Multitask deep learning has emerged as a powerful tool for computational drug discovery.
However, despite a number of preliminary studies, multitask deep networks have yet to be …

Drug discovery has undergone significant changes over the past decade thanks to artificial
intelligence (AI). To improve the efficiency and precision of medication research and …

Thanks to the fast improvement of the computing power and the rapid development of the
computational chemistry and biology, the computer-aided drug design techniques have …

How artificial intelligence is changing drug discovery - Document - Gale OneFile: Health
and Medicine Use this link to get back to this page. Copy Skip to Content Library Menu …

With the dramatic development of high-performance computing, the emergence of better
algorithms and the accumulation of large amounts of chemical and biological data, computer …

Over the past decade, the amount of biomedical data available has grown at unprecedented
rates. Increased automation technology and larger data volumes have encouraged the use …

The global spread of COVID-19 has raised the importance of pharmaceutical drug
development as intractable and hot research. Developing new drug molecules to overcome …

Increases in throughput and installed base of biomedical research equipment led to a
massive accumulation of-omics data known to be highly variable, high-dimensional, and …

The advancement and progress in technology and related techniques have created an
opportunity for progress in many scientific fields and various industries. Machine learning …

Drug discovery is a cost and time-intensive process that is often assisted by computational
methods, such as virtual screening, to speed up and guide the design of new compounds …