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Startup Spotlight: Leap Metrics Champions Data-Driven Healthcare 

Snowflake

In this edition, learn how Srini Gorty, Founder and CEO of Leap Metrics, turned his first-hand experience with healthcare data difficulties into a passion for making healthcare data an active, vital piece of every patient and provider interaction. Srini, what inspires you as a founder? What prompted you to start Leap Metrics?

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How DataOS Reinvigorates Analytics for Healthcare

The Modern Data Company

Prevention and early intervention are essential to building an effective healthcare approach that supports patients from start to finish. Although this is the ideal approach, many healthcare organizations struggle to operationalize their data and see results from new technology investments. DataOS can address all these challenges.

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How Healthcare and Life Sciences Can Unlock the Potential of Generative AI

Snowflake

These are just a few examples of how generative AI and large language models (LLMs) are transforming the healthcare and life sciences (HCLS) industry. Generative AI uses neural networks and deep learning algorithms from LLMs to identify patterns in existing data to generate original content. Here are some examples for each subsector.

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The Present and Future of AI in Healthcare

Snowflake

Over 500 healthcare AI algorithms have been approved by the U.S. The projected global market size of AI-based healthcare solutions will exceed $208 billion by 2030, according to Biospace. AI’s foothold in healthcare The reason for these numbers is that healthcare can benefit from what AI actually does on a day-to-day basis.

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No Average Patient – Leveraging Data for Precision Healthcare

Cloudera

The evolution of healthcare has come a long way since local physicians made house calls and homespun remedies were formulated using items from the kitchen spice rack. Today’s healthcare is driven as much by the promise of emerging technologies centered on data processing and advanced analytics as by developing new and specialized drugs.

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How Real-time Healthcare Analytics Helps Improve Patient Care

Striim

This is an example of real-time healthcare analytics in action. However, things don’t always sail this smoothly in the healthcare industry. Real-time healthcare analytics helps make processes more connected by ingesting large amounts of aggregated data and providing useful insights.

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8 Healthcare Machine Learning Project Ideas for Practice in 2023

ProjectPro

No doubt, machine learning algorithms do better at disease diagnosis, but it is still far from replacing doctors. Let us look at how machine learning is revolutionizing the healthcare sector. A survey conducted by the Harvard Business Review found that over 300 healthcare executives felt problems with patient engagement.