Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile
Abstract Purpose: To critically evaluate, within a decision-centred framework, the clinical readiness of artificial-intelligence (AI) and computational prediction models used for risk stratification, treatment-response assessment, and outcome prediction in colorectal cancer (CRC), while distinguishing tumour site, intended clinical decision, assessment time point, and validation level, and identifying the gap between predictive performance and clinical impact.
Abstract Objectives Although targeted therapy has revolutionized the treatment of gastrointestinal stromal tumours (GIST), it is almost never curative in GIST, and resistance commonly develops. One potential strategy is to combine targeted therapy with immunotherapy. Materials and methods We first studied Programmed cell death 1 ligand 1 (PD‐L1) expression and tumour‐infiltrating T cells (TILs) in GIST.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
