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Four Reasons Oncology Needs Digital Health Innovation


5๏ธโƒฃ ๐—ฅ๐—ฒ๐˜ƒ๐—ฒ๐—ฟ๐˜€๐—ฒ ๐—ง๐—ฟ๐—ฎ๐—ป๐˜€๐—น๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ณ๐—ผ๐—ฟ ๐——๐—ฟ๐˜‚๐—ด ๐——๐—ถ๐˜€๐—ฐ๐—ผ๐˜ƒ๐—ฒ๐—ฟ๐˜†: This real-world data, analyzed with ๐˜˜๐˜ถ๐˜ข๐˜ฏ๐˜ต๐˜ช๐˜ต๐˜ข๐˜ต๐˜ช๐˜ท๐˜ฆ ๐˜š๐˜บ๐˜ด๐˜ต๐˜ฆ๐˜ฎ๐˜ด ๐˜—๐˜ฉ๐˜ข๐˜ณ๐˜ฎ๐˜ข๐˜ค๐˜ฐ๐˜ญ๐˜ฐ๐˜จ๐˜บ modeling, predicts disease progression and accelerates the development of new targeted combination therapies. This fuels the pipeline for even more innovative digital tools!


Digital health tools, especially those focused on at-home monitoring of chronic diseases, generate a wealth of real-world data that needs to be in the hands of R&D department for technology-driven and AI-enabled drug discovery and design.

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