Volume 4: How Machine Learning is Being Leveraged to Analyze Real-World Data

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.