The Evolution of Industrial Automation and Cybersecurity Risks DOI
Sher Taj,

Hajan Dahri,

Tahseen Ullah

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 397 - 430

Published: Feb. 21, 2025

Industrial automation has empowered industries and businesses such as energy, manufacturing, critical infrastructure, driving efficiency productivity. However, this technological advancement also introduced complex cybersecurity errors challenges. The increasing connectivity of industrial control systems, which are systems operational technology, expanded the attack surface, making vulnerable or weak to a range cyber threats attacks.

Language: Английский

Targeting hypoxia-related pathobiology in Alzheimer’s disease: strategies for prevention and treatment DOI
Veerta Sharma,

RS Verma,

Thakur Gurjeet Singh

et al.

Molecular Biology Reports, Journal Year: 2025, Volume and Issue: 52(1)

Published: April 23, 2025

Language: Английский

Citations

0

Artificial Intelligence in Cardiovascular Healthcare DOI
Uma Dutta, Bhudev C. Das

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 41 - 76

Published: March 21, 2025

Despite marked advancements in healthcare, cardiovascular disease (CVD) remains the leading cause of mortality worldwide. Machine learning (ML) and deep (DL) algorithms are crucial analyzing large datasets, including clinical records, genomics, proteomics, electronic health which greatly improve real-time CVD diagnosis, prediction, treatment strategies. Using advanced algorithms, artificial intelligence (AI) also shows strong potential interpreting raw image data from various cardiac imaging methods such as ECG, echocardiography, MRI, CT, electrophysiology, further enhancing diagnostic accuracy enabling personalized treatments based on individual patient needs. This review highlights key AI cardiology, reconceptualizing boundaries between healthcare technology. Keywords: Cardiovascular disease, intelligence, machine learning,

Language: Английский

Citations

0

Convergence of AI and Metaverse DOI
Karan Berry, Shiv Kumar, Rekha Kaushik

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 77 - 98

Published: April 24, 2025

Metaverse, a vivid and dynamic virtual environment, has sparked widespread interest offers numerous possibilities for technological advancement. The convergence of artificial intelligence (AI) Metaverse the potential to cause transformative changes across wide range industries applications. This chapter, built upon an extensive review pertaining literature, case studies, expert opinions, puts forward evolving examples research initiatives in integrated domain. Particular emphasis is laid manner which integration instigates novel epoch scientific exploration, with specific focus on disciplines including medicine, environmental science, engineering, social sciences. However, absence sufficient human intervention, this merger bears risk being exploited, despite its immense potential. meticulous overview provides readers insights about utility, challenges, ethical issues, future confluence order meet their quest knowledge pave path societal development.

Language: Английский

Citations

0

The Dawn of AI in Pharmaceutical Research DOI
Abdullah Saeed,

Sarah Abdulrahman Alajlan

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 26

Published: March 7, 2025

This chapter explores the profound impact of artificial intelligence (AI) on pharmaceutical research, particularly focusing its integration into drug discovery, development, and clinical trial processes. The narrative details how AI-driven methodologies like predictive modeling, virtual screening, machine learning revolutionize identification validation targets compounds. Additionally, discusses application AI in optimizing designs, enhancing patient recruitment, monitoring data real-time. Ethical considerations including privacy, bias, need for transparency applications are critically analyzed to underscore necessity ethical guidelines regulatory compliance evolving landscape research. comprehensive overview provided by authors demonstrates technologies not only accelerate development processes but also improve their efficacy, safety, cost-efficiency.

Language: Английский

Citations

0

The Evolution of Industrial Automation and Cybersecurity Risks DOI
Sher Taj,

Hajan Dahri,

Tahseen Ullah

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 397 - 430

Published: Feb. 21, 2025

Industrial automation has empowered industries and businesses such as energy, manufacturing, critical infrastructure, driving efficiency productivity. However, this technological advancement also introduced complex cybersecurity errors challenges. The increasing connectivity of industrial control systems, which are systems operational technology, expanded the attack surface, making vulnerable or weak to a range cyber threats attacks.

Language: Английский

Citations

0