Unlearn.AI

Description
🖼️ Tool Name:
Unlearn.AI
🔖 Tool Category:
Forecasting & Applied ML — it falls under the category of AI / digital twin platforms specialized for clinical trials, predictive modeling, and optimization of study design.
✏️ What does this tool offer?
Unlearn.AI uses machine learning to generate digital twin models of clinical trial participants based on baseline data and historical datasets. These twins simulate what would happen under control/placebo conditions, enabling more efficient and informative trial designs (e.g. fewer participants in control arms, more precision in outcome prediction).
⭐ What does the tool actually deliver based on user experience?
• Creation of digital twin forecasts for each participant to estimate future outcomes across timepoints.
• Support for smaller randomized controlled trials while preserving statistical power by complementing or reducing the control arm using twins.
• Faster trial enrollment and timeline improvements.
• Optimization of trial inclusion/exclusion criteria, endpoints, and interim analyses.
🤖 Does it include automation?
Yes — Unlearn.AI automates several advanced modeling tasks:
• Construction and calibration of digital twin models from historical clinical data.
• Generating predictions for outcomes across multiple future time points.
• Integration into trial design workflows (e.g. helping decide sample sizes, control arm substitution).
💰 Pricing Model:
Enterprise / custom pricing — not publicly disclosed in detail.
🆓 Free Plan Details:
No free plan is publicly advertised.
💳 Paid Plan Details:
Pricing and terms are negotiated per clinical trial or institutional deployment, likely depending on trial size, disease area, data complexity, and support.
🧭 Access Method:
• Web-based / cloud platform supporting interactions with trial teams.
• Partnerships with pharmaceutical companies, CROs, and regulatory bodies.
• Regulatory-qualified application (e.g. recognized by EMA for certain trial designs).
🔗 Experience Link:
https://www.unlearn.ai