To continue to improve life expectancy and quality of life, the discovery of innovative therapies should be among the prime goals of the life sciences. The large majority of the drugs that are discovered and successfully developed to the point of being used by patients come from the drug industry, but publications from this sector are rare among life sciences research publications. Publications...

Aim: Pharmaceutical healthcare is a process comprising knowledge-intensive tasks. Therefore the tools used in management of knowledge are gaining more attention. This paper aims to investigate systems, their implementation, for decision making.
 Method: We have three databases research system pharmaceutical sector. PubMed, Google Scholar and journal websites were search required key terms....

The computer pharmaceutical knowledge bases are effective tools of information support for the organization provision medicines, care and education specialists.
 purpose work іs to substantiate urgency developing base «Pharmaceutical patients with diabetes» increasing number functional tasks blocks medicine management diabetes mellitus, didactic educational system pharmacists in conditions...

Background Inadequate inhaled aerosol device demonstration and technique by health care professionals can lead to poor disease control. The aims of this study were to develop and validate Knowledge of Aerosol Tool (KAT) among registered and unregistered pharmacists and to assess the pharmaceutical care practice among registered pharmacists. Methods The KAT and pharmaceutical care practice que...

This study draws on absorptive capacity theory and organizational learning perspective to examine and elaborate the roles of IT in influencing firm innovation in the alliance network context of pharmaceutical industry. We focused on three types of IT-enabled knowledge capabilities and one specific type of alliance network structure structural holes and examine whether and how they interact to j...

The challenge of recognizing named entities in a given text has been very dynamic field recent years. This is due to the advances neural network architectures, increase computing power and availability diverse labeled datasets, which deliver pre-trained, highly accurate models. These tasks are generally focused on tagging common entities, but domain-specific use-cases require custom not part pr...