Dec 17, 2020

AI can power the next generation of personalised healthcare

AI
ML
healthcare
Alan Payne
4 min
The ability to offer a personalised experience hinges on collecting and analysing data – and the healthcare industry is no different
The ability to offer a personalised experience hinges on collecting and analysing data – and the healthcare industry is no different...

In recent years, personalised experiences have become commonplace in many aspects of life, from retailers recommending certain products based on your online purchasing history, to streaming platforms sharing recommended shows based on what you've most recently watched. The ability to offer a personalised experience hinges on collecting and analysing data – and the healthcare industry is no different.  

We are now able to monitor our own heath very easily – through wearable devices – in a more detailed and personalised way than ever before. In fact, the pharma industry is also making more effective use of patient data collection. For example, to design individualised therapies and treatments that will help predict and manage health conditions amongst certain patient groups more accurately. 

While the industry has made significant progress in this area, there is more to be done before we can say that healthcare or medicine is tailored for the requirements of each person. To reach that point, huge quantities of patient data is needed – beyond what can be collated or analysed by manual processes today. Advanced technology like AI and machine learning is therefore critical to help solve this problem, by quickly and efficiently managing the ‘data-boom’ that healthcare is experiencing with automated solutions while being cognisant to the particular sensitivities and robust and privacy requirements associated with healthcare data.    

Luckily, we are in a position where this technology is already available to us. We just need to apply it in the right manner to take full advantage of its use and the insights it can provide. From there, the potential to save lives and revolutionise healthcare as we know it is huge.  

Applying patient data

It’s fair to say that genuinely personalised medicine at scale is on the horizon, and AI is playing a key role in getting there. The data that exists, such as genetic information and electronic patient records of their medical history, have provided healthcare professionals a gold mine of data to gather greater insight into individual patients and their conditions. With this, they can use machine learning to identify trends, patterns and anomalies in the data that can help experts make better-informed decisions. 

Data analysis is fundamental to help personalise clinical trials, in comparison to the traditional approach, where lots of different people are given the same drug or treatment and results are determined using a statistical approach, focusing on how the majority react. This is not a ‘personalised’ solution, as every human being has a unique genetic make-up and specific biomarkers. Therefore, drug efficacy can differ from person to person – and this should be reflected in the way clinical trials are carried out. 

The importance of a 360-degree patient view

Every person has a unique variation of the human genome. So being able to understand which genetic differences cause a specific illnesses or condition, is key for clinicians to predict what health issues a person may suffer from and prevent it from developing.

To be able to provide personalised medicine to this extent, a full view of every patient must be available. However, the ability to do this depends on being able to collect, map and analyse insights from vast amounts of data across disparate sources, which importantly, requires the help of technology. For context, it would take the equivalent of the sun’s output power for a whole week just to model a single human’s genome. Clearly, personalised healthcare at scale isn’t a manual undertaking.  

AI is crucial for the next level of personalisation

This is where AI can offer huge benefits, by solving the key challenges healthcare providers face when it comes to big data. With AI and machine learning capabilities, pharma companies can collect, store and analyse large data sets at a far quicker rate than by manual processes. This enables them to carry out research faster and more efficiently, based on data about genetic variation from many patients, and develop targeted therapies effectively. In addition, it gives a clearer view on how specific groups of patients with certain shared characteristics react to treatments, helping to precisely map the right quantities and doses of treatments to prescribe. 

As a result, clinicians can provide a better level of care to patients. In an ideal world, we want to prevent disease, and by having more information about why, how and in which person diseases develop, we can introduce preventative measures and treatments much earlier, sometimes even before a patient starts to show symptoms. 

Evidently, personalised medicine has the potential to improve and even save lives. AI and machine learning are a driving force behind making future breakthroughs. There are still many challenges that lie ahead for personalised medicine, and still a way to go for it to be perfected, but as AI becomes more widely adopted in medicine, a future of workable, effective and personalised healthcare will certainly be achievable.  

By Alan Payne, CIO at Sensyne Health 

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Jun 18, 2021

Microsoft: Building a secure foundation to drive NASCAR

Microsoft
NASCAR
3 min
Racing fans can expect the ultimate virtual experience as a result of the partnership with Microsoft and NASCAR

Microsoft is a key partner of The National Association for Stock Car Auto Racing (NASCAR) and together they are driving ahead to create an inclusive and immersive new fan experience (FX).

These long-term partners have not only navigated the challenges posed by the COVID-19 pandemic with the use of Microsoft Teams and Microsoft 365, but are now looking to a future packed with virtual events to enhance the FX, well beyond NASCAR’S famous Daytona racetrack. 

“Together, we've created a secure environment that's allowed for collaboration, but the future is all about the fans”, said Melinda Cook, General Manager for Microsoft South USA Commercial Business, who cited a culture of transparency, passion, adaptiveness, and a growth mindset as to why this alignment is so successful.”

“We've partnered to create a fluid, immersive experience for the users that is supported by a secure foundation with Microsoft in the background. We are focused on empowering and enabling customers and businesses, like NASCAR, to reach their full potential. We do this with our cloud platform which provides data insights and security.”

“Our cloud environment allows NASCAR to move forward with their digital transformation journey while we are in the background,” said Cook who highlights that Microsoft is helping NASCAR

  • Empower employees productivity and collaboration
  • Improve fan engagement and experience
  • Improve environment security and IT productivity
  • Improve racing operations

 

Microsoft Teams, which is part of the Microsoft 365 suite, enabled employees to work remotely, while staying productive, during the pandemic. “This allowed people to provide the same level of productivity with the use of video conference and instant messaging to collaborate on documents. Increased automation also allows the pit crews, IT, and the business to focus on safety, racing operations, and on the fan experience,” said Cook.

“We have started to innovate to create a more inclusive fanbase, this includes using Xbox to give people the experience of being a virtual racer or even leveraging some of the tools in Microsoft Teams to have a virtual ride along experience.”

“These environments are how we create a more inclusive and immersive experience for the fans. We're working on a virtual fan wall which allows people from new locations to participate in these events,” said Cook, who pointed out Microsoft was also helping bring legacy experiences alive from NASCAR’s archives. 

“At Microsoft we can take it one level further by letting fans know what it's like to see the pit crew experience, the data and all the behind-the-scenes action. We will continue to improve automation with machine learning and artificial intelligence, from marketing to IT operations to finance to racing operations,” said Cook.

Christine Stoffel-Moffett, Vice President of Enterprise Technology at NASCAR, said: “Microsoft is one of our key partners. They have been instrumental in helping the NASCAR enterprise technology team re-architect our Microsoft systems to ensure an advanced level of security across our environment, contribute to our business outcomes, and focus on fan experience.”

 

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