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\n Following the launch of its Marketplace in 2022, Hyris continues to leverage the AI capabilities of its genetic testing platform, renowned for its adaptability, to support both researchers and kit developers worldwide. New onboarding programs enable emerging players to accelerate their go-to-market, as well as established manufacturers and diagnostic providers to integrate their portfolio with ease, maximizing their cost-per-value strategy. <\/p>\n
Even if AI tools<\/strong> promise a disruption in the way researchers seek and synthesize useful new substances and tests, we are far from a wholesale revolution yet, also because of the lack of data available<\/strong> to feed centralized AI systems. This poses several challenges to researchers and kit developers in designing and delivering new testing solutions.<\/p>\n Hyris<\/strong><\/a>\u00a0<\/strong>keeps true to its vision, to democratize genetics and health insights, marking a new stage in its partnership policies with newfangled onboarding programs specifically designed to further support researchers and kit developers at every stage.\u00a0<\/p>\n \u201cGenetic test developing and onboarding has always been faced with inherent challenges, from resource staffing to competence integration, from research funding to ensuring adequate testing volumes,<\/i>\u201d states Angelica Baccanelli, Head of Quality & Regulation at Hyris<\/strong>. \u201cAdapting to variability in the compliance environment, applying requirements to molecular assays, and developing the proper documentation for the go-to-market can all pose additional risks.<\/i>\u201d\u00a0<\/p>\n Amongst many challenges, technological access gaps<\/strong> are still the greatest hindrance to the development of new solutions across different industries. Hyris stands to change this for the better, by leveraging the AI capabilities of its unique genetic testing platform,<\/strong>\u00a0renowned worldwide<\/a> for its AI capabilities together with its unique features of portability, accessibility and versatility.<\/p>\n \u201cResearchers and kit developers know well how hard delivering new analytical solutions can be,<\/i>\u201d continues Baccanelli. \u201cThat\u2019s why we increased our commitment to support both emerging players and established manufacturers performing beyond their current analytical capability via new onboarding programs.\u201d\u00a0<\/i>Baccanelli goes on, depicting the advantages of such an inclusive approach. \u201cWe provide access to our technology and support developers through various stages of the development of new tests via proper education and technical assistance. This win-win approach enables any player to quickly integrate their portfolio with new products and solutions, maximizing their cost per value strategy<\/i>.\u201d<\/p>\n
\n LONDON, England, September 27, 2023 (Newswire.com)
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\n <\/strong>In the age of early mass dissemination of accessible AI solutions, many specialists and researchers from different scientific, technical and academic fields claim that\u00a0AI has not yet gone far enough. According to a\u00a0recent Editorial published in Nature<\/a>, several research fields<\/strong> which need accurate and accessible data won\u2019t achieve their full potential until they integrate adequate machine-learning systems<\/strong>.\u00a0<\/p>\n