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 portfolioView entire presentation