Amplifier Health

🚀 Tech Showcase 🚀 We’re excited to feature Amplifier Health at the HealthAi Summit! Amplifier Health is transforming care by unlocking the diagnostic power of the human voice. Using only 10 seconds of speech, its foundation model can detect and monitor over 35 conditions, including neurodegenerative, psychiatric, and respiratory health indicators, through a non-invasive, AI-powered platform. This represents a scalable, cost-effective way to bring personalized health insights to both clinical and consumer applications. The company has a deep science and technical background and has forged domestic and international partnerships to clinically validate and implement the technology. Presented by Amit Mehta, MD, CEO, Amplifier Health and General Partner, Builders VC. Dr. Amit Mehta is an entrepreneur turned investor focused on Builders VC's healthcare investment practice and leading Amplifer Health. Dr. Mehta completed his residency at Harvard Medical School, where he also completed a fellowship in Minimally Invasive Image-Guided Surgery. 📅 October 28, 2025 📍 The Event Center at Sandia Golf Club, Albuquerque 👉 RSVP, sponsor, or learn more → ai.healthinno.io #HealthAi #HealthInno #HealthcareInnovation #AIinHealthcare #VoiceAI #DigitalHealth Thank you to our Event Partners: Builders VC | SYNCRONYS | MECA Therapies - Las Cruces 🎉🙏 And our wonderful sponsors: The University of New Mexico Health Sciences Center | City of Santa Fe Office of Economic Development | NM Tech Talks | Google Developers Group | ENVIVE Solutions, LLC | CNM Ingenuity | New Mexico Bioscience Authority | Tramway Venture Partners | HIMSS New Mexico Chapter | STEM Boomerang New Mexico | UnitedHealthcare Community & State New Mexico Community Plan | ACHE of New Mexico (fka NM Healthcare Executives) | Caraway Resource and Consulting Solutions LLC dba Caraway Solutions | Labyrinth Consulting LLC

Amplifier is honored to be named a finalist in this year's Rising Star – Diagnostic category for the The Digital Health Hub Foundation - Digital Health Awards at HLTH USA. Selected from thousands of submissions worldwide, this recognition highlights our dedication to unlocking the real-world impact of voice-biomarkers. #HLTH2025

Conversational AI is being adapted to support emotional wellness in older adults. a2 Collective #awardee Amplifier Health Inc. is developing a chatbot powered by natural language processing and affective computing to help older adults engage with digital tools that promote well-being. Led by Amit Mehta and Camille Noufi, this pilot explores how voice-based AI can enhance emotional connection, comfort, and tech acceptance among aging populations. With support from #jhaitc, the #cohort4 project focuses on #healthyaging through novel applications of #NLP and human-centered AI. #AI #Agetech #chatbots #digitalhealth #emotionalwellbeing #aging CC: Amplifier Health Johns Hopkins Human Aging Project The Johns Hopkins University School of Medicine a2 Collective | a2PilotAwards.ai National Institute on Aging (NIA) The Johns Hopkins University https://lnkd.in/gUM2ip7e

It was an honor to be selected to present and great to win. We look forward to working with TGH and TGH Ventures on this exciting opportunity! 🎉

Amplifier Health is honored to announce that we have been selected as the winner of the TGH Ventures Pitch Competition, held during the 2025 Bridge2Voice AI Symposium. The competition, hosted by TGH Ventures and the Bridge2AI-Voice Consortium, focused on translating voice AI research into real-world healthcare applications. Our team presented our innovative approach using AI and voice analysis for non-invasive health monitoring and diagnostics, addressing critical needs like early detection and remote patient monitoring. As the winner, Amplifier Health looks forward to beginning collaborative work and clinical trials with Tampa General Hospital (TGH). This partnership will provide invaluable clinical validation, strategic mentorship, and support as we scale our technology. We thank TGH Ventures for this recognition and the opportunity. We are committed to advancing voice biomarker technology to redefine healthcare delivery. Find out more about Amplifier Health: www.amplifierhealth.com #AmplifierHealth #TGHVentures #VoiceBiomarkers #AI #HealthcareTechnology #DigitalHealth #TampaGeneralHospital #Bridge2AI #MedicalInnovation #Partnership Bridge2AI - Voice Amplifier Health Camille Noufi, PhD Jeremy Barber Amit Mehta, MD Reza Amini Gougeh Vijay Ravi Yael Bensoussan Jamie Toghranegar TGH VENTURES Tampa General Hospital Chuck Sykes Rachel Karlnoski-Everall Jason Swoboda, PT Debbie Rinde-Hoffman

The Amplifier Health team spent the last two days immersed in the latest advancements at the #Bridge2AI Voice Conference in Tampa. Our own Camille Noufi, PhD, head of AI research at Amplifier Health spoke on the Emerging Research Methods and Technologies panel. It was a valuable opportunity to learn from experts and engage in critical conversations about the intersection of artificial intelligence, voice technology, and health data. Sessions exploring ethical AI implementation, interoperability challenges, and real-world applications of voice in clinical settings were particularly insightful. Making meaningful connections with others passionate about building a data-driven future for healthcare was a definite highlight. We believe collaboration is key to realizing the full potential of AI in healthcare, and events like Bridge2AI are crucial for fostering that. We're eager to integrate the knowledge shared into our work at Amplifier Health. A huge thank you to the organizers and speakers for a well-run and thought-provoking conference! Yael Bensoussan Jamie Toghranegar Tampa General Hospital TGH VENTURES Satrajit Ghosh Rupal Patel Camille Noufi, PhD Bridge2AI - Voice University of South Florida Vijay Ravi Reza Amin, PhD Jeremy Barber Peh Keong Teh Builders VC #Bridge2AI #VoiceAI #HealthcareAI #DataScience #HealthData #Collaboration #Tampa #AmplifierHealth #AIethics

