Machine learning in bioprocess development: from promise to practice

LM Helleckes, J Hemmerich, W Wiechert… - Trends in …, 2023 - cell.com
Fostered by novel analytical techniques, digitalization, and automation, modern bioprocess
development provides large amounts of heterogeneous experimental data, containing …

Recent advances of utilizing artificial intelligence in lab on a chip for diagnosis and treatment

S Zare Harofte, M Soltani, S Siavashy, K Raahemifar - Small, 2022 - Wiley Online Library
Nowadays, artificial intelligence (AI) creates numerous promising opportunities in the life
sciences. AI methods can be significantly advantageous for analyzing the massive datasets …

[HTML][HTML] An artificial intelligence method for predicting postoperative urinary incontinence based on multiple anatomic parameters of MRI

J Li, X Fan, T Tang, E Wu, D Wang, H Zong, X Zhou… - Heliyon, 2023 - cell.com
Background Deep learning methods are increasingly applied in the medical field; however,
their lack of interpretability remains a challenge. Captum is a tool that can be used to …

[HTML][HTML] Assessment of Multidimensional Health Care Parameters Among Adults in Japan for Developing a Virtual Human Generative Model: Protocol for a Cross …

M Hibi, S Katada, A Kawakami, K Bito… - JMIR Research …, 2023 - researchprotocols.org
Background Human health status can be measured on the basis of many different
parameters. Statistical relationships among these different health parameters will enable …

Research on the application of artificial intelligence in computer network technology in the era of big data

Z Xu - Concurrency and Computation: Practice and …, 2022 - Wiley Online Library
In order to improve the security and reliability of computer network, especially the three
aspects of fault network diagnosis overall model, computer network link fault detection and …

The Road to a Trustworthy 6G; On the Need for a “Zero Trust 6G” Paradigm

GM Køien - Journal of Mobile Multimedia, 2024 - journals.riverpublishers.com
The high-level aspects of 6G are slowly being agreed upon. It is safe to assume that 6G will
bring many enhancements to 5G, including pervasive application of Artificial Intelligence (AI) …

The Rise of Intelligent Machines: An Introduction to Artificial Intelligence

S Tiwari - Artificial Intelligence and Machine Learning in Drug …, 2024 - Wiley Online Library
Artificial intelligence (AI) represents a field within computer science dedicated to developing
intelligent machines that can execute tasks typically demanding human intelligence. AI aims …

Artificial Intelligence in Pharmaceutical Field: Applications, Challenges and Future Scope

P Joshi, N Nainwal, J Rautela… - … Conference on Fourth …, 2022 - ieeexplore.ieee.org
Since the introduction of specialized technology in the field of medicine has changed the
conditions that were proven to be the severe ones from hope to have that was observed …

Role of Industry 4.0 in Biotechnology to Produce Environmentally Sustainable Biotechnology Products.

P Kumar - Asian Biotechnology & Development Review, 2023 - search.ebscohost.com
Due to the rise of global population, pollution, and the limitation of natural resources,
sustainability is now becoming a fundamental requirement of industries. Sustainable …

Analyzing critical success factors for a successful implementation of artificial intelligence in agile industry 4.0

F Tamtam, L Yacoubi, A Tourabi - Proceedings of the 2023 6th …, 2023 - dl.acm.org
In industry 4.0, artificial intelligence (AI) promises to achieve persuasive operational
transformations. Yet, agility is one of the prominent concepts in the organizational capability …