xCures
Nick Tailor-Arora has extensive experience in various roles within the healthcare and technology sectors. Nick is currently the Director of Medical Information at xCures, where they utilize AI and precision medicine to improve cancer research and care. In 2007, they founded and served as CEO of the Arora Group, focusing on healthcare management and social entrepreneurship in southeast India. As an Advisor at Rymedi, RemediChain, Solaster, and LINKCHAIN, they have contributed to revolutionizing the life sciences and healthcare industries through blockchain, AI, and IoT technologies. Additionally, they have served as a Special Advisor to the CEO at Sai Sudha Hospital, where they led public health initiatives and established partnerships with renowned organizations. Furthermore, they have held positions such as Co-Host at Blockchain in Health Care SF, Session Chair at Stanford Medicine X, and Guest Lecturer at Stanford University.
Nick Tailor-Arora has a strong education background in the field of healthcare and public health. Nick holds a Masters degree in Healthcare Management from Yale University. In addition, they pursued a Medical Doctor (M.D.) degree at Rutgers New Jersey Medical School, where they also had the opportunity to be a Humanism Fellow, focusing on humanistic aspects of medicine. Prior to that, Nick completed their Bachelors degree in Public Health at The Johns Hopkins University. Their education journey began at The Overlake School, where they obtained their high school diploma.
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xCures
The convergence of genomics, precision medicine, and AI have created an unprecedented moment in the world of oncology. But the drug-centric way in which treatments are developed and the haphazard way in which knowledge about those treatments is captured and delivered to the point of care does not serve patients well. xCures is changing that, withan AI-based precision oncology platform that tightly integrates cancer research and care.The xCures platform runs a perpetual trial that captures Real World Evidence (RWE) to continuously learn from all patients, on all treatments, all the time. It coordinates treatment recommendations across all patients and institutions to match patients with the treatments that work. And it packages RWE for use by stakeholders across oncology, slashing the time and cost of drug development and saving lives.