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Lunai Bioworks launches AI-driven Alzheimer’s preclinical program, boosting early detection accuracy by 35% using multi-modal data.
Lunai Bioworks has launched a preclinical program for Alzheimer’s disease using its Augusta™ AI platform, which combines MRI, genetic, and metabolic data to boost diagnostic accuracy by up to 35% compared to MRI alone.
Validated on the ADNI database, the platform uses distributed machine learning and cloud-based infrastructure to analyze multi-modal data, enabling earlier detection and scalable, real-time processing.
The company secured its first commercial contract to identify early Alzheimer’s biomarkers and is collaborating with research institutions and pharmaceutical firms.
The approach builds on prior work in Parkinson’s and reflects a broader strategy of using integrated AI models to address complex neurodegenerative diseases.
Lunai Bioworks lanza un programa preclínico de Alzheimer impulsado por IA, aumentando la precisión de la detección temprana en un 35% utilizando datos multimodales.