Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.ejso.2024.108228 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Synergistic Cancer Photoimmunotherapy by Harnessing Near-Infrared-Activated Nanoparticles Containing Charge Transfer Complexes.
Angew Chem Int Ed Engl
January 2025
The University of Oklahoma, Chemistry and Biochemistry, 101 Stephenson Parkway, 73019, Norman, UNITED STATES OF AMERICA.
Phototherapy - which includes photothermal therapy (PTT) and photodynamic therapy (PDT) - has evoked interest as a promising cancer treatment modality on account of its noninvasiveness, spatiotemporal precision, and minimal side effects. C. Wang et al.
View Article and Find Full Text PDFMicrobes as Resources to Remove PPCPs and Improve Water Quality.
Microb Biotechnol
January 2025
Laboratory of Microbiology, Institute of Biology, University of Neuchatel, Neuchatel, Switzerland.
The inadequate removal of pharmaceuticals and personal care products (PPCPs) by traditional wastewater treatment plants (WWTPs) poses a significant environmental and public health challenge. Residual PPCPs find their way into aquatic ecosystems, leading to bioaccumulation in aquatic biota, the dissemination of antibiotic resistance genes (ARGs), and contamination of both water sources and vegetables. These persistent pollutants can have negative effects on human health, ranging from antibiotic resistance development to endocrine disruption.
View Article and Find Full Text PDFIntegrative Machine Learning of Glioma and Coronary Artery Disease Reveals Key Tumour Immunological Links.
J Cell Mol Med
January 2025
Department of Cardiology, Guizhou Provincial People's Hospital, Guiyang, Guizhou Province, China.
It is critical to appreciate the role of the tumour-associated microenvironment (TME) in developing strategies for the effective therapy of cancer, as it is an important factor that determines the evolution and treatment response of tumours. This work combines machine learning and single-cell RNA sequencing (scRNA-seq) to explore the glioma tumour microenvironment's TME. With the help of genome-wide association studies (GWAS) and Mendelian randomization (MR), we found genetic variants associated with TME elements that affect cancer and cardiovascular disease outcomes.
View Article and Find Full Text PDFHarnessing machine learning to predict prostate cancer survival: a review.
Front Oncol
January 2025
Department of Urology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
The prediction of survival outcomes is a key factor in making decisions for prostate cancer (PCa) treatment. Advances in computer-based technologies have increased the role of machine learning (ML) methods in predicting cancer prognosis. Due to the various effective treatments available for each non-linear landscape of PCa, the integration of ML can help offer tailored treatment strategies and precision medicine approaches, thus improving survival in patients with PCa.
View Article and Find Full Text PDFInnovating intervertebral disc degeneration therapy: Harnessing the power of extracellular vesicles.
J Orthop Translat
January 2025
Department of Spine Surgery, Tianjin Hospital, Tianjin University, Tianjin, China.
Unlabelled: Intervertebral disc degeneration is the leading cause of low back pain, imposing significant burdens on patients, societies, and economies. Advancements in regenerative medicine have spotlighted extracellular vesicles as promising nanoparticles for intervertebral disc degeneration treatment. Extracellular vesicles retain the potential of cell therapy and serve as carriers to deliver their cargo to target cells, thereby regulating cell activity.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!