[HTML][HTML] Non-small cell lung carcinoma (NSCLC): Implications on molecular pathology and advances in early diagnostics and therapeutics
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 …
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 …
tool for profiling cancer genomes in real-time with minimal invasiveness and tailoring …
The evolving role of liquid biopsy in lung cancer
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 …
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 …
representations of individual cancer patients throughout the course of their treatment. Our …
The role of circulating biomarkers in lung cancer
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 …
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
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 …
demonstrating high performance on tasks such as cancer detection. This literature review …
Exosomal ncRNAs in liquid biopsies for lung cancer
Exosomal non-coding RNAs (ncRNAs) have become essential contributors to advancing
and treating lung cancers (LCs). The development of liquid biopsies that utilize exosomal …
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
Advancements in the development of computer-aided decision (CAD) systems for clinical
routines provide unquestionable benefits in connecting human medical expertise with …
routines provide unquestionable benefits in connecting human medical expertise with …
Liquid biopsy in lung cancer: biomarkers for the management of recurrence and metastasis
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 …
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
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 …
diagnosed patients present with locally advanced or metastatic disease. Therefore, early …