We all have our own healthcare story - whether managing a chronic condition or helping a loved one navigate an illness. It’s often during this journey that you experience firsthand how difficult it is to gain access to the health data and information that give patients and caregivers a full picture of one's health.
Welcome to our blog
AI for Healthcare
Today, I’m excited to share that doc.ai has entered into a definitive agreement to be acquired by Sharecare, the digital health company that helps people manage all their health in one place.
Tensor/IO brings machine learning framework to ecosystem of smart devices
Our lives, like our health, are continuous functions. Our health is not just what’s assessed at a point in time during a doctor’s office visit, but all the data points that impact our wellness in-between. We can now capture and monitor these real world data points with smartphones, wearables and a growing number of at-home tests to evaluate your nutrition, microbiome or the impact of genetics on health.
Motivation and Introduction
Data privacy is one of our core values at doc.ai, and privacy is by design in all our products and solutions. We respect the personal information of our users and we understand the choices involved in contributing to better health outcomes via the right vehicle at the right time, such as clinical research or AI trainings.
To facilitate our twin goals of respecting privacy while learning from data, we have committed ourselves to researching and developing cutting edge privacy-preserving technologies such as edge AI and federated learning. Together these technologies make it possible to train AI models on mobile devices themselves, which allows us in turn to keep an individual’s data on the device, a necessary first step in preserving data privacy.
doc.ai was founded with the bold mission of unlocking the value of real world data from research to care. We’ve worked on breaking down data silos in healthcare ultimately increasing the pace of innovation and creating pathways to better health outcomes.
Mid-November, some of the best minds transforming the healthcare experience in real life and real-time met at the 7th Annual emids Healthcare Summit. This year, the summit focused on making digital health doable at an unprecedented pace and scale.
It’s time to become an expert for the survival of your business.
Since I co-founded doc.ai, I have spent a lot of time talking with business leaders from the healthcare industry, but with the arrival of the pandemic my conversations have expanded to leaders and CEOs outside of healthcare, from all industries.
Much like any other industry in the modern world, the healthcare industry is growing rapidly with health data doubling every 73 days.
There seems to be a consensus nowadays that medical information in the United States doubles every 73 days estimated to arrive at hefty 2.3 zettabytes (ZB) by 2020. But even these optimistic calculations do not take into account what happened this month when Google announced “Towards Federated Learning At Scale: System Design” and happily said:
Review of Eric Topol's upcoming "Deep Medicine"
For his third book, Eric Topol produced a time capsule for Deep Medicine AD 2019: a particular time in the history of healthcare when everything was still possible, but we had to make a choice.