Conventional drug discovery and development is tedious and time-taking process; because
of which it has failed to keep the required pace to mitigate threats and cater demands of viral …

The incorporation of data analytics in the healthcare industry has made significant progress,
driven by the demand for efficient and effective big data analytics solutions. Knowledge …

Causality has the potential to truly transform the way we solve a large number of real-world
problems. Yet, so far, its potential largely remains to be unlocked as causality often requires …

Progress in dementia research has been limited, with substantial gaps in our knowledge of
targets for prevention, mechanisms for disease progression, and disease-modifying …

The emergence of Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2)
posed a serious worldwide threat and emphasized the urgency to find efficient solutions to …

Drug repurposing, also known as repositioning or reprofiling, has emerged as a promising
strategy to accelerate drug discovery and development. This approach involves identifying …

Drug repurposing is an approach to identify new medical indications of approved drugs. This
work presents a graph neural network drug repurposing model, which we refer to as …

This article provides a comprehensive narrative review of the history of antiepileptic drugs
(AEDs) and their development over time. Firstly, it explores the significant role of serendipity …

Natural language processing (NLP) is an area of artificial intelligence that applies
information technologies to process the human language, understand it to a certain degree …

INTRODUCTION A wide range of modifiable risk factors for dementia have been identified.
Considerable debate remains about these risk factors, possible interactions between them …