Did you know that your DNA contains three billion letters, and a single « typo » could be the difference between health and a serious condition like glaucoma or heart disease? In this video, we explore the cutting-edge AI tools that are helping scientists find these « needles in a three-billion-letter haystack. »
In this video, we cover:
• The Limits of Traditional Science: Why traditional methods like GWAS (Genome-Wide Association Studies) often struggle with the « noise » and complexity of human biology.
• Deepnull: Discover how this smart AI can see through biological complexity, leading to a 46% increase in identifying genetic locations for risks like glaucoma compared to old methods.
• The Power of AI Phenotyping: How we are moving away from crude « yes or no » disease labels to precise, data-driven scores that learn from raw data like lung scans or optic nerves.
• Reglet & Unsupervised Learning: How AI can explore « dark rooms » of data without any labels to find patterns scientists might have missed.
• Emergle (Multimodal AI): Why listening to the whole « genetic orchestra » instead of just one instrument allows us to find invisible connections. For example, using Emergle on heart data (ECG) revealed 30 genetic markers that were previously invisible to scientists!
Why it matters: These deep genetic insights are already being used to create more accurate risk scores for conditions like atrial fibrillation, allowing for earlier intervention and potentially saving lives. The scientific toolkit for understanding our DNA has officially « leveled up. »
Don’t forget to like, subscribe, and hit the notification bell to stay updated on the latest in AI and genetic research!
Soyez le premier à commenter