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Predictive analysis of the therapeutic candidates
Enabled by:
Preci aims to bridge the gap between preclinical research and clinical trials.
We aim to make drug discovery process more efficient, bringing more representative primary cell models to drug discovery.


Predictive model design
Case Study #2: Hepatocellular Carcinoma
Model screening

Co-culture of stroma
with tumor
Assay automation and scale-up

Dense spheroid

Organoid

Imaging automation
Cancer cells
16 images/well
384 wells
6144 images from
a single assay




Healthy cells

before drug

after drug
Successful decision-making platform

Oasis between safety and efficacy
Clinical Utility Analysis
Model-guided optimization
Go/No-Go decisions

Patient #1:
Male, 47 y.o. Glioma G2, Low-Grade, IDH (wt) p53+

Patient #2:
Male, 25 y.o. IDH (wt)
Glioblastoma

Patient #3:
Female, 53 y.o. Glioma G2, Low-Grade, IDH (mut) p53+
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