AI Target Discovery
Project Overview
Identifying therapeutic targets from patient data is often slow and uncertain, especially when disease biology is complex. Fine-tuned transformer models trained on disease-specific transcriptomics can predict how perturbing each gene would shift cells toward a healthier state. This enables rapid, data-driven target discovery and prioritization for downstream validation.
Services Provided
- Fine-tuning of transformer architectures (e.g. Geneformer, scFoundation) on disease-specific datasets.
- Development of pipelines for a transcriptome-wide perturbation analysis using the fine-tuned models.
- Provide interpretable model outputs that explain which genes, pathways, or patient-specific features drive the predicted targets.
Deliverables & Benefits
- Ranked lists of potential therapeutic targets.
- Target prioritization through integration with public knowledge bases.
- Expert-level advice for taking the next steps in wet-lab validation.
Why Choose Lucid Analytics?
With a deep understanding of life sciences and cutting-edge AI expertise, Lucid Analytics supports clients in accelerating innovation and driving impactful R&D outcomes.
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Interested in how we can help with your next project? Contact us today to explore how data can drive your R&D success
