Artificial intelligence in drug discovery and development

KK Mak, YH Wong, MR Pichika - Drug Discovery and Evaluation: Safety …, 2023 - Springer
This chapter comprehensively explores the pivotal role of artificial intelligence (AI) in drug
discovery and development, encapsulating its potentials, methodologies, real-world …

Artificial intelligence: the milestone in modern biomedical research

K Athanasopoulou, GN Daneva, PG Adamopoulos… - …, 2022 - mdpi.com
In recent years, the advent of new experimental methodologies for studying the high
complexity of the human genome and proteome has led to the generation of an increasing …

A review on applications of artificial intelligence in wastewater treatment

Y Wang, Y Cheng, H Liu, Q Guo, C Dai, M Zhao, D Liu - Sustainability, 2023 - mdpi.com
In recent years, artificial intelligence (AI), as a rapidly developing and powerful tool to solve
practical problems, has attracted much attention and has been widely used in various areas …

Organoids as complex (bio) systems

TG Fernandes - Frontiers in Cell and Developmental Biology, 2023 - frontiersin.org
Organoids are three-dimensional structures derived from stem cells that mimic the
organization and function of specific organs, making them valuable tools for studying …

Revolutionizing biological science: The synergy of genomics in health, bioinformatics, agriculture, and artificial intelligence

A Biswas, A Kumari, DS Gaikwad… - OMICS: A Journal of …, 2023 - liebertpub.com
With climate emergency, COVID-19, and the rise of planetary health scholarship, the binary
of human and ecosystem health has been deeply challenged. The interdependence of …

[HTML][HTML] Human and AI: Collaborative Medicine in the Age of Technology

M Farrokhi, F Taheri, M Farrokhi, N Emtiazi, M Talebi… - Kindle, 2024 - preferpub.org
In the era of rapidly advancing technology, the collaboration between humans and artificial
intelligence (AI) is reshaping the landscape of medicine, ushering in an era of collaborative …

Artificial Neural Network Modeling for the Prediction, Estimation, and Treatment of Diverse Wastewaters: A Comprehensive Review and Future Perspective

M Ibrahim, A Haider, JW Lim, B Mainali, M Aslam… - Chemosphere, 2024 - Elsevier
The application of artificial neural networks (ANNs) in the treatment of wastewater has
achieved increasing attention, as it enhances the efficiency and sustainability of wastewater …

Machine learning for the advancement of genome-scale metabolic modeling

P Kundu, S Beura, S Mondal, AK Das, A Ghosh - Biotechnology Advances, 2024 - Elsevier
Constraint-based modeling (CBM) has evolved as the core systems biology tool to map the
interrelations between genotype, phenotype, and external environment. The recent …

[HTML][HTML] Effect of foaming conditions and drying temperatures on total polyphenol content and drying rate of foam-mat dried banana powder: Modeling and …

N Van Tai, H Van Hao, TTN Han, TN Giau… - Journal of Agriculture …, 2024 - Elsevier
This study aims to optimize the parameters of the foam-mat drying to produce banana
powder. Input parameters of the foam drying such as foaming agent (egg albumin) …

The whack-a-mole governance challenge for AI-enabled synthetic biology: literature review and emerging frameworks

TA Undheim - Frontiers in Bioengineering and Biotechnology, 2024 - frontiersin.org
AI-enabled synthetic biology has tremendous potential but also significantly increases
biorisks and brings about a new set of dual use concerns. The picture is complicated given …