PUBLICATIONs

THE LATEST PUBLICATIONS

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

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

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

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

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

AACR Poster | Infer Cancer Cell Gene Dependency in Multiple Myeloma Using Causal AI in-silico Patient Model

ASH Poster | Causal AI in silico Patient Model Identifies Minichromosome Maintenance (MCM) Family Genes as Novel Predictors of Overall Survival in Multiple Myeloma

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

ICPE22 | Predictors of Treatment Changes in Patients With Rheumatoid Arthritis Using Machine Learning

Bayesian Machine Learning on CALGB/SWOG 80405 (Alliance) and PEAK Data Identifies Heterogeneous Landscape of Clinical Predictors of Overall Survival (OS) in Different Populations of Metastatic Colorectal Cancer (mCRC)