‍New AI diagnosis can predict likelihood of COVID-19 without testing‍

Approach could help get Americans back to work - without tracking‍

London and Boston - Researchers at health science company ZOE in collaboration with Massachusetts General Hospital, King’s College London, and the University of Nottingham have developed an artificial intelligence diagnostic that can predict whether someone is likely to have COVID-19 based on their symptoms. The initial phase of the research is now published in the leading medical journal, Nature Medicine. 

The AI model uses data from the COVID Symptom Study app, which in just six weeks has grown to over 3 million people reporting their health to help fight the epidemic. The model is able to predict COVID-19 infection without patients having to be tested, by comparing them with people who have used the app to share their symptoms and the results of traditional COVID tests. Two clinical trials are due to start shortly in both the US and the UK. The diagnostic is a not for profit initiative which cannot completely replace clinical tests, but may have great promise for populations where access to testing is limited. The app does not track location or trace people.

More than 3.3 million people globally have used the COVID Symptom Study app to report daily on their health status, whether they feel well or have any new symptoms such as persistent cough, fever, fatigue and loss of taste or smell (anosmia). In the UK, the data is being used to help inform scientific decision making by the National Health Services of England, Wales and Scotland. Following clinical trials, the hope is digital diagnoses through an app could play a crucial role in aiding us out of lockdown and preventing a second wave.

In the study published today in Nature Medicine, the researchers analysed data gathered from 2.5 million people in the US and UK who had been regularly logging their health status in the app, around a third of whom had logged symptoms associated with COVID-19. Of participants in the US and the UK, 18,374 reported having had a test for coronavirus, with 7,178 people testing positive.

The research team investigated which symptoms known to be associated with COVID-19 were most likely to be associated with a positive test. The study demonstrates the wide range of symptoms caused by COVID compared to cold and flu, and the danger of focusing only on fever and cough as the world looks to reopen without reigniting the epidemic.  Loss of taste and smell (anosmia) was particularly striking, with two thirds of users testing positive for coronavirus infection reporting this symptom compared with just over a fifth of the participants who tested negative. The findings suggest that anosmia is a stronger predictor of COVID-19 than fever, supporting anecdotal reports of loss of smell and taste as a common symptom of the disease.

The researchers then created a mathematical model that predicted with nearly 80% accuracy whether an individual is likely to have COVID-19 based on their age, sex and a combination of four key symptoms: loss of smell or taste, severe or persistent cough, fatigue and skipping meals. Applying this model to the entire group of over 800,000 app users experiencing symptoms predicted that just under a fifth of those who were unwell (17.42%) were likely to have COVID-19 at that time. 

The team is now focused on launching two clinical trials to test more sophisticated AI models to predict COVID based on just two days of symptoms. One trial planned at Massachusetts General Hospital is focused on high risk populations in Boston. Around 5,000 people will be tested for antibodies at the start of the trial, they will use the app daily, and then be retested when showing symptoms. The app will be launched in Spanish as part of this effort. A second trial with King’s College London is due to start shortly in the UK. 

Combining this AI prediction with widespread adoption of the COVID Symptom Study app could help to identify those who are likely to be infectious as soon as the earliest symptoms start to appear, focusing tracking and testing efforts where they are most needed and so helping us to navigate reopening the economy without triggering a resurgence of the virus.‍

Jonathan Wolf, CEO of ZOE said, “We are really delighted that this not for profit initiative has seen such success. This is the first model of its kind that can predict COVID in the community. We set up Zoe to use machine learning to help solve some of the biggest health issues we face. These initial results suggest that artificial intelligence diagnosis can help significantly without controversial privacy trade-offs.”‍

Dr. Andrew Chan, who is leading the research at Massachusetts General Hospital, said, “If we want to reopen our society again, then early identification of who has the virus is the biggest challenge we face. In the absence of widespread, reliable testing for coronavirus, symptom monitoring is a simple, cheap way to help people know whether or not they are likely to be infected. It is also an essential tool to monitor and prevent the spread of the disease across the US as measures are relaxed. Re-opening without testing runs the risk of a second wave of epidemic”‍

Professor Tim Spector, King’s College London said, “Our results suggest that loss of taste or smell is a key early warning sign of COVID-19 infection and should be included in routine screening for the disease. We strongly urge governments and health authorities everywhere to make this information more widely known, and advise anyone experiencing sudden loss of smell or taste to assume that they are infected and follow local self-isolation guidelines.”

‍Additional notes:

• Find the full paper here: C. Menni et al. (2020) Real time tracking of self-reported symptoms to predict potential COVID-19 infection
• See https://covid.joinzoe.com/us/data for US data and  covid.joinzoe.com/data for UK data.
• For more information about the app or to request an interview with one of the research team, please contact press@joinzoe.com
• ‍The app is available to download from the Apple App Store and Google Play Store.
• Daily research updates and data can be found at covid.joinzoe.com/
  

About ZOE

ZOE is a healthcare science company using data-driven research to tackle the world’s health issues. By using machine learning combined with digital technologies like mobile phones, ZOE enables large-scale scientific studies to tackle issues like COVID-19, inflammation and the impact of nutrition on health. Located in London and Boston, ZOE was founded by Professor Tim Spector of King’s College London, machine learning leader Jonathan Wolf and entrepreneur George Hadjigeorgiou. ZOE has carried out the largest nutritional studies of their kind in the world, and was named one of the Deloitte Fast 50 Rising Stars in 2019 for the company’s contribution to science enabled by technology and machine learning. 

For more information on ZOE’s mission and science visit www.joinzoe.com.‍

About Massachusetts General Hospital‍

Massachusetts General Hospital, founded in 1811, is the original and largest teaching hospital of Harvard Medical School. The MGH Research Institute conducts the largest hospital-based research program in the nation, with an annual research budget of more than $925 million and comprises more than 8,500 researchers working across more than 30 institutes, centers and departments. 

In August 2018 the MGH was once again named to the Honor Roll in the U.S. News & World Report list of "America’s Best Hospitals."‍

About King’s College London‍

King's College London is one of the top 10 UK universities in the world (QS World University Rankings, 2018/19) and among the oldest in England. King’s has more than 31,000 students (including more than 12,800 postgraduates) from some 150 countries worldwide, and some 8,500 staff.

Since our foundation, King’s students and staff have dedicated themselves in the service of society. King’s will continue to focus on world-leading education, research and service, and will have an increasingly proactive role to play in a more interconnected, complex world. Visit our website to find out more about Vision 2029, King’s strategic vision for the next 12 years to 2029, which will be the 200th anniversary of the founding of the university.  

World-changing ideas. Life-changing impact. kcl.ac.uk

About the University of Nottingham

The University of Nottingham is a research-intensive university with a proud heritage, consistently ranked among the world's top 100. Studying at the University of Nottingham is a life-changing experience and we pride ourselves on unlocking the potential of our 44,000 students - Nottingham was named both Sports and International University of the Year in the 2019 Times and Sunday Times Good University Guide, was awarded gold in the TEF 2017 and features in the top 20 of all three major UK rankings.

We have a pioneering spirit, expressed in the vision of our founder Sir Jesse Boot, which has seen us lead the way in establishing campuses in China and Malaysia - part of a globally connected network of education, research and industrial engagement. We are ranked eighth for research power in the UK according to REF 2014. We have six beacons of research excellence helping to transform lives and change the world; we are also a major employer and industry partner - locally and globally.