<ul data-eligibleForWebStory="false"><li>Biology is complex and doesn't follow linear patterns, rendering AI-driven drug discovery challenging.</li><li>AI models optimized for correlation rather than causation can lead to failure in wet lab experiments and patient harm.</li><li>Modern biomedicine requires understanding the entangled and multi-layered nature of diseases, moving away from oversimplified models.</li><li>The future lies in embedding AI within biological logic, validated through causal systems, and acknowledging the complexity of biological systems.</li></ul>

Biology Doesn’t Play Fair: Why AI Alone Won’t Save Drug Discovery

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