AI-Guided Regenerative Biomaterials
Regelife develops AI-guided biomaterials and hydrogel systems to enhance the survival, function, and delivery of therapeutic cells.
Regelife sits at the intersection of biomaterials, machine learning, and regenerative medicine to build programmable environments for advanced cell therapies.
The Problem
Therapeutic cells often lose viability, function, or delivery precision because the surrounding niche is poorly controlled across development, manufacturing, and administration.
Cells encounter hostile mechanical and biochemical conditions that reduce persistence at the target site.
Without tunable support matrices, potency and phenotype drift across batches and treatment settings.
Process conditions that work in vitro often fail to map to real therapeutic environments.
Our Solution
Regelife integrates experimental biomaterials data with AI/ML models to design hydrogel systems tailored for cell viability, differentiation, retention, and delivery.
Link hydrogel composition, mechanics, and transport properties to cell outcomes.
Rank candidate material systems for specific therapeutic and manufacturing objectives.
Create a consistent platform from cell processing through implantation or injection.
Applications
Improve delivery, retention, and therapeutic efficacy by engineering supportive hydrogel environments around living cells.
Recreate tissue-relevant microenvironments that generate better in vitro models for screening and mechanistic studies.
Design matrices and process conditions that stabilize quality and improve reproducibility during scale-up.