A systematic review on biomarker identification for cancer diagnosis and prognosis in multi-omics: from computational needs to machine learning and deep learning

A Dhillon, A Singh, VK Bhalla - Archives of Computational Methods in …, 2023 - Springer
Biomarkers, also known as biological markers, are substances like transcripts,
deoxyribonucleic acid (DNA), genes, proteins, and metabolites that indicate whether a …

[HTML][HTML] Artificial intelligence assists precision medicine in cancer treatment

J Liao, X Li, Y Gan, S Han, P Rong, W Wang… - Frontiers in …, 2023 - frontiersin.org
Cancer is a major medical problem worldwide. Due to its high heterogeneity, the use of the
same drugs or surgical methods in patients with the same tumor may have different curative …

Diagnostic classification of cancers using extreme gradient boosting algorithm and multi-omics data

B Ma, F Meng, G Yan, H Yan, B Chai, F Song - Computers in biology and …, 2020 - Elsevier
Accurate diagnostic classification of cancers can greatly help physicians to choose
surveillance and treatment strategies for patients. Following the explosive growth of huge …

MAGE: automatic diagnosis of autism spectrum disorders using multi-atlas graph convolutional networks and ensemble learning

Y Wang, J Liu, Y Xiang, J Wang, Q Chen, J Chong - Neurocomputing, 2022 - Elsevier
Currently, it is still a great challenge in clinical practice to accurately diagnose autism
spectrum disorder (ASD). To address this challenge, in this study we propose a method for …

An update on the prognostic and predictive serum biomarkers in metastatic prostate cancer

H Saxby, C Mikropoulos, S Boussios - Diagnostics, 2020 - mdpi.com
Serum biomarkers are molecules produced by normal and abnormal cells. Prostate specific
antigen (PSA) is an example of a serum biomarker used widely in the diagnosis and …

Identification of blood protein biomarkers associated with prostate cancer risk using genetic prediction models: analysis of over 140,000 subjects

H Zhong, J Zhu, S Liu, DH Ghoneim… - Human molecular …, 2023 - academic.oup.com
Prostate cancer (PCa) brings huge public health burden in men. A growing number of
conventional observational studies report associations of multiple circulating proteins with …

An integrated approach to biomarker discovery reveals gene signatures highly predictive of cancer progression

KL Sheng, L Kang, KJ Pridham, LE Dunkenberger… - Scientific reports, 2020 - nature.com
Current cancer biomarkers present variability in their predictive power and demonstrate
limited clinical efficacy, possibly due to the lack of functional relevance of biomarker genes …

Prediction of tumor location in prostate cancer tissue using a machine learning system on gene expression data

O Hamzeh, A Alkhateeb, J Zheng, S Kandalam… - BMC …, 2020 - Springer
Background Finding the tumor location in the prostate is an essential pathological step for
prostate cancer diagnosis and treatment. The location of the tumor–the laterality–can be …

Proteomic analysis of prostate cancer FFPE samples reveals markers of disease progression and aggressiveness

V Lygirou, K Fasoulakis, R Stroggilos, M Makridakis… - Cancers, 2022 - mdpi.com
Simple Summary Prostate cancer (PCa) is the second most frequently diagnosed type of
cancer in men. The lack of tools for accurate risk assessment is causing over-treatment of …

A hierarchical machine learning model to discover gleason grade-specific biomarkers in prostate cancer

O Hamzeh, A Alkhateeb, JZ Zheng, S Kandalam… - Diagnostics, 2019 - mdpi.com
(1) Background: One of the most common cancers that affect North American men and men
worldwide is prostate cancer. The Gleason score is a pathological grading system to …