News and reflections from the world of AI

Overview of digital pathology and its benefits

  Digital pathology has become widespread across the world in more than just academic labs. Contract research organizations (CROs) and pharmaceutical companies reap the benefits of digitization due to the nature of their work which is managing and analyzing millions of samples while seeking to reduce cost and time to develop viable drug candidates. Clinical labs on the other hand find it ...

Introduction to AI in digital pathology

Deep learning (DL) is a subset of machine learning (ML) which falls under the category of artificial intelligence (AI). The formation of layers is not only pervasive in the nomenclature of these different types of computer intelligence but also in their architecture. DL is based on artificial neural networks, a layered and connected system of algorithms receiving and processing information.

Introduction to artificial neural networks part 2

How do neural networks learn? In our previous article we covered the basics of artificial neural networks (ANNs), how they process data, and what convolutional neural networks (CNNs) are.