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The BioBase application
Biobeats
With the United Kingdom facing a mental health crisis,& nbsp; the need for & nbsp; finding a solution has never been so urgent. Dr David Plans, who has already helped the NHS launch one of the first applications of self-reporting chronic diseases, think the solution could be with AI. & Nbsp; He founded BioBeats in 2013 to identify stress patterns using existing sensors in smartphones and handheld devices. . With investors such as Will Smith and Deepak Chopra, BioBeats allows individuals to take preventative measures against mental illness. Using& nbsp; portable sensors & nbsp; badociated with & nbsp; an application as well as a cloud machine learning system to detect, prevent and treat mental disorders. & nbsp; it aims to allow& nbsp; users need to understand how their bodies and minds react to stress and how it affects their work and their personal lives.
Lucy Sherriff: Why is BioBeats important in the current landscape? & Nbsp;
David Plans: & nbsp;By working with the human resources and occupational health departments in the organizations we serve, we help them put in place preventative strategies to anticipate and contain churn and, in general, better take into account the well-being of people. to be mental of their employees.
LS: What was the motivation for launching BioBeats? Is there a personal story?
DP: WWhich prompted me to start the research that eventually led me to train BioBeats, 15 years ago, was suffering from a heart attack at the Brussels airport, caused by the stress, burnout and burnout. At that time, even though I had been told that there was nothing that was not going physically, I was doing all the tests under the sun and I noticed that there was really nothing physically wrong with me. Since I was working in AI, I started to build algorithms that could have predicted this event for me, and that could have helped me lead a better life in order to improve my life. to avoid. Now I would like that we can do it on a large scale, by helping the & nbsp; hundreds of millions of people who suffer from unmanaged mental health problems and poorly designed professional lives.
LS: There are a lot of startups in the field of mental health – what is your USP?
DP: & nbsp;Most startups in the mental health sector, such as Headspace and Calm, focus solely on providing people with content that encourages them to stay alert or consider aspects of cognitive-behavioral therapy. Very few focus on the quantification of mental health, and none of those who do so covers the many variables and data that make up the entire picture of mental health. We collect physiological, neurological, and psychological data from a variety of data points, from cardiovascular disease to movement, from brain function to several validated measures of depression and anxiety, among others. The computer models that we build, at the level of machine learning, are an image of the individual as a whole and their mental health. We then use these models to personalize their learning journey and optimize their mental health, or restore it, if they suffer from anxiety and / or depression.
LS: What kind of challenges did you encounter?
DP: & nbsp;When we started our research, almost no one outside of computer psychiatry even talked about evaluating mental health and its possibilities, one day, to become a real-time pursuit. The sensors were not there. The technology that could have helped was reserved for neuroscience laboratories. This meant that globally, our biggest challenge at the time was technology. We spent several years writing algorithms that could take standard technologies, such as portable sensors designed to measure the fitness of an athlete, and collect their data to better understand the activity of the autonomic nervous system and its link with stress, for example. The second biggest challenge we faced was stigma. Nobody wanted to talk about the idea that we could measure mental health in situ, in the workplace. It has changed over the years. We now find that companies have implemented wellness strategies, in part because of the millennial disengagement that has changed attitudes towards a healthy workplace to retain staff, but also partly from A more in-depth debate is taking place at this stage: we should be dealing with mental health globally. Another challenge we faced was figuring out when and how we should be working in B2C as opposed to B2B. At our initial launch on the AppStore, we finally realized that we had a duty of care towards the users of our apps, many of which could suffer from very severe clinical depressions, but we had not put in place of proper referral process. & # 39; have helped to set up care for these people. We started working with companies when we realized that in this environment we could work closely with human resources and occupational health and understand exactly what could and should happen when we found someone who needed help. When we have gathered enough evidence and know that our referral processes are robust, we are returning to a public launch.
LS: How do you work with companies and organizations to deploy your product?
DP: & nbsp;We are already interacting with national health systems and large (and small) companies, as well as public and government agencies, and we believe that we are helping all these types of organizations rethink the future of the workplace. Most organizations in the world still measure productivity using only the data available: P & L and output. Due to platforms like ours, they start seeing data they did not have before and this data will guide the design / redesign of tasks, introduce new measures of productivity, such as flow – from principles of positive psychology – and will modify occupational health in a purely rational way. business reactive to a proactive. We also find that we have an impact on how families, schools and teams of all sizes manage mental well-being.
LS: What is your ultimate goal? And what do you plan for the next five years to achieve this goal?
DP: Our goal is to completely change the perception of mental health around the world to an informed part of global data-driven health, and to provide the world with a platform that can work across services, school systems, platforms of health care delivery and management of the workforce. In other words, to prevent mental suffering on a global scale.
We will lead & nbsp; Randomized efficacy studies on controlled trials on our current application and on wearable devices with large companies over the next 12 months. Over the next six months, we will open in the US and start working with our partners in this country. Over the next 24 months, you will see us reach non-business populations in the app stores. Our ambition is to reach our first million users by the end of 2020 and our first ten million by the end of 2021. After that, we would like to work closely with the government-led health services to introduce data-based mental health in schools. programs around the world, particularly in sectors of society and geographic areas where the stigma of mental health is still very strong and where resources are low.
