiscale cancer processes,
such as treatment response, has been widely acknowledged. However, a major barrier for …

We developed a computational platform including machine learning and a mechanistic
mathematical model to find the optimal protocol for administration of platinum-doublet …

Rapid advancements in high-throughput omics technologies and experimental protocols
have led to the generation of vast amounts of scale-specific biomolecular data on cancer …

The massive amount of human biological, imaging, and clinical data produced by multiple
and diverse sources necessitates integrative modeling approaches able to summarize all …

目的: 预测通关藤(marsdeniatenacissima, MT) 治疗非小细胞肺癌(non small cell
lungcancer, NSCLC) 的有效成分及分子作用机制. 方法: 通过国内外文献报道, 获取MT …