The increasing availability of biomedical data from large biobanks, electronic health records,
medical imaging, wearable and ambient biosensors, and the lower cost of genome and …

Literature review articles are essential to summarise the related work in the selected field.
However, covering all related studies takes too much time and effort. This study questions …

The digital twin is a crucial technology for realizing smart manufacturing and industrial digital
transformation, which has received extensive attention and research from industry and …

Recently, using artificial intelligence (AI) in drug discovery has received much attention
since it significantly shortens the time and cost of developing new drugs. Deep learning (DL) …

One of the most promising technologies that is driving digitalization in several industries is
Digital Twin (DT). DT refers to the digital replica or model of any physical object (physical …

Digital twins are quickly becoming a popular tool in several domains, taking advantage of
recent advancements in the Internet of Things, Machine Learning and Big Data, while being …

As simulation is playing an increasingly important role in medicine, providing the individual
patient with a customised diagnosis and treatment is envisaged as part of future precision …

Health digital twins are defined as virtual representations (“digital twin”) of patients (“physical
twin”) that are generated from multimodal patient data, population data, and real-time …

Over the last few decades, our digitally expanding world has experienced another significant
digitalization boost because of the COVID-19 pandemic. Digital transformations are …

Health digital twins (HDTs) are virtual representations of real individuals that can be used to
simulate human physiology, disease, and drug effects. HDTs can be used to improve drug …