Personalized medicine is an emerging practice that uses an individual’s molecular and genetic profile to guide treatment decisions for each patient.
Computational systems biology is a scientific field, where an extremely large amount of biological data is integrated and interpreted in a computer readable form to understand causes and effects of drugs and diseases. Despite recent advances in the field, current methods cannot provide personalized treatment suggestions yet. The Cytocast team has made a breakthrough in the use of computational technique to turn these approaches to a new level and make personalized medicine available for everyone.
We created the largest scale human cell simulator that can predict the effects of a treatment on your body from your own molecular profile.
Our technology is still in the testing phase, but our goal is to make our tool available for all patients by 2024.
As a first test of our technology, we are focusing on a disease called Fibrosis. Fibrosis is a life-threatening disease that occurs when tissues become damaged and scarred. This thickened, stiff tissue makes it difficult for affected organs to work properly. As with many other diseases, treatments of fibrosis can lead to different results in each individual. This makes it difficult for physicians to decide the best treatment for each patient.
We are working with our clinical and academic partners to solve this problem and make sure that every patient affected by fibrosis will receive the best personalised treatment.
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