Scientific researchers are discovering all kinds of applications for artificial intelligence and machine learning (AI/ML). This listicle will explore how AI/ML is being used in scientific research to accelerate discoveries and improve efficiency.

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.