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Driving Scientific Breakthroughs with Lakesai | Accelerating Drug Discovery and Innovation with AI and Compassion
The Life Sciences Blind Spot: Why Do We Ignore Failure? When we talk with drug research teams in the Global South 🌍, we often hear, “This molecule doesn’t work here, and we don’t have the resources to document why.” What if every “didn’t work” story becomes a building block for more representative, safer research, accelerating both productivity and patient outcomes? 💡 In aviation, every accident worldwide contributes to a safer industry. But in life sciences, we rarely get the full picture. Our data is skewed by success stories, leaving an untapped “waste basket” 📉 of negative results. Everyone holds on their data, keeping it close. Why not at least share your "waste basket"? How can we close this documentation gap? By leveraging generative AI, we can make sense of all data, both positive and negative 🔄. We can build a more objective, representative, and unbiased foundation for discovery. If we want AI to be truly unbiased, we must ensure it’s built on fully representative data. To be clear, it’s not about AI as technology and what AI is capable of; it’s about Good Data! The real value of AI in healthcare should be in the quality and availability of representative data. A paradigm shift is overdue! It’s time for a platform that turns missed opportunities into meaningful insights 🧬, helping us learn as much from what didn’t work as from what did. This approach not only has the potential to streamline research productivity but also to drive faster, safer solutions for patients worldwide 🚀. Curious about how tools like LakeSAI are helping unlock the potential of “waste basket” data? Let’s connect and discuss. Vitafluence.ai Peter Owotoki Wamuyu Owotoki #vitafluenceai #lifechangingai #innovation #aiforlife #empathy #empatheticAI #drugdiscovery #lifesciences #healthcare https://lnkd.in/dSkPzcxx