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Updated: Apr 24, 2026
Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence
Published on: June 10, 2025
Artificial Intelligence and Prostate-Breast Cancer Biology: Recent Advances in Treatments and Perspectives - A
Russell B O Ouma1, Silas M Ngari1, Joshua K Kibet1
1Department of Chemistry Egerton University Njoro Kenya.
Background And Aims:
The therapeutic limitations of conventional cancer treatment currently deployed are driving the development and creation of new nano-drugs. Prostate cancer (PCa) is a prevalent clinical problem in older men with a significant global incidence, with 1.5 million cases reported in 2022. Breast cancer (BC) is also a considerable health burden among women worldwide, with reports showing over 67,000 deaths in 2022. Generally, across the world, cancer has posed significant health burden due to limited access to treatment options, high incidence rates, and mortality rates occasioned by lifestyle and genetic factors. This review explores the potential of nanomedicine and artificial intelligence (AI) to overcome these limitations and improve patient outcomes, and provides an insightful overview of the available cancer treatment options, such as radiation therapy, surgery, hormone therapy, chemotherapy, and targeted therapies, focusing on PCa and BC.
Methods:
A comprehensive synthesis of recent literature has been conducted, focusing on enormous advances that have been made to understand the biology of various cancers, imaging technologies, and therapeutic approaches. Subsequently, cancer management has evolved rapidly, focusing on the genomic landscape and oncogenesis of localized and metastatic cancers.
Results:
The current treatment strategies face therapeutic challenges related to accessibility issues, drug resistance, and side effects. The emergence of nanomedicine and artificial intelligence (AI) models in imaging, therapy, and drug delivery offers solutions related to these challenges. Nanomedicine is a growing research hotspot with an increased number of publications with keywords such as "prodrug," "cancer nanomedicine," "cancer immunotherapy," "artificial intelligence," and "targeted nanomedicine".
Conclusions:
The nanotechnologies utilized in cancer treatment reduce side effects, enhance treatment efficacy, and improve patient outcomes. Combining nanomedicine with conventional therapies holds promise in revolutionizing cancer treatment and addressing the clinical challenges of current therapies.
Insights
Nanomedicine and artificial intelligence (AI) offer novel solutions to overcome limitations in conventional cancer treatments like prostate cancer and breast cancer. These advanced approaches enhance treatment efficacy and improve patient outcomes by reducing side effects.
Area of Science:
- Oncology
- Nanomedicine
- Artificial Intelligence
Background:
- Cancer, including prostate cancer (PCa) and breast cancer (BC), poses a significant global health burden.
- Conventional treatments face limitations such as accessibility issues, drug resistance, and adverse side effects.
- Advancements in understanding cancer biology, imaging, and therapeutics are rapidly evolving cancer management.
Purpose of the Study:
- To explore the potential of nanomedicine and artificial intelligence (AI) in overcoming therapeutic limitations of conventional cancer treatments.
- To provide an overview of current cancer treatment options, focusing on PCa and BC.
- To highlight how nanomedicine and AI can improve patient outcomes.
Main Methods:
- A comprehensive literature synthesis was conducted.
- Focus on recent advances in cancer biology, imaging technologies, and therapeutic approaches.
- Review of nanomedicine and AI applications in cancer imaging, therapy, and drug delivery.
Main Results:
- Nanomedicine and AI offer solutions to challenges like accessibility, drug resistance, and side effects.
- Nanomedicine is a rapidly growing research area with increasing publications on keywords like "prodrug," "cancer nanomedicine," and "artificial intelligence."
- Nanotechnologies reduce side effects and enhance treatment efficacy.
Conclusions:
- Nanomedicine and AI hold significant promise for revolutionizing cancer treatment.
- Combining nanomedicine with conventional therapies can address current clinical challenges.
- These approaches are expected to improve patient outcomes in cancer care.
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