While AI enables rapid drug creation for single individuals (n-of-1), the economic model is broken. It is not a commercial opportunity, creating an urgent societal challenge to develop new funding mechanisms like public-private partnerships to support these life-saving, non-scalable treatments.

For gene editing to achieve its potential, companies must solve an economic problem, not just a scientific one. The key is developing a manufacturing system that dramatically lowers costs, making one-time cures for the "long tail" of rare mutations financially viable and accessible.

To move beyond rare diseases, gene therapy must evolve. Key industry trends include lowering doses to mitigate toxicity, developing technologies to overcome neutralizing antibodies for re-dosing, and eliminating complex immunosuppression regimens. This evolution will enable treatment in community or outpatient settings, which is crucial for scaling to larger patient populations.

The focus in advanced therapies has shifted dramatically. While earlier years were about proving clinical and technological efficacy, the current risk-averse funding climate has forced the sector to prioritize commercial viability, scalability, and the industrialization of manufacturing processes to ensure long-term sustainability.

The key to treating rare diseases is not just CRISPR technology but a regulatory shift toward an "umbrella" or "platform" strategy. This allows multiple drugs for different mutations to be tested under a single trial, drastically lowering costs and making it feasible to develop treatments for tiny patient populations.

The highly personalized, N-of-1 approaches developed for rare diseases are not a niche field. With advanced genetic sequencing, it's becoming clear that every disease is effectively rare and unique to the individual. The lessons from rare disease are creating the foundation for all future medicine.

Contrary to common belief, manufacturing costs for gene therapies are becoming manageable and approaching those of biologics. The real bottleneck preventing their use in broader diseases is the need to optimize the 'clunky' delivery vectors for better targeting and safety.

The Innovative Genomics Institute is tackling rare diseases by creating a standardized platform. By keeping elements like the delivery vehicle and enzyme constant and only changing the guide RNA, they aim to create a repeatable 'bucket trial' process for developing hundreds of cures, not just one-offs.

For patients with ultra-rare diseases, traditional drug development is too slow. AI platforms like Therna's can design a custom RNA molecule in days and complete the lab-testing cycle in under three months, compressing a multi-year process and making previously impossible treatments viable.