Google Health’s Post

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Genetic heritability is responsible for 30% of individual health outcomes – from various forms of cancer to eye diseases and beyond. While genomic sequencing and analysis have become more widespread, researchers are still identifying ways to better interpret sequence data. At Google, we believe that machine learning may hold the key to unlocking the power of more advanced genomic analysis. Here are a few ways we’re working to progress the world’s ability to leverage the power of the genes that live inside each of us 🧬 Read more: https://goo.gle/44zyA9W

Joshua Anang

17 y/o AI startup Founder | Revolutionizing healthcare with Artificial Intelligence. | Imperio Revolutionizing dentistry with artificial intelligence.

1mo

I'm deeply committed to improving the health of individuals with artificial intelligence. I applied my skills in machine learning and artificial intelligence to build my startup ChatDoc. An AI doctor chatbot. I did some research and found that 7% of Google's daily searches are health-related as well. With posed a great market for my startup. It includes AI technologies such as a GPT model, a multimodal LLM for image searching (converting images into text) and a voice chat model. I'd appreciate an opportunity to leverage my startup or my skills to better improve the health and wellness of individuals at Google Health. Super excited, can't wait to hear from you.

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Shaan M. Khan

Founder & CEO @ uExel | Building Custom Softwares for Precision Health Systems

1mo

Genomic analysis can significantly impact individual health outcomes, responsible for 30% of them. It offers insights into genetic heritability linked to various diseases and conditions. With advancements in genomic sequencing and machine learning, there's potential for more precise interpretations of genetic data, enhancing disease prevention and personalized medicine.

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I guess, the cellular processes will also get integrated into such an analysis for all the factors and conditions that affect the genes.

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