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[HTML][HTML] 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 …
Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers.
The launch of ChatGPT in 2022 garnered global attention, marking a significant milestone in
the Generative Artificial Intelligence (GAI) field. While GAI has been in effect for the past …
the Generative Artificial Intelligence (GAI) field. While GAI has been in effect for the past …
[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 …
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 …
Reinvent 4: Modern AI–driven generative molecule design
REINVENT 4 is a modern open-source generative AI framework for the design of small
molecules. The software utilizes recurrent neural networks and transformer architectures to …
molecules. The software utilizes recurrent neural networks and transformer architectures to …
Artificial intelligence in drug discovery and development
KK Mak, YH Wong, MR Pichika - Drug discovery and evaluation: safety …, 2024 - Springer
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 …
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 …
Diffbp: Generative diffusion of 3d molecules for target protein binding
H Lin, Y Huang, O Zhang, S Ma, M Liu, X Li, L Wu… - Chemical …, 2025 - pubs.rsc.org
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 …
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 …
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 …