Biographica

Decoding crop genetics with AI

What is the Challenge?

The global population is projected to reach 10 billion by 2050, intensifying the demand for food production. Concurrently, climate change is diminishing crop yields, exacerbating food security concerns. Gene-editing offers a promising solution to develop crops that are more productive, nutritious, and resilient to environmental stresses. However, identifying which genes to edit remains a significant bottleneck, as traditional methods are time-consuming, costly, and often unsuccessful.

What is the Solution?

Biographica, a UK-based biotech startup, is revolutionizing crop development by employing advanced deep learning and knowledge graph technologies to pinpoint high-value genetic targets for gene-editing. Their platform analyzes entire genomes to identify novel genes associated with desirable traits, moving beyond conventional approaches that often overlook complex genetic interactions.

By integrating high-throughput sequencing data with biology-aware machine learning models, Biographica can rapidly and accurately predict gene functions and their impact on crop traits. This enables the development of crops with enhanced productivity, nutritional value, and climate resilience, addressing the pressing challenges of global food security

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