🎤 The Critical Balance: Voice Analysis Technology and the Implications of Diagnostic Accuracy Today I read an insightful letter in the Annals of Family Medicine discussing voice analysis in early disease detection. As we develop these technologies at Amplifier Health, I'm particularly focused on the diagnostic accuracy challenges highlighted in this research. The article emphasizes a crucial concern that resonates with our work: ⚠️ AI-based voice biomarker technology for depression detection showed sensitivity and specificity of 71.3% and 73.5% respectively when compared to standard screening tools - promising, but with significant implications for both false positives and false negatives as with any therapeutic area. 🔍 The authors rightfully emphasize that missed cases of depression (false negatives ❌) can hamper early referral to mental health services - a delay that could significantly impact patient outcomes and quality of life. ⚡ Conversely, false positives ⚠️ could cause unwarranted anxiety in patients and increase clinical load on already strained healthcare systems. ⏳ This balancing act extends beyond depression to early detection of neurodegenerative conditions like Alzheimer's and Parkinson's, where the window for effective intervention narrows substantially once clinical manifestations become pronounced. At Amplifier Health 🔊, we're committed to developing voice biomarker technology that prioritizes diagnostic accuracy. We believe the greatest challenge - and opportunity - in this space is creating tools that minimize both false negatives (ensuring patients who need care receive it promptly) and false positives (avoiding unnecessary treatment and anxiety). 🔬 The future of non-invasive diagnostics depends on our ability to create reliable, well-validated tools that truly support clinical decision-making rather than complicating it. 💭 I would love to hear from the community what diagnostic accuracy threshold do you believe is necessary for wide adoption of voice biomarker technology in clinical settings? #DiagnosticAccuracy #VoiceBiomarkers #AIinHealthcare #EarlyDetection #PatientCare Bridge2AI - Voice Interspeech 2025 Camille Noufi, PhD Jeremy Barber Reza Amini Gougeh Peh Keong Teh Builders VC Amplifier Health Harrison C.

🎤 The Critical Balance: Voice Analysis Technology and the Implications of Diagnostic Accuracy Today I read an insightful letter in the Annals of Family Medicine discussing voice analysis in early disease detection. As we develop these technologies at Amplifier Health, I'm particularly focused on the diagnostic accuracy challenges highlighted in this research. The article emphasizes a crucial concern that resonates with our work: ⚠️ AI-based voice biomarker technology for depression detection showed sensitivity and specificity of 71.3% and 73.5% respectively when compared to standard screening tools - promising, but with significant implications for both false positives and false negatives as with any therapeutic area. 🔍 The authors rightfully emphasize that missed cases of depression (false negatives ❌) can hamper early referral to mental health services - a delay that could significantly impact patient outcomes and quality of life. ⚡ Conversely, false positives ⚠️ could cause unwarranted anxiety in patients and increase clinical load on already strained healthcare systems. ⏳ This balancing act extends beyond depression to early detection of neurodegenerative conditions like Alzheimer's and Parkinson's, where the window for effective intervention narrows substantially once clinical manifestations become pronounced. At Amplifier Health 🔊, we're committed to developing voice biomarker technology that prioritizes diagnostic accuracy. We believe the greatest challenge - and opportunity - in this space is creating tools that minimize both false negatives (ensuring patients who need care receive it promptly) and false positives (avoiding unnecessary treatment and anxiety). 🔬 The future of non-invasive diagnostics depends on our ability to create reliable, well-validated tools that truly support clinical decision-making rather than complicating it. 💭 I would love to hear from the community what diagnostic accuracy threshold do you believe is necessary for wide adoption of voice biomarker technology in clinical settings? #DiagnosticAccuracy #VoiceBiomarkers #AIinHealthcare #EarlyDetection #PatientCare Bridge2AI - Voice Interspeech 2025 Camille Noufi, PhD Jeremy Barber Reza Amini Gougeh Peh Keong Teh Builders VC Amplifier Health Harrison C.

Had so much fun participating in this VCs x Founders hackathon at Menlo Ventures - Thank you C.C. Gong for organizing! It is amazing what you can create in a few hours with a motivated team (Casey Caruso + Saahas Yechuri) and good tools. A bit more about the demo: Wellness/health monitors like ŌURA, WHOOP (and what we are working on at Amplifier Health! 😉 ), track and report physiological data and wellness scores, but they don’t yet tell you WHY you feel the way you do. Our demo surfaced how social interactions shape the emotional energy stored in your body—linking physiological signals with your work and social life to surface hidden patterns. Which meetings spike your stress? Who leaves you feeling drained or recharged? Did that date truly energize you? By making these connections visible, we empower you to align your time with the people and experiences that support your well-being.