How Machine Learning is Being Leveraged to Analyze Real-World Data
How Machine Learning Strengthens Real-World Data and Disease Identification: 5 Use Cases in 5 Minutes
Machine learning is a powerful tool in the life sciences industry, making evidence generation more efficient and precise and bolstering real-world data (RWD) to identify diseases earlier, trigger timely interventions, and recommend screenings and physician referrals. Our blog series, How Life Sciences is Leveraging Machine Learning: 5 Use Cases in 5 Minutes, explores five recent studies […]
How Machine Learning is Improving Patient Outcomes: 5 Use Cases in 5 Minutes
Across the life sciences industry, machine learning is a powerful tool for analyzing patient data and improving the precision and efficiency of evidence generation. By addressing the limitations of real world data (RWD), machine learning can often enhance the capabilities of RWD to identify diseases earlier, trigger timely interventions, and recommend screenings and physician referrals. […]
How Machine Learning is Being Leveraged to Analyze Real-World Data
How Life Sciences is Leveraging Machine Learning: 5 Use Cases in 5 Minutes
It’s no secret that machine learning is establishing itself as a powerful tool in the healthcare analytics industry. However, there is still some uncertainty around how to employ it. In our editions of Insights & Innovators: 5 Machine Learning Use Cases in 5 Minutes, we will take a look at five recent studies that used […]
Volume 2 – Machine Learning Use Case Booklet: How Machine Learning is Being Leveraged to Analyze Real-World Data
How Machine Learning Can Advance Disease Predictability
In this article with AiThority, Chao Li (AbbVie) and Mike Munsell (Panalgo) discuss how machine learning models and AI technology can enhance our ability to predict disease. As the healthcare landscape evolves and becomes increasingly digital, investments in real-world data (RWD) are skyrocketing, intensifying the need to make sense of large, often unwieldy, data sets. […]
Insights & Innovators: Using Machine Learning to Develop Disease Predictability Models
Q: Dr. Li, can you give some background on your study? A: Recently, our team conducted a study to replicate a previous study using a machine learning approach to predict Hidradenitis Suppurativa (HS) diagnosis. HS is a condition that causes small, painful lumps to form under the skin, usually in areas where your skin rubs […]
Machine Learning Use Case Booklet: How Machine Learning is Being Leveraged to Analyze Real-World Data
Transforming Healthcare Analytics with Machine Learning
In this article with Healthcare Business Today, Zeynep Icten, PhD, (Director of Data Science Solutions at Panalgo) discusses the predictive power of machine learning for healthcare analytics. Click here to read the full article on Healthcare Business Today.