Pitch Presenters

Category: 2024 Awards

Adaptyx Biosciences | Alex Yoshikawa | continuous biomonitoring of small molecules and proteins
Overview: Adaptyx Biosciences, a spin-off from Stanford, is developing a cutting-edge biomonitoring platform built on over a decade of groundbreaking research in molecular switches and biosensors. Our technology offers a minimally invasive, real-time solution for continuously monitoring small molecules and proteins, enabling deeply personalized medicine. With an initial focus on cardiovascular disease management, our sensors are designed to enhance clinical outcomes and improve quality of life by empowering patients to monitor their health from home.

Apricity Robotics | Aaron Crookes | AI trained robotic ultrasound imaging
Overview: Apricity Robotics is developing a robotic and machine learning platform that standardizes high-quality ultrasound acquisition, relieves the burden of stress and injury among sonographers (healthcare workers who complete ultrasound exams), and increases patient access to essential medical imaging. Our mission is to leverage technology to amplify human impact in healthcare, thus providing a better experience for both patients and healthcare workers.

Nuroo | Kathrin Gerpheide | earpods for assessing emotional states
Overview: Nuroo is pioneering the future of emotional well-being through cutting-edge neuroscience and technology. Using real-time brain data from wearable headphones, our software provides deep insights into emotional states, helping individuals and clinicians improve emotional health. Leveraging advanced EEG analysis and AI, Nuroo is set to become the brain-computer interface for emotions, transforming brain data into actions that empower true emotional well-being and revolutionizing mental health care through AI-driven solutions.

hinlab Inc. | Denys de Larouziere | wearable remote cardiac monitoring
Overview: hinlab is redefining cardiac diagnosis and care by building the most advanced AI-augmented device in cardiology. The device, equipped with advanced sensors and AI, ensures hospital-grade accuracy at home. Acting as a 24/7 virtual cardiologist, it detects various cardiac features.

SculptAR | Trishia El Chemaly | real-time fusion of 3D images into AR overlays on patients for surgeons
Overview: SculptAR converts 3D medical images into detailed, real-time AR overlays of patient-specific anatomical models for surgical preplanning. Surgeons can achieve better precision during surgery through preplanning with SculptAR. SculptAR empowers patients with clear, personalized previews of their potential results and surgical procedures. This enhances patient satisfaction by setting realistic expectations and providing a more engaging, informative experience in the surgical journey.

Sonologi | Chonghe Wang | continuous wearable ultrasound imaging
Overview: Sonologi is a pioneer company in wearable ultrasound technology, developing advanced imaging patches for critical care. Our breakthrough enables real-time, high-resolution imaging of multiple organs, providing continuous monitoring that was previously impossible. This innovation promises to revolutionize medical imaging, making it more accessible and effective in ensuring better patient outcomes in critical care.

Swaza, Inc. | Artem Trotsyuk | oxygenation nanoparticle therapeutic
Overview: Swaza is transforming respiratory care with the world’s first nanofluid breathing aid, capable of raising blood oxygen levels without the need for O2 tanks or ventilators. Our disruptive, low-cost solution provides a safe, non-invasive alternative to mechanical ventilation, redefining the standard of care for a critical unmet need. In addition to respiratory care, we’ve engineered products on our platform for burn, wound, and trauma care, harnessing oxygen’s power to promote tissue regeneration.

Vitaly Medical, Inc. | Suoyi (Lucas) Feng | wearable on wrist for early detection of stroke
Overview: Vitaly Medical is revolutionizing stroke screening with our real-time stroke detection wristband. It detects strokes within 15 minutes of onset with 94% accuracy, validated in a clinical study of 40 patients. Our device uses machine learning to detect early signs of stroke by analyzing real-time data from our patent-pending sEMG sensor, 6-axis IMU, and PPG sensor. By detecting strokes much earlier than the current standard of care, it significantly improves patient outcomes and reduces costs