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 …

[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 …

Competitive endogenous RNA in colorectal cancer: a systematic review

H Shuwen, Z Qing, Z Yan, Y Xi - Gene, 2018 - Elsevier
Colorectal cancer is one of the most common malignant tumours. Competitive endogenous
RNA (ceRNA) networks have been hypothesized, in which various RNAs regulate each …

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 …

Overview of methods for characterization and visualization of a protein–protein interaction network in a multi-omics integration context

V Robin, A Bodein, MP Scott-Boyer… - Frontiers in Molecular …, 2022 - frontiersin.org
At the heart of the cellular machinery through the regulation of cellular functions, protein–
protein interactions (PPIs) have a significant role. PPIs can be analyzed with network …

Molecular insight into the therapeutic potential of long non-coding RNA-associated competing endogenous RNA axes in alzheimer's disease: a systematic scoping …

H Sabaie, N Amirinejad, MR Asadi, A Jalaiei… - Frontiers in Aging …, 2021 - frontiersin.org
Alzheimer's disease (AD) is a heterogeneous degenerative brain disorder with a rising
prevalence worldwide. The two hallmarks that characterize the AD pathophysiology are …

Application of machine learning approaches for the design and study of anticancer drugs

Y Hu, Y Lu, S Wang, M Zhang, X Qu… - Current Drug Targets, 2019 - ingentaconnect.com
Background: Globally the number of cancer patients and deaths are continuing to increase
yearly, and cancer has, therefore, become one of the world's highest causes of morbidity …

Use of personalized biomarkers in metastatic colorectal cancer and the impact of AI

SR Volovat, I Augustin, D Zob, D Boboc, F Amurariti… - Cancers, 2022 - mdpi.com
Simple Summary Colorectal cancer is one of the most frequent cancers worldwide, with a
high incidence and mortality. Although many treatment options are available for metastatic …

Literature review of baseline information to support the risk assessment of RNA i‐based GM plants

J Paces, M Nic, T Novotny… - EFSA Supporting …, 2017 - Wiley Online Library
This report is the outcome of an EFSA procurement aiming at investigating and summarising
the state of knowledge on (I) the mode-of-action of dsRNA and miRNA pathways,(II) the …