Results 211 to 220 of about 206,195 (300)
Abstract Patients with recurrent high‐grade glioma (rHGG) have a poor prognosis with median progression‐free survival (PFS) of <7 months. Responses to treatment are heterogenous, suggesting a clinical need for prognostic models. Bayesian data analysis can exploit individual patient follow‐up imaging studies to adaptively predict the risk of progression.
Daniel J. Glazar +5 more
wiley +1 more source
Radiation-Induced Fibrosis (RIF) in Head and Neck Squamous Cell Carcinoma (HNSCC): A Review. [PDF]
Muehlebach ME +6 more
europepmc +1 more source
Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma
ABSTRACT We employed a mechanistic learning approach, integrating on‐treatment tumor kinetics (TK) modeling with various machine learning (ML) models to address the challenge of predicting post‐progression survival (PPS)—the duration from the time of documented disease progression to death—and overall survival (OS) in Head and Neck Squamous Cell ...
Kevin Atsou +4 more
wiley +1 more source
Cancer-Associated Fibroblast Heterogeneity Shapes Prognosis and Immune Landscapes in Head and Neck Squamous Cell Carcinoma. [PDF]
Takahashi H +5 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
CricRNA in head and neck squamous cell carcinoma: biological functions and clinical prospects. [PDF]
Li A, Dong Z, Zhang C.
europepmc +1 more source
Patients with stage III colorectal cancer exhibit substantial heterogeneity in clinical outcomes despite receiving standardized treatments, which complicates accurate risk stratification. In this study, we integrated features derived from routine histopathological slides and preoperative computed tomography scans using machine learning to develop a ...
Danyi Li +20 more
wiley +1 more source

