UN
Paid
FEATURED
Unlearn.AI
AI platform for creating Digital Twins in clinical trials.
Uses disease-specific machine learning models to generate virtual placebo patients (Digital Twins). This accelerates clinical trials by supplementing control groups, enabling smaller, faster, and more ethical study designs.
PROS
- + Significantly reduces patient enrollment requirements (by 25-50%)
- + accelerates trial timelines and reduces overall costs
- + regulatory acceptance for pivotal studies by both EMA and FDA
- + allows for more ethical study designs by reducing the need for placebo control patients
- + enhances decision-making with real-time predictive insights and subgroup analysis.
CONS
- - Pricing is custom enterprise and not publicly disclosed (contact for pricing)
- - may require significant integration efforts with existing clinical trial infrastructures
- - performance is dependent on the quality and completeness of historical input data.
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Reducing control group size in Phase 2/3 trials
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optimizing clinical trial protocol design (endpoints
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eligibility)
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conducting real-time interim analyses to support faster decision-making
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generating external comparators for single-arm or open-label studies
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forecasting individual patient disease progression under standard of care.
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