Radiolabeled methotrexate loaded chitosan nanoparticles as imaging probe for breast cancer: Biodistribution in tumor-bearing mice

M Ekinci, C Koksal-Karayildirim… - Journal of Drug Delivery …, 2023 - Elsevier
There is great interest in developing nanoparticle drug delivery systems for the delivery of
therapeutics or imaging agents for cancer. In this context, a new radiopharmaceutical was …

Homodimer 99mTc-HYNIC-E(SSSLTVPWY)2 peptide improved HER2-overexpressed tumor targeting and imaging

F Ebrahimi, Z Noaparast, SM Abedi, SJ Hosseinimehr - Medical Oncology, 2022 - Springer
We hypothesized that a novel design of the LTVPWY (LY) peptide might exhibit a great
potential for improving binding affinity and targeting HER2-overexpressed tumors. Hence …

Recent advances in Targeted Radionuclide therapy for Cancer treatment

M Goel, MK Mishra, D Kumar - Chemical Biology Letters, 2023 - pubs.thesciencein.org
In the last two decades, science has largely evolved in methodologies for cancer treatment,
yet, the basic backbone of cancer treatment includes surgery, chemotherapy and radiation …

[PDF][PDF] Molecular imaging for estrogen receptor-positive breast cancer: clinical applications of whole body and dedicated breast positron emission tomography

K Goodman, MK Abel, C Lawhn-Heath… - Surgical oncology clinics …, 2022 - Elsevier
Summary Recently FDA-approved, 18 F-FES is a well-studied radiopharmaceutical with the
ability to provide molecular imaging of ER-positive breast cancer. In the setting of whole …

Application of nanomaterials in early diagnosis of cancer

Y Guo, S Shao, R Gu, X Hu, M Zhao, Y Peng… - Nanotechnology …, 2023 - degruyter.com
Early diagnosis of cancer is beneficial to improve the outcomes of clinical treatment and
reduce cancer mortality. Nanomaterials (NMs) have exhibited significant advantages in early …

[HTML][HTML] Evaluation of a novel EphA2 targeting peptide for triple negative breast cancer based on radionuclide molecular imaging

B Qu, Y Han, T Liang, C Zhang, G Hou, F Gao - Arabian Journal of …, 2022 - Elsevier
A new strategy for the early diagnosis of triple-negative breast cancer (TNBC) is urgently
needed however specific targets are lacking. EphA2 has been reported to be over …

Harnessing artificial intelligence for transpathology advancements

Z Liu, S Dong, L Zhang, K Shi - Transpathology, 2024 - Elsevier
Transpathology is an emerging theory that transcends the limitations of multiscale
measurements in the characterization of pathophysiology for disease phenotyping …

Original Research Article: An integrated system for breast cancer diagnosis using convolution neural network and attention mechanism

D Sharma, R Kumar, A Jain - Journal of Autonomous Intelligence, 2024 - jai.front-sci.com
In most malignancies, breast cancer is fatal, accounting for approximately 500,000 annual
deaths. The subtype of breast cancer known as Invasive Ductal Carcinoma (IDC) is …

Lung and colon cancer detection with convolutional neural networks and adaptive histogram equalization

A Farhadipour - Iran Journal of Computer Science, 2023 - Springer
Lung and colon cancers are responsible for a considerable number of deaths annually, with
lung cancer being the most prevalent and colon cancer following closely as the second most …

Exercise Interventions for the Prevention and Treatment of Anthracycline-Induced Cardiotoxicity in Women with Breast Cancer: A Systematic Review

H Li, H Liu, B Wang, X Jia, J Yu, Y Zhang… - Journal of Science in …, 2024 - Springer
Purpose Anthracyclines have been one of the standard therapies for breast cancer (BC),
and dose-related cardiotoxicity is one serious side effect. Exercise is an effective strategy for …