Microfluidics for Profiling miRNA Biomarker Panels in AI-Assisted Cancer Diagnosis and Prognosis

S Muthamilselvan… - … in Cancer Research …, 2023 - journals.sagepub.com
Early detection of cancers and their precise subtyping are essential to patient stratification
and effective cancer management. Data-driven identification of expression biomarkers …

The role of MicroRNAs in breast cancer and the challenges of their clinical application

JP Muñoz, P Pérez-Moreno, Y Pérez, GM Calaf - Diagnostics, 2023 - mdpi.com
MicroRNAs (miRNAs) constitute a subclass of non-coding RNAs that exert substantial
influence on gene-expression regulation. Their tightly controlled expression plays a pivotal …

[HTML][HTML] AI and Deep Learning in Understanding the Etiology and Pathogenesis of Cancers

P Nemati, A Khalaji, Y Rajabloo, MH Kazemi, S Nouri… - Kindle, 2024 - preferpub.org
Artificial intelligence (AI) and deep learning have emerged as powerful tools in
understanding the etiology and pathogenesis of cancers. These technologies help uncover …

[HTML][HTML] Ratiometric fluorescent detection of exosomal piRNA-823 based on Au NCs/UiO-66-NH2 and target-triggered rolling circle amplification

Y Tong, B Guan, Z Sun, X Dong, Y Chen, Y Li, Y Jiang… - Talanta, 2023 - Elsevier
Abstract piR-823 is a newly discovered colorectal cancer marker with high diagnostic
efficacy. However, the current quantification methods have complicated operations and high …

An integrated care approach to improve well-being in breast cancer patients

A Fabi, A Rossi, E Mocini, L Cardinali… - Current Oncology …, 2024 - Springer
Background Breast cancer (BC) treatment has recently been revolutionized by the
introduction of newer targeted agents, that helped tailoring therapies around the single …

Impedimetric monitoring of microRNA-200c-3p using hydroxyapatite nanoparticles modified pencil graphite electrodes

G Congur, A Erdem - Journal of Materials Science, 2024 - Springer
It is important to monitor miRNA-200c-3p as it can potentially serve as an important
biomarker for respiratory diseases including COVID-19 and cancer. Despite the importance …

Liquid biopsy using non-coding RNAs and extracellular vesicles for breast cancer management

K Hashimoto, T Ochiya, A Shimomura - Breast Cancer, 2024 - Springer
This article examines liquid biopsy using non-coding RNAs and extracellular vesicles in
detail. Liquid biopsy is emerging as a prominent non-invasive diagnostic tool in the …

Development of a diagnostic model for pancreatic ductal adenocarcinoma using machine learning and blood-based miRNAs

JY Tang, VL Kouznetsova, S Kesari, IF Tsigelny - Oncology, 2024 - karger.com
Introduction: Pancreatic ductal adenocarcinoma (PDAC) has the lowest survival rate among
all major cancers due to a lack of symptoms in early stages, early detection tools, and …

Machine Learning Classification Algorithms for Accurate Breast Cancer Diagnosis

MS Alzboon, S Qawasmeh, M Alqaraleh… - … on Emerging Smart …, 2023 - ieeexplore.ieee.org
The introduction of algorithms based on machine learning (ML) has revolutionized computer
science by allowing machines to learn without explicit programming. These algorithms …

Quantum Computing and Artificial Intelligence for MicroRNAs: MicroRNA Quantum Code with AI

YR Fujii - The MicroRNA 2000 Transformer: Quantum Computing …, 2023 - Springer
Abstract “The MicroRNA Quantum Code Book” was published in 2023. This proved the
following words.“Understanding humans with quantum”=“Humans live with quantum …