Clinical Research Working Group on Neuroendocrine Tumours (NET)

At our centre, we are deeply committed to continuously improving the diagnosis, treatment and long-term care of patients with neuroendocrine tumours (NET). An important pillar of our research and treatment strategy is the Clinical Research Working Group on Neuroendocrine Tumours.

This interdisciplinary group comprises endocrinologists, nuclear medicine specialists, surgeons, oncologists, gastroenterologists, radiologists and pathologists who work together to establish and maintain comprehensive data management. Our goal is to systematically collect, analyse and scientifically evaluate clinical data from patients with neuroendocrine tumours.

Our database contains information on diagnosis time, tumour type, staging, therapy course, treatment outcomes, side effects and quality of life. By tracking and evaluating this data over the long term, we gain valuable insights into disease progression, therapeutic effects and prognostic factors. Artificial intelligence (AI) is becoming increasingly important in this context. As part of our research strategy, we utilise AI systems to optimise the collection, evaluation, and interpretation of clinical data from patients with neuroendocrine tumours (NETs).

We develop and implement intelligent algorithms capable of processing complex clinical, imaging and molecular biological data. Combining machine learning with clinical expertise enables us to identify patterns in disease progression, treatment responses and prognoses that were previously unrecognised.

AI-supported systems help us to: