OpenAI acquired Torch, a healthcare startup that unifies lab results, medications and recordings from doctor visits, as the ...

Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

Health tech company Elation Health has embedded Anthropic's Claude into its electronic health record to power its ...

In the life sciences and healthcare industries, the speed of innovation impacts how soon new products, medications and ...

With the flood of data pouring in from across the healthcare industry there are still a lot of questions surrounding how best to make sense of said data, and where to store the heaps of new ...

According to McKinsey researchers, generative AI (GenAI) has the power to "unlock a piece of the unrealized $1 trillion of improvement potential present in the [healthcare] industry." Underfunded and ...

Big data, machine learning, and interoperability are all topics we’ve been hearing about for many years in health tech. But in fact these banner ideas are deeply intertwined with one another. Machine ...

Some disorders can be extremely challenging to diagnose because symptoms cary widely between patients. One example is common variable immunodeficiency (CVID) disease, in which antibodies are deficient ...

Applying Machine Learning (ML) to physiological data poses several challenges. While ML can be effectively used to model well-defined systems, applying it to a system as complex as the human body ...