CELLAI

Initiative at a glance

Cancer treatments have been improving for decades. Researchers are not only developing treatments that are more effective, but they are also highly focused on reducing their side effects. Any problem that affects your healthy tissue and organs and arises as a result of cancer treatment is called a cancer treatment side effect. Side effects can vary from person to person and from treatment to treatment to the extent that two people receiving the same treatment may experience very different side effects. Some experience side effects that arise during treatment and improve over time, which is the most common scenario. But some people experience severe side effects that last for months or even years after treatment is completed. Treatment of side effects is an important part of cancer care and in improving quality of life.

Avastin is a tumor starving (anti-androgenic) therapy developed by ROCHE, the drug is designed to work with chemotherapy to prevent tumor growth. Globally over 2 million patients have been treated with Avastin. Unfortunately, Avastin also comes along with serious and sometimes even fatal adverse reactions, including gastrointestinal perforation, non-GI fistula, arterial thrombolytic events, hemorrhage and renal injuries.

The most powerful tool to avoid side effects is to be able to predict the onset of the side effects. Monitoring of the entire immune system, including the human micro-biome gives rise to massive diagnostic capacity. Occurring side effects are a direct link between the immune system and damage resulting from cancer treatment. By analyzing and understanding the immune system reaction we can predict the onset of side effects and change or stop treatment.

Our Cellai initiative has the technology, expertise, and practical knowledge to create a transnational platform for the entire immune system repertoire (BCR, TCR, HLA and micro-biome repertoire). Artificial intelligence will be used to analyze data and leverage the diagnostic ability of our immune system to predict the onset of changes resulting.