Artificial intelligence in drug discovery and development
This chapter comprehensively explores the pivotal role of artificial intelligence (AI) in drug
discovery and development, encapsulating its potentials, methodologies, real-world …
discovery and development, encapsulating its potentials, methodologies, real-world …
The power of generative ai: A review of requirements, models, input–output formats, evaluation metrics, and challenges
A Bandi, PVSR Adapa, YEVPK Kuchi - Future Internet, 2023 - mdpi.com
Generative artificial intelligence (AI) has emerged as a powerful technology with numerous
applications in various domains. There is a need to identify the requirements and evaluation …
applications in various domains. There is a need to identify the requirements and evaluation …
[HTML][HTML] Generative AI in medical practice: in-depth exploration of privacy and security challenges
As advances in artificial intelligence (AI) continue to transform and revolutionize the field of
medicine, understanding the potential uses of generative AI in health care becomes …
medicine, understanding the potential uses of generative AI in health care becomes …
Diffbp: Generative diffusion of 3d molecules for target protein binding
Generating molecules that bind to specific proteins is an important but challenging task in
drug discovery. Most previous works typically generate atoms autoregressively, with element …
drug discovery. Most previous works typically generate atoms autoregressively, with element …
Generative artificial intelligence: a systematic review and applications
In recent years, the study of artificial intelligence (AI) has undergone a paradigm shift. This
has been propelled by the groundbreaking capabilities of generative models both in …
has been propelled by the groundbreaking capabilities of generative models both in …
Application of variational graph encoders as an effective generalist algorithm in computer-aided drug design
Although there has been considerable progress in molecular property prediction in
computer-aided drug design, there is a critical need to have fast and accurate models. Many …
computer-aided drug design, there is a critical need to have fast and accurate models. Many …
Generative AI for designing and validating easily synthesizable and structurally novel antibiotics
The rise of pan-resistant bacteria is creating an urgent need for structurally novel antibiotics.
Artificial intelligence methods can discover new antibiotics, but existing methods have …
Artificial intelligence methods can discover new antibiotics, but existing methods have …
Comprehensive evaluation of deep and graph learning on drug–drug interactions prediction
Recent advances and achievements of artificial intelligence (AI) as well as deep and graph
learning models have established their usefulness in biomedical applications, especially in …
learning models have established their usefulness in biomedical applications, especially in …
Geometric deep learning for drug discovery
Drug discovery is a time-consuming and expensive process. With the development of
Artificial Intelligence (AI) techniques, molecular Geometric Deep Learning (GDL) has …
Artificial Intelligence (AI) techniques, molecular Geometric Deep Learning (GDL) has …
Exploring the intersection of artificial intelligence and clinical healthcare: a multidisciplinary review
Artificial intelligence (AI) plays a more and more important role in our everyday life due to the
advantages that it brings when used, such as 24/7 availability, a very low percentage of …
advantages that it brings when used, such as 24/7 availability, a very low percentage of …