Computational approaches streamlining drug discovery
AV Sadybekov, V Katritch - Nature, 2023 - nature.com
Computer-aided drug discovery has been around for decades, although the past few years
have seen a tectonic shift towards embracing computational technologies in both academia …
have seen a tectonic shift towards embracing computational technologies in both academia …
Connected healthcare: Improving patient care using digital health technologies
Now more than ever, traditional healthcare models are being overhauled with digital
technologies of Healthcare 4.0 increasingly adopted. Worldwide, digital devices are …
technologies of Healthcare 4.0 increasingly adopted. Worldwide, digital devices are …
Generative machine learning for de novo drug discovery: A systematic review
DD Martinelli - Computers in Biology and Medicine, 2022 - Elsevier
Recent research on artificial intelligence indicates that machine learning algorithms can
auto-generate novel drug-like molecules. Generative models have revolutionized de novo …
auto-generate novel drug-like molecules. Generative models have revolutionized de novo …
[HTML][HTML] Artificial intelligence and machine learning in drug discovery and development
V Patel, M Shah - Intelligent Medicine, 2022 - Elsevier
The current rise of artificial intelligence and machine learning has been significant. It has
reduced the human workload improved quality of life significantly. This article describes the …
reduced the human workload improved quality of life significantly. This article describes the …
Machine learning for synergistic network pharmacology: a comprehensive overview
Network pharmacology is an emerging area of systematic drug research that attempts to
understand drug actions and interactions with multiple targets. Network pharmacology has …
understand drug actions and interactions with multiple targets. Network pharmacology has …
[HTML][HTML] Enhancing preclinical drug discovery with artificial intelligence
Artificial intelligence (AI) is becoming an integral part of drug discovery. It has the potential to
deliver across the drug discovery and development value chain, starting from target …
deliver across the drug discovery and development value chain, starting from target …
Advancing pharmacy and healthcare with virtual digital technologies
Digitalisation of the healthcare sector promises to revolutionise patient healthcare globally.
From the different technologies, virtual tools including artificial intelligence, blockchain …
From the different technologies, virtual tools including artificial intelligence, blockchain …
[HTML][HTML] Artificial intelligence in multi-objective drug design
S Luukkonen, HW van den Maagdenberg… - Current Opinion in …, 2023 - Elsevier
The factors determining a drug's success are manifold, making de novo drug design an
inherently multi-objective optimisation (MOO) problem. With the advent of machine learning …
inherently multi-objective optimisation (MOO) problem. With the advent of machine learning …
Machine learning predicts 3D printing performance of over 900 drug delivery systems
Abstract Three-dimensional printing (3DP) is a transformative technology that is advancing
pharmaceutical research by producing personalized drug products. However, advances …
pharmaceutical research by producing personalized drug products. However, advances …
Harnessing artificial intelligence for the next generation of 3D printed medicines
Artificial intelligence (AI) is redefining how we exist in the world. In almost every sector of
society, AI is performing tasks with super-human speed and intellect; from the prediction of …
society, AI is performing tasks with super-human speed and intellect; from the prediction of …