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# 2024 Virufy Diagnosis AI |
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Respiratory diseases, including COVID-19, require prompt detection and action. Traditional methods often fall short, especially in low-resource settings. This project introduces an AI-powered mobile app that analyses cough sounds recorded via smartphones to detect and predict respiratory outbreaks. Using generative AI, the app generates real-time insights and forecasts disease spread, improving early detection and enabling timely public health interventions. This approach also supports better vaccine distribution and preparation for future outbreaks, revolutionising respiratory health monitoring
Amil Khanzada is a PhD student at the University of Fukui in Japan, pursuing a research thesis in applying marketing and nudge theory to accelerate the collection of AI training data for smartphone-based tools to diagnose respiratory diseases from breathing sounds. Prior, Amil was a student at UC Berkeley and Stanford pursuing an MBA and MSCS in AI. A data guru, Amil has worked as a software developer and consultant both in the Silicon Valley and Tokyo, in the database and cybersecurity fields, prior to starting his international nonprofit AI research organization Virufy in response to the COVID-19 pandemic. more
Ryuma Nakahata is a highly skilled full-stack developer and MSCS student at Binghamton University with diverse experiences building a hospital data LLM chatbot, speech AI voice assistant, and a generative AI app providing insights for a Japanese government's sightseeing dataset.more
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Professor Takemoto is a successful entrepreneur specializing in new business creation, behavior change, and regional revitalization. His research utilizes operations research and statistical methods, incorporating techniques like gamification and nudge theory. He leads a dynamic research laboratory conducting high-quality studies on topics including business model innovation, sustainable business development, and community engagement strategies. His work frequently involves data analysis and a variety of research methods such as surveys, experiments, and case studies, focusing on practical solutions for regional economic growth.more
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Laura Gomezjurado Gonzalez is a Computer Science B.S. student at Stanford University passionate about using technology to bridge the gap between research and social impact. She has dedicated her time to both medical AI research and empowering youth and women in Colombia through tech-driven initiatives and leading organizations like Vox Nostra and ASOFI. Her work has been recognized by the UN Foundation and the Conrad Foundation. Recently, Laura was selected as a Masason Foundation member by Softbank Group Corp., where she is connecting with other talented individuals to contribute to the future of humankind.more
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Olakunle Jaiyesimi, PhD, is a Postdoctoral Fellow at Harvard, specializing in metabolomics. His research focuses on the impact of environmental factors on reproductive and developmental traits. He is interested in understanding the molecular mechanisms underlying environmental impact of environment on health and disease.more
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Nicholas Rasmussen, core audio AI signal processing developer and patent co-inventor (complex clipping) with Stanford faculty at Virufy, applies big data and machine learning to diverse challenges. His work ranges from AI-guided footwear impression analysis for criminal tracking to COVID-19 detection through cough sound analysis. As a University of South Dakota research assistant, he leverages AI, including neural networks like U-Net, to analyze large datasets and extract meaningful insights. Nicholas's research has been recognized with the Undergraduate Research Award and a National Science Foundation-Research Experience for Undergraduates (NSF-REU) selection, leading to co-authorship on two peer-reviewed publications. His ongoing work focuses on refining these technologies for real-world applications.more
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Nanyang Technological University
Targeted antimicrobial treatment for resistant infections
Early detection and non-invasive correction of breech pregnancies
