Nature

Optimizing machine learning for network inference through comparative analysis of model performance in synthetic and real-world networks

In an era marked by exponential data growth and pervasive digital connectivity, understanding the intricate structure of networks has become a critical challenge across various domains. Whether ...
MedCity News

Real-World Evidence Meets Machine Learning: What It Takes to Future-Proof Evidence Generation

Real-world evidence (RWE) has become a crucial driver of the pharmaceutical and biotechnology industries in recent years. In fact, RWE is now included in 70 percent of new drug and biologic regulatory ...
Nature

A call for an industry-led initiative to critically assess machine learning for real-world drug discovery

Machine learning (ML) is driving exciting innovations in drug discovery, but we need to be mindful of the circumstances that set this application apart. Unlike other fields with fit-for-purpose ...
Quanta Magazine

What Is Machine Learning?

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...