[HTML][HTML] Ashwagandha-Induced Programmed Cell Death in the Treatment of Breast Cancer
R Kołodziejska, A Tafelska-Kaczmarek… - Current Issues in …, 2024 - ncbi.nlm.nih.gov
The aim of this review is to provide experimental evidence for the programmed-death activity
of Ashwagandha (Withania somnifera) in the anti-cancer therapy of breast cancer. The …
of Ashwagandha (Withania somnifera) in the anti-cancer therapy of breast cancer. The …
Advances in Polymeric Nanomaterial‐mediated Autophagy for Cancer Therapy
J Zhao, X Hou, C Zhao, L Su, F Huang - ChemBioChem, 2024 - Wiley Online Library
Autophagy is an important biological mechanism for eukaryotic cells to regulate growth,
death, and energy metabolism, and plays an important role in removing damaged …
death, and energy metabolism, and plays an important role in removing damaged …
[PDF][PDF] Decellularized tumor tissues integrated with polydopamine for wound healing
H Li, X Lin, S Rao, G Zhou, L Meng, Y Yu, J Wang… - Research, 2024 - spj.science.org
Natural biomaterials have been showing extensive potential in wound healing, attempts
therefore focus on the productions achieving both antimicrobial and tissue regenerative …
therefore focus on the productions achieving both antimicrobial and tissue regenerative …
Targeting MCL1 with Sanggenon C overcomes MCL1-driven adaptive chemoresistance via dysregulation of autophagy and endoplasmic reticulum stress in cervical …
W Sun, H Cai, K Zhang, H Cui, E Zhao - Phytomedicine, 2024 - Elsevier
Background Cervical cancer ranks as one of the most prevalent malignancies among
women worldwide and poses a significant threat to health and quality of life. MCL1 is an …
women worldwide and poses a significant threat to health and quality of life. MCL1 is an …
Sulfonated Azocalix [4] arene-Modified Metal–Organic Framework Nanosheets for Doxorubicin Removal from Serum
XM Cao, YQ Cheng, MM Chen, SY Yao, AK Ying… - Nanomaterials, 2024 - mdpi.com
Chemotherapy is one of the most commonly used methods for treating cancer, but its side
effects severely limit its application and impair treatment effectiveness. Removing off-target …
effects severely limit its application and impair treatment effectiveness. Removing off-target …
Mapping alternative splicing events in colorectal cancer
Y Zheng, G Zhong, Q Song, H Zhang, S Wang, C Lin… - Discover Oncology, 2024 - Springer
Although aberrant splicing events of genes are closely related to the development and
progression of colorectal cancer (CRC), the mapping of abnormal splicing events, especially …
progression of colorectal cancer (CRC), the mapping of abnormal splicing events, especially …
Breast Histopathology Image Retrieval by Attention-based Adversarially Regularized Variational Graph Autoencoder with Contrastive Learning-Based Feature …
N Saeidi, H Karshenas, B Shoushtarian… - arXiv preprint arXiv …, 2024 - arxiv.org
Breast cancer is a significant global health concern, particularly for women. Early detection
and appropriate treatment are crucial in mitigating its impact, with histopathology …
and appropriate treatment are crucial in mitigating its impact, with histopathology …
Effect of Nigella sativa L. extract and thymoquinone on the genes responsible for cell proliferation, migration and NK cell cytotoxicity in breast cancer
T Korak, Z Emrence, SS Ekmekci, N Abacı, E Ergül - 2024 - nopr.niscpr.res.in
The black cumin, Nigella sativa L. is known to be effective against various diseases
including cancer. Thymoquinone (TQ), active ingredient of N. sativa extracts, can inhibit …
including cancer. Thymoquinone (TQ), active ingredient of N. sativa extracts, can inhibit …
Segmentation, Classification and Interpretation of Breast Cancer Medical Images using Human-in-the-Loop Machine Learning
D Vázquez-Lema, E Mosqueira-Rey… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper explores the application of Human-in-the-Loop (HITL) strategies in training
machine learning models in the medical domain. In this case a doctor-in-the-loop approach …
machine learning models in the medical domain. In this case a doctor-in-the-loop approach …
[HTML][HTML] ALKU-Net: Adaptive Large Kernel Attention Convolution Network for Lung Nodule Segmentation
J Chen, S Liu, Y Liu - Electronics, 2024 - mdpi.com
The accurate segmentation of lung nodules in computed tomography (CT) images is crucial
for the early screening and diagnosis of lung cancer. However, the heterogeneity of lung …
for the early screening and diagnosis of lung cancer. However, the heterogeneity of lung …