Siddharth shares how a childhood interest in STEM, coding, and entrepreneurship led him to build technology that uses iPhone-recorded heart sounds to help identify potential heart health abnormalities. The conversation covers AI in healthcare, preventive screening, rural healthcare access, clinical validation, FDA pathways, and the role of young innovators in shaping the future of medical technology.

This episode explores how artificial intelligence may help expand access to heart health screening, support clinicians, and bring earlier detection tools to communities that need them most.

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Together, they unpack how speech and language analytics can unlock medically meaningful signals, what it takes to move voice-based AI from research to real-world clinical workflows, and why this category is becoming increasingly relevant across neurology, behavioral health, and cognitive health.

If you’re a healthcare leader, innovator, investor, or technologist tracking AI diagnostics, clinical decision support, and the future of digital health, this conversation will sharpen how you think about what’s coming next.

Topics include: voice biomarkers, vocal biomarkers, speech analytics, AI in healthcare, clinical validation, ambient listening, machine learning in medicine, neurology, Alzheimer’s, Parkinson’s, depression screening, and clinical adoption.

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Kris shares how her team built a patented AI-powered sensor system that captures live pollen and mold data—empowering researchers, clinicians, and even everyday users to make better health decisions. From climate change’s impact on allergy seasons to the AI models driving real-time detection, this episode dives into how data, innovation, and healthcare intersect to help us all breathe easier.

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