By combining drugs/therapies with different mechanisms of action, different pathways in cancer cells can be targeted, potentially leading to improved patient outcomes. Using AI is hastening this research.

Artificial intelligence can transform medicine in a myriad of ways, including its promise to act as a trusted diagnostic aide to busy clinicians.

Over the past two years, proprietary AI models, also known as closed-source models, have excelled at solving hard-to-crack medical cases that require complex clinical reasoning. Notably, these closed-source AI models have outperformed open-source ones, so-called because their source code is publicly available and can be tweaked and modified by anyone.

Has open-source AI caught up?

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Scientists have created a groundbreaking AI that uses living human brain cells instead of traditional silicon chips, allowing it to learn and adapt faster than any existing artificial intelligence. Developed by Cortical Labs, this new technology, called Synthetic Biological Intelligence (SBI), combines human neurons and electrodes to create a self-learning system that could revolutionize drug discovery, robotics, and computing. The CL1 AI unit, unveiled in March 2025, operates with minimal energy, doesn’t require an external computer, and is available through Wetware-as-a-Service (WaaS), enabling researchers to run experiments on biological neural networks from anywhere in the world.

🔍 KEY TOPICS
Scientists create an AI using living human brain cells, redefining intelligence and learning.
Cortical Labs’ CL1 unit combines neurons and electrodes for faster, more efficient AI
Breakthrough in Synthetic Biological Intelligence (SBI) with real-world applications in medicine, robotics, and computing.

🎥 WHAT’S INCLUDED
How human neurons power AI, enabling it to learn and adapt faster than any chip.
The revolutionary CL1 system, a self-contained AI unit that doesn’t need an external computer.
The potential impact of biological AI on drug discovery, robotics, and future technology.

📊 WHY IT MATTERS
This video explores how AI built with human neurons could reshape computing, making systems smarter, more energy-efficient, and capable of human-like learning, raising new possibilities and ethical debates.

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