Results 261 to 270 of about 365,877 (337)
Lung cancer (LC) remains the leading cause of global cancer‐related death. Phytochemicals from medicinal plants are increasingly being considered as potential LC treatment agents due to their multi‐targeted action, safety, and accessibility. These have anticancer properties by regulating key molecular signaling pathways.
Md. Rezaul Islam +14 more
wiley +1 more source
Targeting rare oncogenic mutations in resectable non-small cell lung cancer: emerging perioperative strategies. [PDF]
Hao S +6 more
europepmc +1 more source
Our study presents a tumour‐informed circulating tumour DNA (ctDNA) workflow designed to enhance the detection of recurrence in head and neck cancer patients, addressing key challenges such as low ctDNA tumour fractions and tumour heterogeneity. Abstract Circulating tumour DNA (ctDNA) is a promising minimally invasive biomarker for monitoring treatment
Xiaomin Huang +8 more
wiley +1 more source
A multi-branch ensemble learning framework for detection of non-small cell lung cancer via T-cell receptor sequencing. [PDF]
Wang W +9 more
europepmc +1 more source
ABSTRACT Objective Currently, there are no blood biomarkers available for the early diagnosis of laryngeal squamous cell carcinoma (LSCC). The objective of this study was to search for potential plasma biomarkers for the diagnosis of LSCC. Methods Plasma samples were taken from patients with LSCC and healthy controls for proteomic analysis.
Shuang Teng +13 more
wiley +1 more source
Molecular and immune biomarker testing in squamous-cell lung cancer: Effect of current and future therapies and technologies [PDF]
Bradley, Jeffrey D, et al,
core +1 more source
Metabolic marker profiling of circulating tumour cells in NSCLC patients treated with osimertinib: focus on MCT1 and MCT4. [PDF]
Mangani K +6 more
europepmc +1 more source
Review on enhancing clinical decision support system using machine learning
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood +4 more
wiley +1 more source
Machine learning-driven identification of shared and disease-specific mitochondria-related genes in COPD, NSCLC, and NSCLC with COPD. [PDF]
Wu S +9 more
europepmc +1 more source

