Skip to content
Tech News
← Back to articles

Our Approach to Bioresilience: Isomorphic Labs and Google DeepMind

read original more articles
Why This Matters

The collaboration between Isomorphic Labs and Google DeepMind highlights the transformative potential of AI in enhancing biosecurity and resilience against infectious diseases. By advancing AI-driven tools for prevention, detection, and response, the tech industry can play a crucial role in safeguarding global health and mitigating future outbreaks.

Key Takeaways

The global biosecurity landscape is rapidly evolving. Shifting natural ecosystems, global travel and the potential misuse of AI require greater vigilance — yet AI is also a critical tool for our response. We need frontier AI models, and the scientific advances they will enable, to respond to these challenges and help make society more resilient to events like future outbreaks.

Today, Google DeepMind and Isomorphic Labs are sharing our joint approach to bioresilience.

Our work is twofold - to prevent threat actors from misusing our models, and to ensure that governments, scientists, biosecurity experts and our teams can harness these technologies to build a more resilient world.

Over the past 12 months, we have advanced more than 15 partnerships with government bodies, biosecurity organizations, and research groups to prevent threat actors from misusing our models, detect new outbreaks quickly and respond quickly and effectively.

Inside our bioresilience program

We believe society must harness AI’s advancing capabilities to address infectious diseases and prepare for future outbreaks.

Breakthroughs like Google DeepMind’s AlphaFold, which mapped the 3D structures of nearly all known proteins; Isomorphic Labs’ AI-powered Drug Design Engine (IsoDDE), which provides the real-world accuracy required to navigate novel biological systems with unprecedented precision; and AlphaGenome, which sheds light on genome function, are radically shifting the balance. Instead of just reacting to natural outbreaks or safety risks, we can now use these intelligent systems to help researchers design proactive defenses, accelerate the discovery of therapeutics, and safeguard the global health ecosystem with greater speed and precision.

With this in mind, we are making our AI models and agents available to trusted partners to support progress across three key areas: prevention, detection and response. Here are some examples:

Prevent:

To ensure our models, like Gemini, are safe and useful to experts, we follow a four-step safety process: threat modeling, evaluations, mitigations and monitoring.

... continue reading