AarogyaAI is an AI-enabled SaaS that diagnoses drug-resistant turberculosis (DR-TB) in hours instead of weeks.
Tuberculosis claims more lives every year than HIV. Over 10 million people are diagnosed with tuberculosis each year and 1.7 million die. This is because doctors don’t have the tools to diagnose DR-TB quickly and comprehensively.
The existing drug-resistant tuberculosis diagnostic takes 4-6 weeks. AarogyaAI diagnoses DR-TB 100 times faster, using artificial intelligence. In 5 hours, you know exactly which drugs will work best for you.
AarogyaAI has partnered with leading diagnostic labs in India for building and validating the product.
The company’s goal is to be the gold standard in TB diagnostics by 2023.
Praapti Jayaswal did her PhD in tuberculosis research at the Translational Health Science and Technology Institute, India. Having spent over 12 years as a researcher at top institutes such as All India Institute of Medical Sciences and University of Toledo, USA, she developed expertise in molecular biology and genetics.
Avlokita Tiwari is a computational biologist with a Master’s in bioinformatics. After her stint at THSTI as a Tuberculosis researcher, she spent 5 years writing code for biological data at the University of Turku, Finland and at Okinawa Institute of Science and Technology, Japan. Her expertise lies in computational genomics.