AI Research

Publications

As an AI-first company, we invent, train, and deploy generative models that create digital twins of individual patients. Today, we use digital twins to design more efficient, ethical, and reliable clinical studies. As we continuously improve our AI, we aim to reengineer medicine as a computational science.

Defining digital twins in drug discovery and development
Publisher
Unlearn
Date
March 20, 2024
Neural Boltzmann Machines
Publisher
arXiv
Date
May 15, 2023
Modeling Disease Progression in Mild Cognitive Impairment and Alzheimer's Disease with Digital Twins
Publisher
arXiv
Date
December 24, 2020
Generating Digital Twins with Multiple Sclerosis Using Probabilistic Neural Networks
Publisher
arXiv
Date
February 4, 2020
Machine learning for comprehensive forecasting of Alzheimer’s Disease progression
Publisher
arXiv
Date
September 20, 2019
A high-bias, low-variance introduction to Machine Learning for physicists
Publisher
arXiv
Date
May 27, 2019

Blog

Our perspectives

Creating Patients’ Digital Twins with Neural Boltzmann Machines for Clinical Time series
Date
January 2, 2024
Introducing Unlearn's new Digital Twin Generation Architecture
Date
May 30, 2023
Introducing Neural Boltzmann Machines
Date
March 31, 2022