Feb 29, 2024

HDTC Poster | Prediction of HD-related clinical outcome progression and imaging markers using AI-based Digital Twins

Nov 13, 2023

NfS Poster | Genes regulating cytoskeleton organization identified as neuro-common drivers of blood NfL change rate and disease-specific clinical progression in AI driven Digital Twins

Oct 24, 2023

CTAD Poster | Prediction of Amyloid PET positivity from blood-based biomarkers and clinical data using AI-based Digital Twins

Aug 29, 2023

MDS Poster | Gemini Digital Twins Identified Neuro-Common and Disease-Specific Drivers of Blood NfL Change Rate

Jul 20, 2023

AAIC Poster | Alzheimer’s Disease Mechanistic Pathways were Discovered through in silico Experiments in Causal AI based Digital Twins

Jun 13, 2023

HD Therapeutics Conference Poster | Gemini Digital Twins Identified Both Common and Disease-specific Drivers of Cognitive Progression in Huntington’s and Alzheimer’s Diseases

Nov 28, 2022

CTAD Poster | Causal in silico patient models can inform Alzheimer’s disease patient identification and endpoint selection for early-stage clinical trials

Feb 06, 2019

Machine-Learning Enabled Identification of Markers of Huntington’s Disease Progression

Sep 25, 2017

Large-scale identification of clinical and genetic predictors of motor progression in patients with newly diagnosed Parkinson’s disease: a longitudinal cohort study and validation

Jun 12, 2017

A Bayesian mathematical model of motor and cognitive outcomes in Parkinson’s disease