Latest Listicles

Some genetic diseases, like sickle cell anemia, are hereditary and present at birth. Others can be caused by spontaneous mutations, either arising from errors in DNA replication or exposure to environmental factors.

This listicle explores four ways that AI and ML are accelerating the biopharmaceutical lifecycle and two big ways that companies are starting to think about their data differently.

By taking a multidisciplinary approach that integrates engineering, electronics and nanotechnology with state-of-the-art chemistry and molecular diagnostics tools, we are entering a new phase of personalized medicine. Download this listicle to learn more about the four top trends in personalized medicine.

According to the World Health Organization (WHO), cancer is a leading cause of death worldwide. Almost one in six deaths were attributable to cancer in 2020, and the incidence rate has been rising. Furthermore, recent estimates predict that as many as one in two people could develop a form of cancer in their lifetime.

Download this listicle to learn about developments in immunotherapy, AI/machine learning and cancer vaccines.

Deciding to implement ontologies into your data management practices can be daunting and a difficult sell to business stakeholders. This article outlines the challenges and offers 10 guidelines for kickstarting your ontologies journey.

Download this listicle to learn more about the technologies that have advanced vaccine design including reverse vaccinology 2.0, comparative and subtractive genomics, immunoproteomics and immunopeptidomics, and computational approaches.

This listicle presents AnIML — an open XML-based, vendor-neutral and human-readable file format that can be used to store data from different analytical instruments. This facilitates the achievement of FAIR (i.e., findable, accessible, interoperable and reusable) data which is a prerequisite for proper data management, data stewardship and a successful digital transformation strategy.

This listicle will explore five key risk factors pharmaceutical facilities need to understand, which they can then ultimately renovate to improve output.

Download this listicle to learn more about the importance of drug kinetics, key experimental techniques and computational modeling tools.