[HTML][HTML] Enhancing the therapeutic efficacy of nanoparticles for cancer treatment using versatile targeted strategies
Poor targeting of therapeutics leading to severe adverse effects on normal tissues is
considered one of the obstacles in cancer therapy. To help overcome this, nanoscale drug …
considered one of the obstacles in cancer therapy. To help overcome this, nanoscale drug …
[HTML][HTML] UK Biobank: a globally important resource for cancer research
MC Conroy, B Lacey, J Bešević, W Omiyale… - British Journal of …, 2023 - nature.com
UK Biobank is a large-scale prospective study with deep phenotyping and genomic data. Its
open-access policy allows researchers worldwide, from academia or industry, to perform …
open-access policy allows researchers worldwide, from academia or industry, to perform …
[HTML][HTML] Machine learning: a new prospect in multi-omics data analysis of cancer
Cancer is defined as a large group of diseases that is associated with abnormal cell growth,
uncontrollable cell division, and may tend to impinge on other tissues of the body by different …
uncontrollable cell division, and may tend to impinge on other tissues of the body by different …
Omics approaches for the assessment of biological responses to nanoparticles
Y Abdelkader, L Perez-Davalos, R LeDuc… - Advanced Drug Delivery …, 2023 - Elsevier
Nanotechnology has enabled the development of innovative therapeutics, diagnostics, and
drug delivery systems. Nanoparticles (NPs) can influence gene expression, protein …
drug delivery systems. Nanoparticles (NPs) can influence gene expression, protein …
[HTML][HTML] Identification and characterization of post-translational modifications: Clinical implications
J Hermann, L Schurgers, V Jankowski - Molecular aspects of medicine, 2022 - Elsevier
Post-translational modifications (PTMs) generate marginally modified isoforms of native
peptides, proteins and lipoproteins thereby regulating protein functions, molecular …
peptides, proteins and lipoproteins thereby regulating protein functions, molecular …
Artificial intelligence (AI) and machine learning (ML) in precision oncology: a review on enhancing discoverability through multiomics integration
Multiomics data including imaging radiomics and various types of molecular biomarkers
have been increasingly investigated for better diagnosis and therapy in the era of precision …
have been increasingly investigated for better diagnosis and therapy in the era of precision …
[HTML][HTML] Biomedical applications of MnO2 nanomaterials as nanozyme-based theranostics
S Sisakhtnezhad, M Rahimi, S Mohammadi - Biomedicine & …, 2023 - Elsevier
Abstract Manganese dioxide (MnO 2) nanoenzymes/nanozymes (MnO 2-NEs) are 1–100
nm nanomaterials that mimic catalytic, oxidative, peroxidase, and superoxide dismutase …
nm nanomaterials that mimic catalytic, oxidative, peroxidase, and superoxide dismutase …
[HTML][HTML] Multi-omics integration for the design of novel therapies and the identification of novel biomarkers
T Ivanisevic, RN Sewduth - Proteomes, 2023 - mdpi.com
Multi-omics is a cutting-edge approach that combines data from different biomolecular
levels, such as DNA, RNA, proteins, metabolites, and epigenetic marks, to obtain a holistic …
levels, such as DNA, RNA, proteins, metabolites, and epigenetic marks, to obtain a holistic …
[HTML][HTML] The future of precision oncology
Our understanding of the molecular mechanisms underlying cancer development and
evolution have evolved rapidly over recent years, and the variation from one patient to …
evolution have evolved rapidly over recent years, and the variation from one patient to …
[HTML][HTML] Mass spectrometry-based proteomics as an emerging tool in clinical laboratories
AG Birhanu - Clinical Proteomics, 2023 - Springer
Mass spectrometry (MS)-based proteomics have been increasingly implemented in various
disciplines of laboratory medicine to identify and quantify biomolecules in a variety of …
disciplines of laboratory medicine to identify and quantify biomolecules in a variety of …