BenevolentAl Therapeutics Pipeline and Triage
Molecularly defined clinical sub-phenotypes
At BenevolentAl, we detect subgroups of patients by analysing EHR and other clinical data. By
using our genetic tooling, we infer genetic signatures for both entire disease cohorts and more
refined subsets of the patient population.
Subgroup detection
24
Cluster
Cluster 1
12
Cluster 2
Cluster 3
Cluster 4
0
100
200
300
400
500
600
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Clinical interpretation
20
5
Latent 6: 1052 samples
-010 -005
0.00
6
005
H
Time (days)
Genetic Cohorts
UK Biobank
• Bespoke cohorts
• Partner Cohorts
Genetic Summary Stats
Ma
Including:
• UK Biobank
• GWAS Catalog
1 pseudonymised or anonymised Electronic Health Records data. 2 QTL = quantitative trait loci
genetics data. 3 Whole Exome/Genome sequencing
GWAS Pipeline
Spark-enabled
engineering
framework
WES/WGS3
Pipelines
QTL datasets²
Target Prediction
Variant-to-Gene
Annotation
(Coloc, VEP, MR,
scoping AI/ML
methods currently)
Target Triage
Chromatin Features
Biomarker ID
AI
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