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Here’s how AI makes plant-based biologics possible at
scale:

• Growth optimization models dynamically adjust
nutrient inputs, light exposure, and humidity to
maximize protein yield per square meter.
• Codon usage algorithms ensure genetic constructs
are tailored to the host plant’s cellular machinery.
• Yield prediction systems estimate therapeutic
protein mass before harvest, reducing waste and
improving planning.
• Real-time quality control uses imaging,
spectroscopy, and AI anomaly detection to screen
out suboptimal plants before processing.

In essence, AI replaces the rigid controls of traditional
pharma with adaptive intelligence—enabling high
precision in an organic, variable environment.

When Communities Become Manufacturers

Zoom out, and the implications are transformative.

For patients:

• No more waiting for shipment releases or
backorders.
• No more insurance-denied specialty drugs based on
price.
• No more navigating opaque networks of middlemen
and markup.

For providers:

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