Viome's CTO, Guru Banavar, dives into how AI and genomics revolutionize personalized health. They discuss RNA's role in predicting diseases, challenges in RNA analysis, breakthrough in cancer detection, and machine learning's impact on personalized health interventions. Vyom's research blogs offer deeper insights into their innovative approach.
Viome uses AI and genomics for personalized healthcare advancements.
Analyzing RNA helps detect early disease markers like insulin resistance.
Microbiome analysis aids in predicting and preventing chronic diseases.
Deep dives
AI Impacting Health and Wellness
AI is being used to improve various aspects of healthcare, from medical imaging to personalized precision healthcare like VioM's approach.
Focus on Chronic Diseases
VioM aims to address chronic diseases, which often develop over time due to lifestyle factors. By analyzing RNA instead of DNA, VioM can detect early markers of diseases like insulin resistance and inflammatory bowel disease.
Microbiome's Role in Health
VioM explores the impact of the microbiome, where the majority of cells in the body are microbial. Understanding gene expression from microbes and humans helps in predicting and preventing chronic diseases.
Machine Learning in Healthcare
VioM's platform utilizes machine learning for diagnostics and insights. Supervised learning helps connect microbiome patterns with health conditions, while unsupervised learning explores molecular processes like short-chain fatty acid production.
Preventative Medicine and Paradigm Shift
VioM focuses on preventative healthcare, aiming to shift the paradigm from reactive to proactive care. The platform's scientific discourse and peer-reviewed publications support its role in advancing understanding and conquering chronic diseases in the future.