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A great molecule isn't enough to attract investment. Scientists must demonstrate they've considered manufacturing from day one. Designing a robust process that fits a consistent GMP facility shows investors that the project is not just a scientific curiosity but a viable path to a scalable product.

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A Complete Response Letter (CRL) from the FDA due to manufacturing issues can destroy a biotech. CEO Ron Cooper warns leaders to invest heavily in Chemistry, Manufacturing, and Controls (CMC) early, even when the cost exceeds the clinical trial spend. This early investment in professionalizing CMC is critical to de-risk the company's future.

The belief that bioprocess development must take a long time becomes a self-fulfilling prophecy. Professor Waranyoo Phoolcharoen argues that integrating manufacturing, scalability, and downstream constraints from day one can significantly shorten timelines, challenging the industry's traditional, sluggish mindset.

Instead of viewing a pilot plant as just an R&D cost center, design it to be profitable. This self-sustaining model provides commercial validation and helps secure pre-sale agreements, which can then be leveraged to finance a full-scale industrial facility with less investor risk.

Unlike most biotechs that start with researchers, CRISPR prioritized hiring manufacturing and process development experts early. This 'backwards' approach was crucial for solving the challenge of scaling cell editing from lab to GMP, which they identified as a primary risk.

CEO Marc Salzberg clarifies that for their recombinant protein, the difficulty was not in the manufacturing itself but in designing the complex upstream process, purification, and analytics. This innovation became a core asset and "claim to fame," allowing them to transfer a well-defined process to a capable CDMO for scaling.

According to Novartis's CEO, a top reason for rejecting potential biotech partners is their underinvestment in Chemistry, Manufacturing, and Controls (CMC). Startups often neglect this unglamorous work, leading to deal failure because the acquirer can't be sure the drug can be scaled efficiently and safely.

Many innovative drug designs fail because they are difficult to manufacture. LabGenius's ML platform avoids this by simultaneously optimizing for both biological function (e.g., potency) and "developability." This allows them to explore unconventional molecular designs without hitting a production wall later.

A process that seems simple in a development lab is often not viable in a strict GMP manufacturing environment. To create truly manufacturable therapies, process development scientists need direct, hands-on exposure to GMP constraints and workflows to avoid significant rework and delays.

True biosecurity isn't about replicating old, low-cost factories in the U.S. Instead, it requires a 'BioBuild' strategy focused on creating advanced, innovative manufacturing capabilities. This means investing in the engineering and science to lead in complex areas like cell and gene therapies, where the manufacturing process itself is the product, rather than just bringing back capacity for generic pills.

Titus believes a key area for AI's impact is in bringing a "design for manufacturing" approach to therapeutics. Currently, manufacturability is an afterthought. Integrating it early into the discovery process, using AI to predict toxicity and scalability, can prevent costly rework.