Where developmental toxicity meets explainable artificial intelligence: state-of-the-art and perspectives
M Vittoria Togo, F Mastrolorito, A Orfino… - Expert Opinion on …, 2024 - Taylor & Francis
ABSTRACT Introduction The application of Artificial Intelligence (AI) to predictive toxicology
is rapidly increasing, particularly aiming to develop non-testing methods that effectively …
is rapidly increasing, particularly aiming to develop non-testing methods that effectively …
A review on machine learning aided multi-omics data integration techniques for healthcare
H Bansal, H Luthra, SR Raghuram - Data Analytics and Computational …, 2023 - Springer
To understand the mechanism of biological processes inside a human, it is necessary to
look at its various regulatory aspects, such as DNA methylation and post-translational …
look at its various regulatory aspects, such as DNA methylation and post-translational …
Deep learning in computational biology: Advancements, challenges, and future outlook
S Kumar, D Guruparan, P Aaron, P Telajan… - arXiv preprint arXiv …, 2023 - arxiv.org
Deep learning has become a powerful tool in computational biology, revolutionising the
analysis and interpretation of biological data over time. In our article review, we delve into …
analysis and interpretation of biological data over time. In our article review, we delve into …