Ever present hurdles for the discovery of new drugs for cancer therapy have necessitated
the development of the alternative strategy of drug repurposing, the development of old …

Aims/hypothesis Few studies examine the association between age at diagnosis and
subsequent complications from type 2 diabetes. This paper aims to summarise the risk of …

Data mining technology can search for potentially valuable knowledge from a large amount
of data, mainly divided into data preparation and data mining, and expression and analysis …

Background With the rapid adoption of electronic health records (EHRs), it is desirable to
harvest information and knowledge from EHRs to support automated systems at the point of …

Currently, there are about 7000 identified rare diseases, together affecting 10% of the
population. However, fewer than 6% of all rare diseases have an approved treatment option …

The ability to computationally predict whether a compound treats a disease would improve
the economy and success rate of drug approval. This study describes Project Rephetio to …

This paper provides an overview of recent developments in big data in the context of
biomedical and health informatics. It outlines the key characteristics of big data and how …

Drug repurposing holds the potential to bring medications with known safety profiles to new
patient populations. Numerous examples exist for the identification of new indications for …

Computational drug repositioning or repurposing is a promising and efficient tool for
discovering new uses from existing drugs and holds the great potential for precision …

Although sciences and technology have progressed rapidly, de novo drug development has
been a costly and time-consuming process over the past decades. In view of these …