Results 151 to 160 of about 775,984 (386)
Efficacy and Safety Aiming at the Combined-Modality Therapy of External Beam Radiotherapy (40Gy) and Iodine-125 Seed Implantation for Locally Advanced NSCLC in the Elderly. [PDF]
Tian LJ +6 more
europepmc +1 more source
The Evolving Role of Combined Modality Therapy in Head and Neck Cancer [PDF]
K. Thomas Robbins
openalex +1 more source
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz +3 more
wiley +1 more source
Randomized Phase II Study of PET Response-Adapted Combined Modality Therapy for Esophageal Cancer: Mature Results of the CALGB 80803 (Alliance) Trial. [PDF]
Goodman KA +17 more
europepmc +1 more source
This review highlights recent advances in label‐free optical biosensors based on 2D materials and rationally designed mixed‐dimensional nanohybrids, emphasizing their synergistic effects and novel functionalities. It also discusses multifunctional sensing platforms and the integration of machine learning for intelligent data analysis.
Xinyi Li, Yonghao Fu, Yuehe Lin, Dan Du
wiley +1 more source
Combined techniques of treatment for ischemic stroke are even more often included into routine work of specialized teams. One of them based on a combination of systemic thrombolytic therapy and endovascular methods is characterized by a high rate of ...
A. S. Nekrasov +3 more
doaj +2 more sources
Combined modality therapy of central nervous system tumours [PDF]
R Rampling
openalex +1 more source
Pathways to improving combined modality therapy for stage III nonsmall-cell lung cancer.
S. Schild, E. Vokes
semanticscholar +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source

