The Future of Cancer Care
OMCAT

"One Million Cancer Treatment Months"

CANKADO initialized OMCAT

CANKADO initialized OMCAT – the worldwide largest trial in oncology based on Artificial Intelligence

Our aim is the development of an AI-based Incident Prediction Algorithm to Improve Cancer Patient Care and Patient Safety.

Core elements of OMCAT

OMCAT is an innovative clinical study for cancer patients with the aim of optimizing patient care. The prediction of negative therapy events, also known as serious adverse events, should enable early intervention and, if necessary, even the avoidance of the events in the future. To make this possible, OMCAT includes detailed documentation of these events through the digital health application (DiGA) PRO-React Onco.

After an extensive checking process by the Federal Institute for Drugs and Medical Devices (BfArM), PRO-React Onco has been approved in May 2021. Since then, prescriptions can be reimbursed by statutory health insurance.

Certifications

Clinical Evidence

Medical Device

High Data Security

DiGA Directory Admission

Core elements of OMCAT

OMCAT is an innovative clinical study for cancer patients with the aim of optimizing patient care. The prediction of negative therapy events, also known as serious adverse events, should enable early intervention and, if necessary, even the avoidance of the events in the future. To make this possible, OMCAT includes the detailed documentation of these events through the digital health application (DiGA) PRO-React Onco. This has already been comprehensively checked by the Federal Institute for Drugs and Medical Devices (BfArM). The examination covered aspects from data protection to the user-friendliness of the application.

Certifications

Clinical Evidence

A Medical Device

High Data Security

Official DiGA Application

Benefits for patients

Within OMCAT, patients benefit from:
In addition, by participating in OMCAT, patients can help improve future care and safety for cancer patients.

Benefits for healthcare professionals

In addition, by participating in OMCAT, healthcare professionals can help improve future patient care.

Medical professionals benefit from within OMCAT through

Earlier detection of serious adverse events

More efficient patient visits

Continuous and clear reports on the patient's disease progression

Situation-specific patient care

cankado web

Artificial intelligence in OMCAT

OMCAT uses innovative methods and artificial intelligence to develop a predictive algorithm to optimize cancer patient care.

This should be in the future:

Our Esteemed Steering Committee

OMCAT is advised by an international and interdisciplinary steering committee made up of experienced and renowned members.

Prof. Dr. Michael von Bergwelt

University Hospital Munich, LMU Munich, Germany

Prof. Dr. Fatima Cardoso

Champalimaud Clinical Center, Lisbon, Portugal

Prof. Dr. Nadia Harbeck

University Hospital Munich, LMU Munich, Germany

Prof. Dr. Sherko Kümmel

Clinical Center Essen (KUM), Essen, Germany

PD Dr. Peter Staib

St. Antonius Hospital, Eschweiler, Deutschland

Prof. Dr. Manfred Mitterer

Hospital Merano, Merano, Italy

Prof. Dr. Martin Nowak

Harvard University, Cambridge, MA, USA

Dr. Manfred Welslau

Oncology Aschaffenburg, Aschaffenburg, Germany

Prof. Dr. Clemens Wendtner

Clinic Schwabing, Munich, Germany

Prof. Dr. Rudolf Hess

University Hospital Mainz, Mainz, Germany

OMCAT Perimeter

Estimated Enrollment 166,000 Patients

Study Start
August 2022

Expected Study Completion December 2025

Interested to join the future of cancer care?

Artificial intelligence in OMCAT

Contact

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OMCAT

Join the future of cancer care

One Million Cancer Treatment Months