[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 …

Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers.

S Bengesi, H El-Sayed, MK Sarker, Y Houkpati… - IEEe …, 2024 - ieeexplore.ieee.org
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 …

[HTML][HTML] Generative AI in medical practice: in-depth exploration of privacy and security challenges

Y Chen, P Esmaeilzadeh - Journal of Medical Internet Research, 2024 - jmir.org
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 …

Generative AI for designing and validating easily synthesizable and structurally novel antibiotics

K Swanson, G Liu, DB Catacutan, A Arnold… - Nature Machine …, 2024 - nature.com
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 …

Reinvent 4: Modern AI–driven generative molecule design

HH Loeffler, J He, A Tibo, JP Janet, A Voronov… - Journal of …, 2024 - Springer
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 …

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 …

Generative artificial intelligence: a systematic review and applications

SS Sengar, AB Hasan, S Kumar, F Carroll - Multimedia Tools and …, 2024 - Springer
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 …

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 …

Comprehensive evaluation of deep and graph learning on drug–drug interactions prediction

X Lin, L Dai, Y Zhou, ZG Yu, W Zhang… - Briefings in …, 2023 - academic.oup.com
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 …

Exploring the intersection of artificial intelligence and clinical healthcare: a multidisciplinary review

CS Stafie, IG Sufaru, CM Ghiciuc, II Stafie, EC Sufaru… - Diagnostics, 2023 - mdpi.com
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 …