Ship · Unlearn.AI
Streamlined QRL-201 randomized control trial efficiency via digital twins (Nov 2024 Summit
QurAlis streamlined QRL-201 randomized control trial efficiency via digital twins (Nov 2024 Summit. Named alongside Unlearn.AI in Unlearn.AI’s own account of this story: MMIT and digital twins.
Unlearn.AI builds AI-generated 'digital twins' of clinical-trial patients, formally qualified by the EMA and reviewed positively by the FDA for reducing control-arm size in real trials.
This sits in the Ship stage of the AI use-case lifecycle: Named examples from the vendors pharma teams use to get an AI system live inside a real, regulated production workflow — validation, CRM, safety and clinical systems of record.
Source
Published by Unlearn.AI on its own site — read the original case study on unlearn.ai ↗
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- 04Accelerated Alzheimer's trials using generative ML disease-progression forecasts (AAIC 2024 poster
- 05Evaluated digital-twins methodology using completed Alzheimer's Phase 2 data (AAIC 2022 presentation
- 06Used digital twins in a Phase 2a trial to predict Alzheimer's progression (AD/PD Boston 2025