Artificial intelligence in colorectal cancer screening, diagnosis and treatment. A new era

A Mitsala, C Tsalikidis, M Pitiakoudis, C Simopoulos… - Current …, 2021 - mdpi.com
The development of artificial intelligence (AI) algorithms has permeated the medical field
with great success. The widespread use of AI technology in diagnosing and treating several …

Advancements in oncology with artificial intelligence—a review article

N Vobugari, V Raja, U Sethi, K Gandhi, K Raja… - Cancers, 2022 - mdpi.com
Simple Summary With the advancement of artificial intelligence, including machine learning,
the field of oncology has seen promising results in cancer detection and classification …

Neural inductive matrix completion with graph convolutional networks for miRNA-disease association prediction

J Li, S Zhang, T Liu, C Ning, Z Zhang, W Zhou - Bioinformatics, 2020 - academic.oup.com
Motivation Predicting the association between microRNAs (miRNAs) and diseases plays an
import role in identifying human disease-related miRNAs. As identification of miRNA …

[HTML][HTML] Application of artificial intelligence to the diagnosis and therapy of colorectal cancer

Y Wang, X He, H Nie, J Zhou, P Cao… - American journal of …, 2020 - ncbi.nlm.nih.gov
Artificial intelligence (AI) is a relatively new branch of computer science involving many
disciplines and technologies, including robotics, speech recognition, natural language and …

Graph convolutional autoencoder and generative adversarial network-based method for predicting drug-target interactions

C Sun, P Xuan, T Zhang, Y Ye - IEEE/ACM transactions on …, 2020 - ieeexplore.ieee.org
The computational prediction of novel drug-target interactions (DTIs) may effectively speed
up the process of drug repositioning and reduce its costs. Most previous methods integrated …

MHDMF: prediction of miRNA–disease associations based on deep matrix factorization with multi-source graph convolutional network

N Ai, Y Liang, HL Yuan, D Ou-Yang, XY Liu… - Computers in Biology …, 2022 - Elsevier
A growing number of works have proved that microRNAs (miRNAs) are a crucial biomarker
in diverse bioprocesses affecting various diseases. As a good complement to high-cost wet …

Liquid biopsy and artificial intelligence as tools to detect signatures of colorectal malignancies: a modern approach in patient's stratification

O Ginghina, A Hudita, M Zamfir, A Spanu… - Frontiers in …, 2022 - frontiersin.org
Colorectal cancer (CRC) is the second most frequently diagnosed type of cancer and a
major worldwide public health concern. Despite the global efforts in the development of …

A novel miRNA-disease association prediction model using dual random walk with restart and space projection federated method

A Li, Y Deng, Y Tan, M Chen - PLoS One, 2021 - journals.plos.org
A large number of studies have shown that the variation and disorder of miRNAs are
important causes of diseases. The recognition of disease-related miRNAs has become an …

GCSENet: A GCN, CNN and SENet ensemble model for microRNA-disease association prediction

Z Li, K Jiang, S Qin, Y Zhong… - PLOS Computational …, 2021 - journals.plos.org
Recently, an increasing number of studies have demonstrated that miRNAs are involved in
human diseases, indicating that miRNAs might be a potential pathogenic factor for various …

[HTML][HTML] The miR-93-3p/ZFP36L1/ZFX axis regulates keratinocyte proliferation and migration during skin wound healing

X Feng, S Zhou, W Cai, J Guo - Molecular Therapy-Nucleic Acids, 2021 - cell.com
Keratinocyte proliferation and migration are crucial steps during skin wound healing. The
functional role of microRNAs (miRs) remains relatively unknown during this process. miR-93 …