OncoDecipher | Tamir Tuller
Decoding the hidden causes of cancer
Precision oncology relies on identifying genetic changes that drive cancer and can serve as targets for treatment. However, many disease-associated genetic variants do not directly alter the protein sequence, making their biological effects difficult to identify. As a result, many patients may not qualify for existing biomarker-driven treatments even when relevant genetic changes are present.
Developed from research led by Prof. Tamir Tuller, OncoDecipher uses artificial intelligence, computational biology, and molecular validation to uncover these previously hidden genetic biomarkers. The platform analyzes clinical and genetic patient data with state-of-the-art computational and bioinformatic tools, identifies novel variants, predicts their biological and therapeutic effects, and validates promising candidates. By expanding the range of genetic changes that can be recognized as cancer biomarkers, OncoDecipher aims to open new possibilities for personalized treatment and extend precision oncology to patients who currently have limited treatment options.