[HTML][HTML] Non-small cell lung carcinoma (NSCLC): Implications on molecular pathology and advances in early diagnostics and therapeutics

H Padinharayil, J Varghese, MC John, GK Rajanikant… - Genes & …, 2023 - Elsevier
Continuous revision of the histologic and stage-wise classification of lung cancer by the
World Health Organization (WHO) provides the foundation for therapeutic advances by …

[HTML][HTML] Diagnostic value of liquid biopsy in the era of precision medicine: 10 years of clinical evidence in cancer

V Caputo, F Ciardiello, CM Della Corte… - … of targeted anti-tumor …, 2023 - ncbi.nlm.nih.gov
Liquid biopsy is a diagnostic repeatable test, which in last years has emerged as a powerful
tool for profiling cancer genomes in real-time with minimal invasiveness and tailoring …

The evolving role of liquid biopsy in lung cancer

U Malapelle, P Pisapia, F Pepe, G Russo, M Buono… - Lung Cancer, 2022 - Elsevier
Liquid biopsy has revolutionized the management of cancer patients. In particular, liquid
biopsy-based testing has proven to be highly beneficial for identifying actionable cancer …

Develo** a cancer digital twin: supervised metastases detection from consecutive structured radiology reports

KE Batch, J Yue, A Darcovich, K Lupton… - Frontiers in artificial …, 2022 - frontiersin.org
The development of digital cancer twins relies on the capture of high-resolution
representations of individual cancer patients throughout the course of their treatment. Our …

The role of circulating biomarkers in lung cancer

S Herath, H Sadeghi Rad, P Radfar, R Ladwa… - Frontiers in …, 2022 - frontiersin.org
Lung cancer is the leading cause of cancer morbidity and mortality worldwide and early
diagnosis is crucial for the management and treatment of this disease. Non-invasive means …

Deep machine learning for medical diagnosis, application to lung cancer detection: a review

HT Gayap, MA Akhloufi - BioMedInformatics, 2024 - mdpi.com
Deep learning has emerged as a powerful tool for medical image analysis and diagnosis,
demonstrating high performance on tasks such as cancer detection. This literature review …

Exosomal ncRNAs in liquid biopsies for lung cancer

MS Hussain, G Gupta, N Ghaboura, E Moglad… - Clinica chimica acta, 2024 - Elsevier
Exosomal non-coding RNAs (ncRNAs) have become essential contributors to advancing
and treating lung cancers (LCs). The development of liquid biopsies that utilize exosomal …

Towards machine learning-aided lung cancer clinical routines: Approaches and open challenges

F Silva, T Pereira, I Neves, J Morgado… - Journal of Personalized …, 2022 - mdpi.com
Advancements in the development of computer-aided decision (CAD) systems for clinical
routines provide unquestionable benefits in connecting human medical expertise with …

Liquid biopsy in lung cancer: biomarkers for the management of recurrence and metastasis

VGP Souza, A Forder, LJ Brockley… - International Journal of …, 2023 - mdpi.com
Liquid biopsies have emerged as a promising tool for the detection of metastases as well as
local and regional recurrence in lung cancer. Liquid biopsy tests involve analyzing a …

Metabolomic fingerprinting for the detection of early-stage lung cancer: from the genome to the metabolome

JF Haince, P Joubert, H Bach, R Ahmed Bux… - International Journal of …, 2022 - mdpi.com
The five-year survival rate of lung cancer patients is very low, mainly because most newly
diagnosed patients present with locally advanced or metastatic disease. Therefore, early …