Results 191 to 200 of about 266,359 (347)
Machine Learning for Predictive Modeling in Nanomedicine‐Based Cancer Drug Delivery
The integration of AI/ML into nanomedicine offers a transformative approach to therapeutic design and optimization. Unlike conventional empirical methods, AI/ML models (such as classification, regression, and neural networks) enable the analysis of complex clinical and formulation datasets to predict optimal nanoparticle characteristics and therapeutic
Rohan Chand Sahu +3 more
wiley +1 more source
Dataset for a randomised factorial experiment to optimise an information leaflet for women with breast cancer. [PDF]
Green SMC, Smith SG.
europepmc +1 more source
This review highlights recent advancements in Severe Plastic Deformation (SPD) techniques tailored for tubular samples. The mechanisms of processing are critically discussed with emphasis on microstructural control and the governing process parameters that enable refinement to ultrafine‐ and nano‐grained structures. Comparative insights into equivalent
Eman M. Zayed +5 more
wiley +1 more source
Effectiveness of behavior change techniques to address barriers to follow-up colonoscopy: results from an online survey and randomized factorial experiment. [PDF]
Kerrison RS +7 more
europepmc +1 more source
Randomization and Factorial Experiments
Ehrenfeld, S., Zacks, S.
openaire +3 more sources
FRACTIONAL FACTORIALS IN A CASE STUDY NUTRITION EXPERIMENT WITH BANANA TREES
Paulo César Ribeiro +3 more
openalex +2 more sources
ABSTRACT This paper examines the impacts of Volume‐Based Procurement (VBP) policies on pharmaceutical supply chains, with a focus on the strategic behaviors of manufacturers. VBP aims to reduce costs and stabilize supplies by centralizing procurement through competition based on volumes and prices.
Nani Zhou, Tong Wang, Guohua Wan
wiley +1 more source
Designing Fractional Factorial Split-Plot Experiments with Few Whole-Plot Factors [PDF]
Derek Bingham +2 more
openalex +1 more source

