Our team behind the scenes at SXSW | Target Identification, Literature Knowledge Inference


Watch our team investigate the target identification process for GBM using machine learning methods. Their aim was to identify genes or proteins involved in the development of glioblastoma stem cells - a type of cell at the origin of GBM that are resistant to the current treatments.

After creating a knowledge base around the disease (see episode 2) our team created a specific workflow around literature based data. By applying AI models, each interrogating a different component of the data sets, we can generate a list of possible hypotheses for genes involved in GBM.

Training machine learning to do what we consider as tedious yet critical tasks is important. It frees up scientists to focus their energy on exploring hypotheses which we know are relevant.

Watch our team discuss the unique way we approach target identification at BenevolentAI.


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Patient Stratification in Target ID, OMICS data