Volume 4: How Machine
Learning is Being Leveraged
to Analyze Real-World Data
A Collection of 12 Real-World Examples
The artificial intelligence (AI) and machine learning (ML) healthcare market size was valued at $14.09 billion in 2022 and is expected to reach $187.57 billion by 2030 – a more than 13x increase.
The healthcare industry has leveraged AI and ML for various uses including:
- Sifting through large datasets and helping to automate development in drug discovery.
- Using predictive analytics to gain insights from unstructured clinical data and improve patient outcome prediction and population health management.
- Summarizing insights from healthcare visits to help clinicians make better care decisions.
Each day, the life sciences industry finds new and emerging ways to leverage AI/ML to improve outcomes and ultimately, save lives. In the most recent edition of our popular series of real-world cases, we highlight 12 recent examples of the latest and greatest uses of ML and AI in the life sciences industry.
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