Cancer is so hard to defeat because there is no single cure for it. The thousands of molecularly diverse tumors each require drastically different treatments. The pharmaceutical industry has millions of potential drug molecules, but to find the right one for a specific cancer type, a company needs to understand how to stop a disease that can assume thousands of different forms at any time. The process they currently use is decades old, and forces researchers to run experiment after experiment, trial after trial with an almost 99% failure rate.
Turbine takes trial and error out of the laboratories, and moves it onto our servers that can run millions of experiments in a matter of minutes. We've built an artificial intelligence that models how cancer works on the molecular level, and tests millions of potential drugs on it each day. This way, we can get new cancer drugs to patients years faster than pharma’s current solutions. Turbine is the way to discover drugs in the 21st Century, replacing tools and processes in use for over 40 years.
We’re saving lives by helping pharma and researchers understand and tackle cancer.
Born from a marriage of bioinformatics, network medicine and artificial intelligence at Semmelweis University, Turbine was founded to start a new paradigm in cancer research. We’re bringing together machine learning experts, bioinformaticians, medical doctors and programmers to give pharma, clinicians and patients a fighting chance.
Prior to joining Turbine, Szabolcs has launched Tresorit, the world’s leading cloud security startup, and helped develop Webicina, a platform that helps chronically ill patients manage their conditions. He brings extensive product management and marketing experience to Turbine, and is responsible for building a successful business from its disruptive technology.
Dániel Veres, MD
Dániel is the creator of the first compartmentalized protein-protein interaction database, with years of experience building computational models in order to understand the behaviour of human cells. As a medical doctor, Daniel translates computational results into clinical interpretations, indispensable to design innovative and relevant treatments to defeat cancer.
Kristóf Szalay, PhD
Kristóf is the inventor of Turbine’s treatment designer AI. An expert in artificial intelligence with a strong background in biology, he started his research to combat aging by understanding the inner workings of cells. After realizing that personalized care in oncology needs a platform to design effective therapies based on molecular data, he repurposed Turbine to fight cancer instead.
As the creator of Turbine’s Simulated Cell, Iván is an expert in network medicine and modeling protein-protein interactions. His training as a medical doctor provide a deep insight into hematology, oncology and immunology that ensure Turbine’s predictions are biologically accurate.
Péter Csermely, D.Sc.
As a co-founder of Turbine, Peter supports the team with his decades-long experience in biochemical networks, drug design and building of biotech startups. His accomplishments include Fogarty, Howard Hughes, Templeton and Rockefeller Scholarships, as well as membership of the Hungarian Academy. As president of the European Council for High Ability, he has access to a large network of talented people to build and expand Turbine.
Interested in curing cancer with artificial intelligence?
We are always looking for computational biologists, bioinformaticians,
developers (front & back-end) and oncologists to join our growing team.
Let us know at email@example.com