Rational vaccine design, especially vaccine antigen identification and optimization, is critical
to successful and efficient vaccine development against various infectious diseases …

Background An adverse drug event (ADE) is any unfavorable effect that occurs due to the
use of a drug. Extracting ADEs from unstructured clinical notes is essential to biomedical text …

Abstract Background Electronic medical records (EMRs) contain a wealth of information
related to breast cancer diagnosis and treatment. Extracting relevant features from these …

The safety of marketed drugs is an ongoing concern, with some of the more frequently
prescribed medicines resulting in serious or life-threatening adverse effects in some …

Genes and proteins form the basis of all cellular processes and ensure a smooth functioning
of the human system. The diseases caused in humans can be either genetic in nature or …

As more drugs are developed and the incidence of polypharmacy increases, it is becoming
critically important to anticipate potential DDIs before they occur in the clinic, along with …

While computational methods offer great potential in predicting drug-drug interactions
(DDIs), such predictions as of yet have limited utility in supporting clinical decision-making; …

Pharmacovigilance plays an important role in monitoring safety of pharmaceutical products.
There is an abundance of unstructured data available in social media and online reviews …

This chapter will provide an overview of some of these new developments including big
data, artificial intelligence, machine learning, and deep learning as they pertain to drug …

Adverse drug events (ADEs) are the fourth leading cause of death in the US and cost billions
of dollars annually in increased healthcare costs. However, few machine-readable …