Artificial intelligence (AI) has the potential to revolutionize the drug discovery process,
offering improved efficiency, accuracy, and speed. However, the successful application of AI …

Upon a diagnosis, the clinical team faces two main questions: what treatment, and at what
dose? Clinical trials' results provide the basis for guidance and support for official protocols …

The purpose of this research is to identify and evaluate the technical, ethical and regulatory
challenges related to the use of Artificial Intelligence (AI) in healthcare. The potential …

As the number of determined and predicted protein structures and the size of druglike 'make-
on-demand'libraries soar, the time-consuming nature of structure-based computer-aided …

The new coronavirus SARS-COV-2, which emerged in late 2019 from Wuhan city of China
was regarded as causing agent of the COVID-19 pandemic. The primary protease which is …

The drug discovery and design process has been significantly transformed by the integration
of data science, artificial intelligence (AI), green chemistry principles, and affordable …

Sažetak Introduction: Artificial intelligence has been applied in various fields throughout
history, but its integration into daily life is more recent. The first applications of AI were …

The evolvement of COVID-19 vaccines is rapidly being revolutionized using artificial
intelligence-based technologies. Small compounds, peptides, and epitopes are collected to …

Artificial neural networks (ANNs) ability to learn, correct errors, and transform a large amount
of raw data into beneficial medical decisions for treatment and care has increased in …

The pharmaceutical sector has recently witnessed a transformative improvement and shift
toward artificial intelligence (AI) in its drug and pharmaceutical delivery process and …