The role of nanomedicine and artificial intelligence in cancer health care: individual applications and emerging integrations—a narrative review DOI Creative Commons

Prasanthi Samathoti,

Rajasekhar Komarla Kumarachari, Sarad Pawar Naik Bukke

et al.

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

Published: May 8, 2025

Cancer remains one of the deadliest diseases globally, significantly impacting patients' quality life. Addressing rising incidence cancer deaths necessitates innovative approaches such as nanomedicine and artificial intelligence (AI). The convergence AI represents a transformative frontier in healthcare, promising unprecedented advancements diagnosis, treatment, patient management. This narrative review explores distinct applications oncology, alongside their synergistic potential. Nanomedicine leverages nanoparticles for targeted drug delivery, enhancing therapeutic efficacy while minimizing adverse effects. Concurrently, algorithms facilitate early detection, personalized treatment planning, predictive analytics, thereby optimizing clinical outcomes. Emerging integrations these technologies could transform care by facilitating precise, personalized, adaptive strategies. synthesizes current research, highlights individual applications, discusses emerging oncology. goal is to provide comprehensive understanding how cutting-edge can collaboratively improve prognosis.

Language: Английский

Advancing the diagnosis of major depressive disorder: Integrating neuroimaging and machine learning DOI

Shiqi Yin,

Ying-Huan Li

World Journal of Psychiatry, Journal Year: 2025, Volume and Issue: 15(3)

Published: Feb. 26, 2025

Major depressive disorder (MDD), a psychiatric characterized by functional brain deficits, poses considerable diagnostic and treatment challenges, especially in adolescents owing to varying clinical presentations. Biomarkers hold substantial potential the field of mental health, enabling objective assessments physiological pathological states, facilitating early diagnosis, enhancing decision-making patient outcomes. Recent breakthroughs combine neuroimaging with machine learning (ML) distinguish activity patterns between MDD patients healthy controls, paving way for support personalized treatment. However, accuracy results depends on selection features algorithms. Ensuring privacy protection, ML model accuracy, fostering trust are essential steps prior implementation. Future research should prioritize establishment comprehensive legal frameworks regulatory mechanisms using diagnosis while safeguarding rights. By doing so, we can advance care MDD.

Language: Английский

Citations

0
Machine learning-based correlation for economic evaluation of HTSE-nuclear cogeneration plant DOI
Khashayar Sadeghi, Seyed Hadi Ghazaie, Ekaterina Sokolova

et al.

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 114, P. 337 - 351

Published: March 1, 2025

Language: Английский

Citations

0
The role of nanomedicine and artificial intelligence in cancer health care: individual applications and emerging integrations—a narrative review DOI Creative Commons

Prasanthi Samathoti,

Rajasekhar Komarla Kumarachari, Sarad Pawar Naik Bukke

et al.

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

Published: May 8, 2025

Cancer remains one of the deadliest diseases globally, significantly impacting patients' quality life. Addressing rising incidence cancer deaths necessitates innovative approaches such as nanomedicine and artificial intelligence (AI). The convergence AI represents a transformative frontier in healthcare, promising unprecedented advancements diagnosis, treatment, patient management. This narrative review explores distinct applications oncology, alongside their synergistic potential. Nanomedicine leverages nanoparticles for targeted drug delivery, enhancing therapeutic efficacy while minimizing adverse effects. Concurrently, algorithms facilitate early detection, personalized treatment planning, predictive analytics, thereby optimizing clinical outcomes. Emerging integrations these technologies could transform care by facilitating precise, personalized, adaptive strategies. synthesizes current research, highlights individual applications, discusses emerging oncology. goal is to provide comprehensive understanding how cutting-edge can collaboratively improve prognosis.

Language: Английский

Citations

0