BenevolentAI Investor Presentation Deck slide image

BenevolentAI Investor Presentation Deck

Target Identification: finding the underlying cause of the disease 2. Biological Question Definition Using our in-house tools and algorithms 1. Building Knowledge We curate our Knowledge to improve our representations with additional databases, literature, 'omics, patient data, and genetics relevant to the disease of interest we explore the data and define the input to our predictive models Disease Target Endpoint: What we are measuring in the assay Can we treat T2DM by reversing insulin resistance in adipocytes by reducing oxidative stress? Sign Mechanism Cell type 3. Target Prediction Our Al algorithms, data queries, and endotype-driven workflows identify targets that are likely to address the biological question. Graph Models Transcriptomics Models Precision Medicine Genetics Precision Medicine 'Omics Data queries Large Language Model Aggregation Prioritization Targets 4. Target Assessment and Validation Our tools aggregate and present the necessary information to allow expert drug discoverers to triage and assess targets before taking them into the portfolio
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