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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
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