Innovations in Nanomedicine: Using Nanorobots to Revolutionise Cancer Therapies

Öz

As computerization and AI have advanced, the healthcare industry, particularly the field of cancer research, has undergone a complete revolution. The combination of nanorobots and AI in healthcare is designed to enhance the delivery, diagnosis, and treatment of drugs. Unlike chemotherapy and radiation therapy, nanoroborts delivers drugs precisely to the affected areas with fewer side effects and better results. Like, doxorubicin which is a powerful chemotherapy drug, could be enclosed in a nanorobot that moves on its own or controlled to precisely deliver the medication to the cancerous area. Moreover, nanorobots can have a passive or active purpose, and different categories include Magnetic, enzyme based, bacterial, and AI-based nanorobots. Nevertheless, these systems encounter challenges related to biocompatibility, power supply, and real-time monitoring. These can be overcome by using, AI and machine learning, offer vital answers to enhance the self-navigating and decision making processes that support the use of nanorobots. Overall, while there have been significant advancements in cancer treatment, there are still several issues that need to be resolved before utilizing nanorobots for improved and safer therapies for cancer patients in the future, to enhance their quality of life. This article will explore the different types of nanorobots, how and why they are used including the use of doxorubicin and there future aspects.

Anahtar Kelimeler

• Nano-robots
• Micro-carriers
• Artificial Intelligence
• doksorubisin

Destekleyen Kurum

GIET SCHOOL OF PHARMACY

Etik Beyan

This review article is an original work by the authors and has not been published or submitted elsewhere. All sources of information and data used in this review are appropriately cited, and proper credit has been given to the original authors and publications. No funding from any organization or entity with a potential conflict of interest influenced the content or findings of this review. The authors have declared no competing interests related to this article. This manuscript adheres to ethical standards, ensuring integrity, accuracy, and respect for the scientific community.

Nanotıpta Yenilikler: Kanser Tedavilerinde Devrim Yaratmak İçin Nanorobotların Kullanılması

Öz

SOYUT – Bilgisayarlaşma ve yapay zeka ilerledikçe sağlık sektörü, özellikle de kanser araştırmaları alanı tam bir devrim geçirdi. Sağlık hizmetlerinde nanorobotların ve yapay zekanın birleşimi, ilaçların dağıtımını, teşhisini ve tedavisini geliştirmek için tasarlanmıştır. Kemoterapi ve radyasyon terapisinden farklı olarak nanorobortlar, ilaçları etkilenen bölgelere daha az yan etkiyle ve daha iyi sonuçlarla tam olarak ulaştırır. Mesela güçlü bir kemoterapi ilacı olan doksorubisin, kendi başına hareket eden bir nanorobotun içine yerleştirilebilir veya ilacın kanserli bölgeye hassas bir şekilde iletilmesi için kontrol edilebilir. Dahası, nanorobotların pasif veya aktif bir amacı olabilir ve farklı kategoriler arasında Manyetik, enzim bazlı, bakteriyel ve yapay zeka bazlı nanorobotlar bulunur. Bununla birlikte, bu sistemler biyouyumluluk, güç kaynağı ve gerçek zamanlı izleme ile ilgili zorluklarla karşılaşmaktadır. Yapay zeka ve makine öğrenimi kullanılarak bunların üstesinden gelinebilir; nanorobotların kullanımını destekleyen kendi kendine gezinme ve karar verme süreçlerini geliştirmek için hayati cevaplar sunar. Genel olarak, kanser tedavisinde önemli ilerlemeler kaydedilmiş olsa da, gelecekte kanser hastalarına yönelik daha iyi ve daha güvenli tedaviler sağlamak ve yaşam kalitelerini artırmak için nanorobotları kullanmadan önce çözülmesi gereken birkaç sorun var. Bu makale, farklı nanorobot türlerini, bunların nasıl ve neden kullanıldığını, doksorubisin kullanımı ve gelecekteki yönlerini inceleyecektir.

Anahtar Kelimeler

• Nano robotlar,
• Mikro taşıyıcılar
• Yapay Zeka
• Makine Öğrenimi

Destekleyen Kurum

GIET SCHOOL OF PHARMACY

Etik Beyan

Bu derleme makalesi, yazarların orijinal çalışmasıdır ve başka bir yerde yayımlanmamış veya gönderilmemiştir. Bu derlemede kullanılan tüm bilgi ve veri kaynakları uygun şekilde alıntılanmış olup, orijinal yazarlar ve yayınlara gereken kredi verilmiştir. Bu derlemenin içeriğini veya bulgularını etkileyebilecek potansiyel bir çıkar çatışması olan herhangi bir kuruluş veya kuruluştan fon sağlanmamıştır. Yazarlar, bu makale ile ilgili herhangi bir çıkar çatışması bulunmadığını beyan etmektedir. Bu makale, bilim topluluğuna saygı, bütünlük ve doğruluk esaslarına bağlı kalarak etik standartlara uygun olarak hazırlanmıştır.Gönderdiğiniz derginin politikalarıyla uyumlu olduğundan emin olun.

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