Engram-Edge builds advanced 3D human brain organoids that replicate the complexity of neural tissue — enabling disease research and drug discovery that actually translates to patients.
> 3D human brain organoid — patient-derived, scalable, reproducible
There is a growing need for human-relevant biological models that enable a deeper understanding of disease mechanisms. Traditional approaches lead to high attrition rates in clinical trials and billions in lost R&D investment.
At Engram-Edge, we tackle this challenge head-on with advanced 3D human brain models that closely mimic key structural and functional aspects of neural tissue — delivering results that translate.
"Bridging the gap between bench and bedside with human-relevant neuroscience."
Tailored to your research and drug development pipeline.
Custom 3D brain organoids generated from patient-specific iPSCs. Capture disease-relevant genetic backgrounds for truly personalized disease modeling and precision medicine.
PersonalizedScale your compound screening with our organoid-compatible HTS platform. Evaluate thousands of candidates with human-relevant readouts in parallel.
ScalableValidate drug candidates in a controlled, reproducible human brain environment before moving to clinical stages. Reduce risk, increase confidence.
TranslationalA streamlined workflow designed to get you results faster.
We obtain iPSCs from patient samples or commercially available engineered variants — cells with the unique ability to differentiate into any cell type for individualized brain models.
Using proprietary cost-effective differentiation methods, we generate 3D human brain organoids that mimic key aspects of neural development and function.
High-throughput imaging, molecular assessments, and electrophysiological measurements reveal how neurological conditions manifest at the cellular level.
Candidate compounds are evaluated on organoids to assess effectiveness and safety, reducing dependence on animal models while improving clinical predictions.
Advanced analytics and machine learning identify biomarkers, disease signatures, and therapeutic targets — bridging research and practical medicine.
Multidisciplinary expertise across stem cell biology, neuroscience, and bioengineering.
Molecular Biotechnology Engineer with dual PhDs in Molecular Biology and Neurosciences (University of Chile & Université Sorbonne Paris Cité). Doctoral and postdoctoral research completed in Paris.
Biochemist with a PhD in Medical Sciences (PUC Chile). Postdoctoral research on neurodevelopment with genetically modified iPSCs. Trained in human brain organoids at Dr. Sergiu Paşca's lab, Stanford University.
PhD in Computer Science (Pontifical Catholic University of Valparaíso), PhD in Complex Systems Engineering (Adolfo Ibáñez University), Molecular Biotechnology Engineer (University of Chile). Expert in machine learning, artificial intelligence, and bioinformatics.
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