AI, machine learning offer hope for speeding Alzheimer's development

"Unlearn.AI Inc., of San Francisco, has developed a process to create digital twins of Alzheimer's disease patients in the active-treatment group that predict how they would perform if they weren't given drug. The company's Digenesis process uses historical clinical trial datasets from patients who participated in the control arms of clinical trials to create the twins who are a mash-up of multiple patients in the studies."

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Using AI-based Prognostic Models to Design Efficient, Unbiased Clinical Trials

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Part 3: Innovation in Clinical Research: AI-based Drug Development Tools and the Regulatory Landscape‍

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Part 2: Faster, More Efficient Trials: Novel Trial Designs using Digital Twins‍

Watch an overview of specific use cases for Digital Twins and learn how novel trial designs with Digital Twins enable smaller trials that maintain their power.
Watch a panel discussion on the regulatory landscape where experts share perspectives on the future of AI-based drug development tools like Digital Twins.
Statistical principles of clinical trials with Digital Twins