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Attention is all you need: utilizing attention in AI-enabled drug discovery
Recently, attention mechanism and derived models have gained significant traction in drug
development due to their outstanding performance and interpretability in handling complex …
development due to their outstanding performance and interpretability in handling complex …
Antimicrobial resistance crisis: could artificial intelligence be the solution?
GY Liu, D Yu, MM Fan, X Zhang, ZY **, C Tang… - Military Medical …, 2024 - Springer
Antimicrobial resistance is a global public health threat, and the World Health Organization
(WHO) has announced a priority list of the most threatening pathogens against which novel …
(WHO) has announced a priority list of the most threatening pathogens against which novel …
[HTML][HTML] Advances in Artificial Intelligence (AI)-assisted approaches in drug screening
Artificial intelligence (AI) is revolutionizing the current process of drug design and
development, addressing the challenges encountered in its various stages. By utilizing AI …
development, addressing the challenges encountered in its various stages. By utilizing AI …
Global regulatory frameworks for the use of artificial intelligence (AI) in the healthcare services sector
The healthcare sector is faced with challenges due to a shrinking healthcare workforce and
a rise in chronic diseases that are worsening with demographic and epidemiological shifts …
a rise in chronic diseases that are worsening with demographic and epidemiological shifts …
Modern machine‐learning for binding affinity estimation of protein–ligand complexes: Progress, opportunities, and challenges
Abstract Structure‐based drug design is a widely applied approach in the discovery of new
lead compounds for known therapeutic targets. In most structure‐based drug design …
lead compounds for known therapeutic targets. In most structure‐based drug design …
SYNBIP 2.0: epitopes map**, sequence expansion and scaffolds discovery for synthetic binding protein innovation
Synthetic binding proteins (SBPs) represent a pivotal class of artificially engineered proteins,
meticulously crafted to exhibit targeted binding properties and specific functions. Here, the …
meticulously crafted to exhibit targeted binding properties and specific functions. Here, the …
Strategies of Artificial intelligence tools in the domain of nanomedicine
Nanomedicine is a field of medicine that uses nanotechnology to develop new diagnostic
tools and therapies for a wide range of medical conditions. It encompasses a variety of …
tools and therapies for a wide range of medical conditions. It encompasses a variety of …
Advanced design of soft robots with artificial intelligence
Highlights A comprehensive review focused on the whole systems of the soft robotics with
artificial intelligence, which can feel, think, react and interact with humans, is presented. The …
artificial intelligence, which can feel, think, react and interact with humans, is presented. The …
Evaluating the effect of artificial intelligence on pharmaceutical product and drug discovery in China
AK Sampene, F Nyirenda - Future Journal of Pharmaceutical Sciences, 2024 - Springer
The pharmaceutical sector has recently witnessed a transformative improvement and shift
toward artificial intelligence (AI) in its drug and pharmaceutical delivery process and …
toward artificial intelligence (AI) in its drug and pharmaceutical delivery process and …
Artificial intelligence for small molecule anticancer drug discovery
Introduction The transition from conventional cytotoxic chemotherapy to targeted cancer
therapy with small-molecule anticancer drugs has enhanced treatment outcomes. This …
therapy with small-molecule anticancer drugs has enhanced treatment outcomes. This …