Unlocking AI’s Role in Cancer Drug Discovery: Insights from Recent Findings
In a groundbreaking announcement, Google revealed how the Gemma model contributed to discovering a new potential cancer therapy. But is this truly a leap forward for AI in science?
Key Insights:
- Human-Driven Discovery: The entire experimental setup, including data and design, was crafted by human intelligence.
- AI’s Role: While AI facilitated candidate predictions based on trained data, it did not independently theorize or create drug candidates.
- Process Highlights:
- 50 million transcriptomes informed the model.
- Supervised fine-tuning predicted gene expression profiles.
- A thorough human review was essential in evaluating top results for novelty.
Though AI enhances efficiency, the core of drug discovery remains a human endeavor.
Curious to explore the nuances of AI’s role in science? Share your thoughts below and don’t forget to connect for more insights!
