SOURCE-LINKED INTELLIGENCE

EARLY COLORECTAL CANCER: PATIENT-TARGETED AND ORGAN PRESERVING TREATMENT ECOPOP

CORDIS · observation · Publication date unknown

ials, and b) to develop and test criteria in this patient population to primarily identify high-risk lesions based on novel biomarkers, endoscopic imaging, and other clinical criteria, also within an artificial intelligence-guided treatment algorithm. We propose to provide state-of-the-art assessment of new, sustainable, less invasive treatment modalities for early-stage CRC and determine patient preferences around these therapies. We will perform large, international head-to-head randomized clinical trials. These trials will allow carbon cost effectiveness analyses, biomarker research and development of clinical practice guidelines to carve out the next-generation best clinical practice for patients with early-stage CRC. Our proposal aims at less invasive, sustainable organ-preserving therapies maintaining high oncological efficacy and helping physicians and patients to perform individual shared decision-making. colorectal cancer; endoscopy; surgery; quality of life

Read original source ↗ Open in workspace

recordType

award

status

SIGNED

region

EU

value

6999931.25

unit

EUR