How are we changing clinical trials?

How are we changing clinical trials?

How are we changing clinical trials?

Blog

Embracing Innovation to Move Forward

At Unlearn, our goal is to use the data available from historical trials, to generate new evidence to inform and advance research.
Publications

Digital Control Subjects for Alzheimer's Disease Clinical Trials (AMIA 2019)

Blog

Reflections on AAIC 2019: Community, Cause, and Challenges

Blog

Learning from Data Across the Alzheimer's Disease Spectrum

At AAIC, I watched the talks with this question in mind: how would we build a model of disease progression in the early stages of AD?
While treating the patient is the utmost priority, we need to understand that Alzheimer’s impacts every part of a person’s life and to address all of those parts, both effectively and compassionately.
The ability to simulate dozens of clinical characteristics simultaneously is a powerful tool to model disease progression. Such models have useful applications for clinical trials, from analyzing cont

Machine learning for comprehensive forecasting of Alzheimer's Disease progression

Publications

Generating Digital Twins with Multiple Sclerosis Using Probabilistic Neural Networks

Using a dataset of subjects enrolled in the placebo arms of MS clinical trials, we trained a Conditional Restricted Boltzmann Machine to generate digital subjects.
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