Healthcare Digital October 2021 | Page 130

Atos
interact with disease . These advances in technology have accelerated the pace of R & D to levels not possible five years ago . It ’ s amazing to think about the advances they could bring within 10 years .”
What is precision medicine ? One area in which Atos is working with Dell Technologies is exploring how they can together help to push new boundaries in precision medicine .
“ In many ways we already have the building blocks for precision medicine : connectivity , secure data sharing , compute processing at the edge and in the cloud . Enabling precision healthcare requires the ability to derive information from multiple data sources such as large imaging datasets , streaming data from medical devices and data held in shared patient records . We can then leverage the technological advances , tools and techniques in areas such as AI and machine learning ( ML ). We are enabling the amalgamation of ‘ big data ’ and ‘ streaming data ’ with smart data layers that allow us to combine data from a multitude of devices , such as the smart-watch to the most sophisticated medical imaging systems ,” says Lewis .
“ This is one of the reasons why precision healthcare is being accelerated . It ' s all about making sure you ' ve got access to the right data ; and it ' s about capturing that data and ingesting it in a way that gives certainty around accuracy , privacy and security .
“ By working with Dell Technologies , we can now architect platforms based on smart data fabrics that can be leveraged across the ecosystem . This includes a focus on the customer experience ; for example , clinicians can use secure mobile apps to get early notification about changes in people ' s conditions . The future of precision
healthcare is incredibly exciting and we are only at the start of the journey .”
How will AI transform healthcare ? In 2020 , Atos set up its HPC , AI and Quantum Life Sciences Centre of Excellence at the Wellcome Genome Campus near Cambridge . “ At the Centre , we are focused on collaborations and investment to explore how advanced technologies can address specific medical conditions and support patients , clinicians and specialists in a way that delivers better healthcare outcomes ,” says Lewis .
“ One example is the detection of skin cancer . We can use AI and ML to look at the images captured from a patient ’ s mobile phone or modern derma-scopes , protect the privacy of the images , and build models and algorithms to provide
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