Globally, providing quality, equitable healthcare by accelerating patient access to new,
promising health technologies while balancing the impact of their increased expenditures …

Earlier this year, the FDA and PhUSE cast their own wide net to solve common informatics
needs and challenges by calling on all interested parties from across the pharmaceutical …

Informatics success in the drug development arena. These technologies have significantly
increased the speed and breadth of research processes that may be implemented …

The confluence of big data, artificial intelligence (AI), and machine learning (ML) has led to a
paradigm shift in how innovative medicines are developed and healthcare delivered. To fully …

Introduction: The conventional one-drug-one-target-one-disease drug discovery process
has been less successful in tracking multi-genic, multi-faceted complex diseases. Systems …

Technology has long been a driver of innovation and improvement in drug discovery
(Gershell and Atkins, 2003; Pina, et al., 2009). Advancements within fields such as chemical …

The integration of artificial intelligence (AI) into drug discovery and development has
ushered in a transformative era in pharmaceutical research. The research explores the …

The tremendous expansion of data analytics and public and private big datasets presents an
important opportunity for pre-clinical drug discovery and development. In the field of life …

Background & Aims: The United States Food and Drug Administration (FDA) regulates a
broad range of consumer products, which account for about 25% of the United States …

Background: The United States (US) ranks high, nationally, in opioid consumption. The
ongoing increase in the misuse and mortality amid the opioid epidemic has been …