OpenAI’s ChatGPT system has sent the topic of artificial intelligence through the roof.But so many professionals across industries, including healthcare, do not truly understand how AI works – especially how the different forms of…
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Laboratory medicine aggressively employs new technology to enhance clinical decision-making, disease monitoring, and patient safety. The potential for innovation to transform healthcare systems and laboratory medicine is enormous, and it has the potential to…
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What You Should Know:– Implicity, a leader in remote patient monitoring (RPM) and cardiac data management solutions, released a new SMART on FHIR application to improve interoperability and workflow efficiencies for providers.– The new…
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What You Should Know:– Surgo Health, a new healthcare technology company dedicated to personalized care announced its official launch in Washington, D.C.– Formed as a public benefits company (PBC), Surgo Health is building on the…
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By Shania Kennedy
March 03, 2023 – Researchers at the University of Houston have received a $933,812 grant from the National Cancer Institute (NCI) to develop a computational framework to support collaboration between radiology…
As a health economist, researcher in evidence-based medicine, and consultant to biopharma executives, I am no stranger to data. We all want more of it, to make sense of it, and to use it…
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The following is a guest article by Josh Miller, Co-Founder & CEO at Gradient Health.
As a global society, we have never spent more on healthcare. We have never been more informed. We’ve never been…
There are so many challenges that we are currently facing in the world of healthcare, that possibly adding another one is overwhelming to think about. AI automation is still so new that it’s hard…
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Dr Rocío Acuña Hidalgo, co-founder and CTO at Nostos GenomicsThe sequencing and analysis of human DNA have advanced significantly since the initial draft of a human genome that was published as part of the…
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Deep learning traditionally involves funneling huge data sets into layers of software to produce actionable insights. But when strict privacy requirements control what can appear in the output, machine learning methods have to change.
I…
