From Biosensors to Robotics: Pioneering Advances in Breast Cancer Management.


Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
23 Sep 2024
Historique:
received: 12 08 2024
revised: 17 09 2024
accepted: 18 09 2024
medline: 28 9 2024
pubmed: 28 9 2024
entrez: 28 9 2024
Statut: epublish

Résumé

Breast cancer stands as the most prevalent form of cancer amongst females, constituting more than one-third of all cancer cases affecting women. It causes aberrant cell development, which can assault or spread to other sections of the body, perhaps leading to the patient's death. Based on research findings, timely detection can diminish the likelihood of mortality and enhance the quality of healthcare provided for the illness. However, current technologies can only identify cancer at an advanced stage. Consequently, there is a substantial demand for rapid and productive approaches to detecting breast cancer. Researchers are actively pursuing precise and timely methods for the diagnosis of breast cancer, aiming to achieve enhanced accuracy and early detection. Biosensor technology can allow for the speedy and accurate diagnosis of cancer-related cells, as well as a more sensitive and specialized technique for generating them. Additionally, numerous treatments for breast cancer are depicted such as herbal therapy, nanomaterial-based drug delivery, miRNA targeting, CRISPR technology, immunotherapy, and precision medicine. Early detection and efficient therapy are necessary to manage such a severe illness properly.

Identifiants

pubmed: 39338894
pii: s24186149
doi: 10.3390/s24186149
pii:
doi:

Substances chimiques

MicroRNAs 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Mohd Rahil Hasan (MR)

Department of Biotechnology, Jamia Hamdard, New Delhi 110062, India.

Mohd Mughees (M)

Department of Biotechnology, Jamia Hamdard, New Delhi 110062, India.

Shifa Shaikh (S)

Department of Biotechnology, Jamia Hamdard, New Delhi 110062, India.

Furqan Choudhary (F)

Department of Biotechnology, Jamia Hamdard, New Delhi 110062, India.

Anam Nizam (A)

Department of Biotechnology, Jamia Hamdard, New Delhi 110062, India.

Amber Rizwan (A)

Department of Biotechnology, Jamia Hamdard, New Delhi 110062, India.

Onaiza Ansari (O)

Department of Biotechnology, Jamia Hamdard, New Delhi 110062, India.

Yusra Iqbal (Y)

Department of Biotechnology, Jamia Hamdard, New Delhi 110062, India.

Roberto Pilloton (R)

CNR-IC, Area della Ricerca di RM1, Via Salaria km 29.3, Monterotondo, I-00015 Rome, Italy.

Saima Wajid (S)

Department of Biotechnology, Jamia Hamdard, New Delhi 110062, India.

Jagriti Narang (J)

Department of Biotechnology, Jamia Hamdard, New Delhi 110062, India.

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Classifications MeSH