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As the United Kingdom is facing a mental health crisis, the need to find a solution has never been so urgent. Dr David Plans, who has already helped the NHS launch one of the first applications to declare chronic diseases self-determination, believes the answer could come from AI. He founded BioBeats in 2013 to identify stress patterns using existing sensors in smartphones and handheld devices. With investors such as Will Smith and Deepak Chopra, BioBeats allows individuals to take preventative measures against mental illness. Using Portable sensors coupled with an application, as well as a cloud-based automatic learning system to detect, prevent and treat mental disorders. it aims to allow Users need to understand how their body and mind react to stress and how it affects their work and their personal lives.
Lucy Sherriff: Why is BioBeats important in the current landscape?
David Plans: By working with the human resources and occupational health departments in the organizations we serve, we help them put in place preventative strategies to anticipate and contain churn and, in general, better take into account the well-being of people. to be mental of their employees.
LS: What was the motivation for launching BioBeats? Is there a personal story?
DP: WWhich prompted me to start the research that eventually led me to train BioBeats, 15 years ago, was suffering from a heart attack at the Brussels airport, caused by the stress, burnout and burnout. At that time, even though I had been told that there was nothing that was not going physically, I was doing all the tests under the sun and I noticed that there was really nothing physically wrong with me. Since I was working in AI, I started to build algorithms that could have predicted this event for me, and that could have helped me lead a better life in order to improve my life. to avoid. Now, I would like us to do it on a large scale, helping the hundreds of millions of people who suffer from unmanaged mental health issues and poorly designed professional lives.
LS: There are a lot of startups in the field of mental health – what is your USP?
DP: Most startups in the mental health sector, such as Headspace and Calm, focus solely on providing people with content that encourages them to stay alert or consider aspects of cognitive-behavioral therapy. Very few focus on the quantification of mental health, and none of those who do so covers the many variables and data that make up the entire picture of mental health. We collect physiological, neurological, and psychological data from a variety of data points, from cardiovascular disease to movement, from brain function to several validated measures of depression and anxiety, among others. The computer models that we build, at the level of machine learning, are an image of the individual as a whole and their mental health. We then use these models to personalize their learning journey and optimize their mental health, or restore it, if they suffer from anxiety and / or depression.
LS: What kind of challenges did you encounter?
DP: When we started our research, almost no one outside of computer psychiatry even talked about evaluating mental health and its possibilities, one day, to become a real-time pursuit. The sensors were not there. The technology that could have helped was reserved for neuroscience laboratories. This meant that globally, our biggest challenge at the time was technology. We spent several years writing algorithms that could take standard technologies, such as portable sensors designed to measure the fitness of an athlete, and collect their data to better understand the activity of the autonomic nervous system and its link with stress, for example. The second biggest challenge we faced was stigma. Nobody wanted to talk about the idea that we could measure mental health in situ, in the workplace. It has changed over the years. We now find that companies have implemented wellness strategies, in part because of the millennial disengagement that has changed attitudes towards a healthy workplace to retain staff, but also partly from A more in-depth debate is taking place at this stage: we should be dealing with mental health globally. Another challenge we faced was figuring out when and how we should be working in B2C as opposed to B2B. At our initial launch on the AppStore, we finally realized that we had a duty of care towards the users of our apps, many of which could suffer from very severe clinical depressions, but we had not put in place of proper referral process. & # 39; have helped to set up care for these people. We started working with companies when we realized that in this environment we could work closely with human resources and occupational health and understand exactly what could and should happen when we found someone who needed help. When we have gathered enough evidence and know that our referral processes are robust, we are returning to a public launch.
LS: How do you work with companies and organizations to deploy your product?
DP: We are already interacting with national health systems and large (and small) companies, as well as public and government agencies, and we believe that we are helping all these types of organizations rethink the future of the workplace. Most organizations in the world still measure productivity using only the available data: income statement and result. Due to platforms like ours, they start seeing data they did not have before and this data will guide the design / redesign of tasks, introduce new measures of productivity, such as flow – from principles of positive psychology – and will modify occupational health in a purely rational way. business reactive to a proactive. We also find that we have an impact on how families, schools and teams of all sizes manage mental well-being.
LS: What is your ultimate goal? And what do you plan for the next five years to achieve this goal?
DP: Our goal is to completely change the perception of mental health around the world to an informed part of global data-driven health, and to provide the world with a platform that can work across services, school systems, platforms of health care delivery and management of the workforce. In other words, to prevent mental suffering on a global scale.
We will conduct randomized efficacy studies on controlled trials on our current application and wearable devices with large companies over the next 12 months. Over the next six months, we will open in the US and start working with our partners in this country. Over the next 24 months, you will see us reach non-business populations in the app stores. Our ambition is to reach our first million users by the end of 2020 and our first ten million by the end of 2021. After that, we would like to work closely with the government-led health services to introduce data-based mental health in schools. programs around the world, particularly in sectors of society and geographic areas where the stigma of mental health is still very strong and where resources are low.
