Advanced 3D neural models that include resident immune cells (microglia) can detect very brief but intense immune responses to gene therapy vectors. These transient responses, previously missed in other models, mirror observations in patients, highlighting the predictive power of complex systems.

The endgame for CZI's work is hyper-personalized, "N of one" medicine. Instead of the current empirical approach (e.g., trying different antidepressants for months), AI models will simulate an individual's unique biology to predict which specific therapy will work, eliminating guesswork and patient suffering.

CZI's New York Biohub is treating the immune system as a programmable platform. They are engineering cells to navigate the body, detect disease markers like heart plaques, record this information in their DNA, and then be read externally, creating a living diagnostic tool.

Create's strategy is not limited to a single cell type. They view success in solid tumors as requiring the programming of all immune cells. Their platform can specifically engineer myeloid cells, T-cells, and NK cells in vivo, orchestrating a coordinated, multi-pronged attack on cancer.

While personalized cancer vaccines require extracting and processing a patient's tumor, Create Medicines' in vivo approach is entirely off-the-shelf. By delivering the programming directly into the body, they enable the patient's own immune system to do the complex, personalized work of attacking the cancer itself.

The current boom in immunology and autoimmune (I&I) therapeutics is not a separate phenomenon but a direct consequence of capital and knowledge from immuno-oncology. Many of the same biological pathways are being targeted, simply modulated down (for autoimmune) instead of up (for cancer), allowing for rapid therapeutic advancement and platform reuse.

CZI set an audacious goal to cure all disease. When scientists deemed it impossible, CZI's follow-up question, "Why not?" revealed the true bottleneck wasn't funding individual projects, but a systemic lack of shared tools, which then became their core focus.

While complex gene editing may be challenging in vivo, Colonia's platform presents a novel opportunity: targeting different immune cell types (e.g., T-cells and NK cells) with distinct payloads in a single treatment. This could create synergistic, multi-pronged attacks on tumors, a paradigm distinct from current ex vivo methods which focus on engineering a single cell type.

CZI's virtual cell models act as a computational "model organism," enabling scientists to run high-risk experiments in silico. This approach dramatically lowers the cost and time required to test novel ideas, encouraging more ambitious research that might otherwise be prohibitive.