AI-powered optimization and numerical techniques for nanofluid heat transfer systems-a review DOI
Mohsin Raza,

M. Z. Ahmad Faiz,

Walid A. Hassan

et al.

Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2024, Volume and Issue: 8(7)

Published: July 1, 2024

Language: Английский

Convergence of nanotechnology and artificial intelligence in the fight against liver cancer: a comprehensive review DOI Creative Commons
Manjusha Bhange, Darshan R. Telange

Discover Oncology, Journal Year: 2025, Volume and Issue: 16(1)

Published: Jan. 22, 2025

Abstract Liver cancer is one of the most challenging malignancies, often associated with poor prognosis and limited treatment options. Recent advancements in nanotechnology artificial intelligence (AI) have opened new frontiers fight against this disease. Nanotechnology enables precise, targeted drug delivery, enhancing efficacy therapeutics while minimizing off-target effects. Simultaneously, AI contributes to improved diagnostic accuracy, predictive modeling, development personalized strategies. This review explores convergence liver treatment, evaluating current progress, identifying existing research gaps, discussing future directions. We highlight how AI-powered algorithms can optimize nanocarrier design, facilitate real-time monitoring efficacy, enhance clinical decision-making. By integrating nanotechnology, clinicians achieve more accurate patient stratification personalization, ultimately improving outcomes. holds significant promise for transforming therapy into a individualized, efficient process. However, data privacy, regulatory hurdles, need large-scale validation remain. Addressing these issues will be essential fully realizing potential technologies oncology.

Language: Английский

Citations

9
Particle manipulation under X-force fields DOI
Chun‐Dong Xue,

Yifan Yin,

Xiaoyu Xu

et al.

Lab on a Chip, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

This review highlights recent technological advances for progress in particle manipulation under X-force fields, and forecasts the trajectory of future developments.

Language: Английский

Citations

2
The Synergy of Artificial Intelligence and Nanotechnology Towards Advancing Innovation and Sustainability- A Mini-Review DOI Creative Commons
David B. Olawade, Abimbola O. Ige, Abimbola G. Olaremu

et al.

Nano Trends, Journal Year: 2024, Volume and Issue: unknown, P. 100052 - 100052

Published: Sept. 1, 2024

Language: Английский

Citations

9
Integrating Artificial Intelligence and Microfluidics Technology for Psoriasis Therapy: A Comprehensive Review for Research and Clinical Applications DOI Creative Commons
Ibrahim Shaw,

Yimer Seid Ali,

Nie Changhong

et al.

Advanced Intelligent Systems, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 26, 2024

Microfluidics has evolved into a transformative technology with far‐reaching applications in biomedical research. However, designing and optimizing custom microfluidic systems remains challenging because of their inherent complexities. Integrating artificial intelligence (AI) microfluidics promises to overcome these barriers by leveraging AI algorithms automate device design, streamline experimentation, enhance diagnostic therapeutic outcomes. Psoriasis is an incurable dermatological condition that difficult diagnose treat owing its complex pathogenesis. Traditional approaches are often ineffective fail address individual variabilities disease progression treatment responses. AI‐coupled platforms have the potential revolutionize psoriasis research clinical expansive applications. AI‐driven chips embedded biosensors precisely detect biomarkers (BMs), manipulate biological samples, mimic psoriasis‐like vivo vitro models, thereby allowing real‐time monitoring optimized testing. This review examines AI‐powered for advancing It design mechanisms cell screening, diagnosis, drug delivery. highlights recent advances, applications, challenges, future perspectives, ethical considerations personalized care patient

Language: Английский

Citations

3
Operationalization of Digital Technologies and Skills in Public Services DOI
Umut Pınarcı, Volkan Göçoğlu

Advances in public policy and administration (APPA) book series, Journal Year: 2025, Volume and Issue: unknown, P. 219 - 250

Published: Jan. 24, 2025

This chapter explores the changes in security processes caused by robots used various functions different areas of public and their effects on strategy policies. The predicts may have results two perspectives. first addresses use as a tool for ensuring security, requiring an increase digital skills individuals developing capacity to adapt these technologies. second perspective considers directly replacing people's positions become employment subject. Building hybrid approach based perspectives, conveys development robot technology how are integrated into Finally, it gives case study USA, which emerges most concrete saturated example robotics developments, Türkiye, researchers, selected excellent terms both familiarity relative difference homeland.

Language: Английский

Citations

0
The Integration of Artificial Intelligence with Micro–Nano-Systems: Perspectives, Challenges and Future Prospects DOI Creative Commons
Juvenal Rodríguez‐Reséndiz, Marcos Avilés, José M. Álvarez-Alvarado

et al.

Micromachines, Journal Year: 2025, Volume and Issue: 16(3), P. 301 - 301

Published: March 4, 2025

Technological advances have allowed various systems to be developed on a small scale [...]

Language: Английский

Citations

0
Recent advances in DNA nanotechnology for cancer detection and therapy: A review DOI

Donya Esmaeilpour,

Matineh Ghomi, Ehsan Nazarzadeh Zare‬

et al.

International Journal of Biological Macromolecules, Journal Year: 2025, Volume and Issue: unknown, P. 142136 - 142136

Published: March 1, 2025

Language: Английский

Citations

0
Artificial Intelligence-Assisted Design of Nanomedicines for Breast Cancer Diagnosis and Therapy: Advances, Challenges, and Future Directions DOI Creative Commons
Moein Shirzad, Mina Shaban, Vahideh Mohammadzadeh

et al.

BioNanoScience, Journal Year: 2025, Volume and Issue: 15(3)

Published: May 21, 2025

Language: Английский

Citations

0
Evaluation of Salophen-Based Immobilized Copper Nanoparticles Biosynthesized Using Curcuma Longa Extract: Physicochemical Characterization and Biological Study DOI

Tahereh Haghighi,

Pouya Ghamari Kargar, Ghodsieh Bagherzade

et al.

Inorganic Chemistry Communications, Journal Year: 2024, Volume and Issue: 167, P. 112736 - 112736

Published: June 14, 2024

Language: Английский

Citations

1
Data-driven models for microfluidics: A short review DOI

Chang Yu,

Qichen Shang,

Zifei Yan

et al.

Biomicrofluidics, Journal Year: 2024, Volume and Issue: 18(6)

Published: Nov. 20, 2024

Microfluidic devices have many unique practical applications across a wide range of fields, making it important to develop accurate models these devices, and different been developed. Existing modeling methods mainly include mechanism derivation semi-empirical correlations, but both are not universally applicable. In order achieve more general process, the use data-driven has studied recently. This review highlights recent advances in application techniques for simulating designing microfluidic devices. First, introduces traditional approaches microfluidics; subsequently, through database sources, reviews studies on three categories; finally, raises some open issues that require further investigation.

Language: Английский

Citations

1