[HTML][HTML] The application of artificial intelligence and big data in the food industry

H Ding, J Tian, W Yu, DI Wilson, BR Young, X Cui… - Foods, 2023 - mdpi.com
Over the past few decades, the food industry has undergone revolutionary changes due to
the impacts of globalization, technological advancements, and ever-evolving consumer …

A comprehensive review on artificial intelligence assisted technologies in food industry

A Thapa, S Nishad, D Biswas, S Roy - Food Bioscience, 2023 - Elsevier
Due to escalating food demand in tandem with the growing global population over the past
few decades, artificial intelligence (AI) has been implemented into food business. The ability …

The use of artificial intelligence in induced pluripotent stem cell-based technology over 10-year period: A systematic sco** review

QD Vo, Y Saito, T Ida, K Nakamura, S Yuasa - Plos one, 2024 - journals.plos.org
Background Stem cell research, particularly in the domain of induced pluripotent stem cell
(iPSC) technology, has shown significant progress. The integration of artificial intelligence …

AI-Based solutions for current challenges in regenerative medicine

PA Sarabi, M Shabanpouremam, AR Eghtedari… - European journal of …, 2024 - Elsevier
Abstract The emergence of Artificial Intelligence (AI) and its usage in regenerative medicine
represents a significant opportunity that holds the promise of tackling critical challenges and …

[HTML][HTML] Artificial Intelligence in Agro-Food Systems: From Farm to Fork

A Aghababaei, F Aghababaei, M Pignitter, M Hadidi - Foods, 2025 - mdpi.com
The current landscape of the food processing industry places a strong emphasis on
improving food quality, nutritional value, and processing techniques. This focus arises from …

Integrating artificial intelligence to biomedical science: New applications for innovative stem cell research and drug development

M Kim, S Hong - Technologies, 2024 - mdpi.com
Artificial intelligence (AI) is rapidly advancing, aiming to mimic human cognitive abilities, and
is addressing complex medical challenges in the field of biological science. Over the past …

A comparison of U-net backbone architectures for the automatic white blood cells segmentation

MH BENDIABDALLAH… - WAS Science Nature …, 2021 - worldascience.org
Reliable recognition of white blood cells is an essential step in the diagnosis of several
types of cancer. Therefore, the segmentation of white blood cells plays an essential role and …

[HTML][HTML] Artificial-intelligence-based imaging analysis of stem cells: A systematic sco** review

J Issa, M Abou Chaar, B Kempisty, L Gasiorowski… - Biology, 2022 - mdpi.com
Simple Summary Lately, investigations of artificial intelligence as an assisting tool for
analyzing and identifying stem cells have increased. In this systematic sco** review, we …

Machine learning approaches for stem cells

M Mazalan, TD Do, WSWK Zaman, EI Ramlan - Current Stem Cell Reports, 2023 - Springer
Abstract Purpose of Review Machine learning (ML) enables high-throughput analysis of
multimodal data generated from stem cell experiments such as gene expression data …

The biomedical applications of artificial intelligence: an overview of decades of research

S Naskar, S Sharma, K Kuotsu, S Halder… - Journal of Drug …, 2024 - Taylor & Francis
A significant area of computer science called artificial intelligence (AI) is successfully applied
to the analysis of intricate biological data and the extraction of substantial associations from …