A number of trends have paved the way for increasing adoption of machine learning (ML) in healthcare. We’re capturing more volume and types of health data than ever. Software for ML are evolving fast. Hardware advances have made the computing power cheaper, more agile, modular and scaleable than ever. However, despite these significant advances, adoption … Continue reading Challenges to applying ML in healthcare