The new Microsoft partnership aims to enhance data interoperability with artificial intelligence and machine learning, and accelerate the global transition to precision medicine.
The multi-year effort will focus on developing and implementing next-generation healthcare tools that balance data across silos, improve clinical workflows, and raise standards of care. care, as announced by the partnership.
WHY IT IMPORTANT
Multimodal health datasets are possibly the largest and most complex to structure, analyze, and store.
Sophia Genetics’ data visualization module leverages Microsoft Azure services to provide AI and machine learning capabilities, and provides data management at scale.
Sophia DDM’s AI and machine learning platform for multimodal purposes of analyzing clinical, biological, genomic and scintigraphic data and in the future could provide digital, proteopathological insights and transformation.
It is currently used by hospitals, laboratories, and biological institutions for research in the United States and other countries.
Vendors using Sophia Genetics’ platform on Azure will be able to extend the ability to aggregate multimodal data types to extract insights in existing workflows, according to Sophia Genetics.
The goal is to improve clinical outcomes and make patient care more personalized by connecting organizations – paving the way for precision medicine, said Dr. Jurgi Camblong, co-founder and CEO practices, explained in the company statement.
“Sophia Genetics will help accelerate the transition to a decentralized care model for hospitals, healthcare providers and biologics by disrupting data silos and provisioning,” he said. innovation on a large scale.
The SaaS healthcare company with employees in more than 28 countries provides data insights to support discovery, treatment decisions and drug development efforts, according to the company’s website.
TREND TO BIGGER WOMAN
AI has transformed language and speech analysis, leading to technological process advantages for many industries.
But medicine holds larger changes for AI developers, with a large number of unique features or cues contained in data from a multitude of sources.
According to the recent multimodal Biomedical AI study by Julian Acosta, Guido Falcone, Pranav Rajpurkar and Eric Topol published last month in Nature.
However, developing trust in healthcare AI is key as it guides clinical decision-making. AI has the potential to increase inequality, especially when the source is biased data, such as when the data set is not fully representative of patient populations.
Empowering data tool developers to protect patients and populations is what experts like Dr. Tania Martin-Mercado, digital advisor in healthcare and life sciences at Microsoft, says it will take healthcare AI beyond performance.
“In other words, homogeneous groups of data should be avoided,” she said IT news about healthcare earlier this year in a discussion on addressing equity in healthcare AI.
ON PROFILE
“Sophia Genetics’ mission is to democratize data-driven medicine,” Dr. David C. Rhew, Microsoft’s global chief medical officer, said in the announcement.
“Microsoft is pleased to support this mission by providing secure and scalable cloud infrastructure, along with Sophia Genetics’ advanced artificial intelligence and machine tools and technologies,” he said. Learning can help generate useful insights, which can lead to better health outcomes.”
Andrea Fox is the senior editor of Healthcare IT News.
Email: [email protected]
Healthcare IT News is a HIMSS publication.
