An overview of machine learning methods for monotherapy drug response prediction

F Firoozbakht, B Yousefi… - Briefings in …, 2022 - academic.oup.com
For an increasing number of preclinical samples, both detailed molecular profiles and their
responses to various drugs are becoming available. Efforts to understand, and predict, drug …

Application of oncolytic virus in tumor therapy

Z Huang, H Guo, L Lin, S Li, Y Yang… - Journal of Medical …, 2023 - Wiley Online Library
Oncolytic viruses (OVs) can selectively kill tumor cells without affecting normal cells, as well
as activate the innate and adaptive immune systems in patients. Thus, they have been …

A weighted bilinear neural collaborative filtering approach for drug repositioning

Y Meng, C Lu, M Jin, J Xu, X Zeng… - Briefings in …, 2022 - academic.oup.com
Drug repositioning is an efficient and promising strategy for traditional drug discovery and
development. Many research efforts are focused on utilizing deep-learning approaches …

Ridge regression ensemble of machine learning models applied to solar and wind forecasting in Brazil and Spain

TC Carneiro, PAC Rocha, PCM Carvalho… - Applied Energy, 2022 - Elsevier
In recent years, with the rapid development of wind and solar power generation, some
problems arise gradually and are often inherent to intermittency. Currently, one of the …

Predicting colorectal cancer tumor mutational burden from histopathological images and clinical information using multi-modal deep learning

K Huang, B Lin, J Liu, Y Liu, J Li, G Tian, J Yang - Bioinformatics, 2022 - academic.oup.com
Motivation Tumor mutational burden (TMB) is an indicator of the efficacy and prognosis of
immune checkpoint therapy in colorectal cancer (CRC). In general, patients with higher TMB …

ICSDA: a multi-modal deep learning model to predict breast cancer recurrence and metastasis risk by integrating pathological, clinical and gene expression data

Y Yao, Y Lv, L Tong, Y Liang, S Xi, B Ji… - Briefings in …, 2022 - academic.oup.com
Breast cancer patients often have recurrence and metastasis after surgery. Predicting the
risk of recurrence and metastasis for a breast cancer patient is essential for the development …

A Review of Current In Silico Methods for Repositioning Drugs and Chemical Compounds

B He, F Hou, C Ren, P Bing, X Xiao - Frontiers in Oncology, 2021 - frontiersin.org
Drug repositioning is a new way of applying the existing therapeutics to new disease
indications. Due to the exorbitant cost and high failure rate in developing new drugs, the …

Application of circulating tumor DNA as a biomarker for non-small cell lung cancer

J Yang, Y Hui, Y Zhang, M Zhang, B Ji, G Tian… - Frontiers in …, 2021 - frontiersin.org
Background Non-small cell lung cancer (NSCLC) is one of the most prevalent causes of
cancer-related death worldwide. Recently, there are many important medical advancements …

PARP inhibitor upregulates PD-L1 expression and provides a new combination therapy in pancreatic cancer

Y Wang, K Zheng, H Xiong, Y Huang, X Chen… - Frontiers in …, 2021 - frontiersin.org
Despite recent improvements in treatment modalities, pancreatic cancer remains a highly
lethal tumor with mortality rate increasing every year. Poly (ADP-ribose) polymerase (PARP) …

DGHNE: network enhancement-based method in identifying disease-causing genes through a heterogeneous biomedical network

B He, K Wang, J Xiang, P Bing, M Tang… - Briefings in …, 2022 - academic.oup.com
The identification of disease-causing genes is critical for mechanistic understanding of
disease etiology and clinical manipulation in disease prevention and treatment. Yet the …