I have detailed below some of the literature and recent developments in economics, public health, epidemiology, big data, causal inference, machine learning, and artificial intelligence that I follow and keep learning about.

Machine Learning and Economics

Machine Learning Methods That Economists Should Know About | Annual Reviews 

How Will Machine Learning Impact Economics? (Guido Imbens, Josh Angrist, Isaiah Andrews) (youtube.com) 

Machine Learning, Electronic Health Record Data, and Public Health

Causal machine learning for predicting treatment outcomes | Nature Medicine

Note: This paper provides a perspective on causal machine learning (Causal ML) for predicting treatment outcomes in medicine, focusing on personalized patient care and treatment effectiveness. One of the best papers to explain the use of ML in healthcare analytics.

JMIR Cardio - Use of Machine Learning for Early Detection of Maternal Cardiovascular Conditions: Retrospective Study Using Electronic Health Record Data 

Machine learning and algorithmic fairness in public and population health | Nature Machine Intelligence