Results 61 to 70 of about 271,177 (332)
Introduction This study sought to develop a predictive model using CT-based habitat radiomics to forecast pathological complete response (pCR) and progression-free survival (PFS) in esophageal squamous cell carcinoma (ESCC) patients receiving ...
Shujun Zhang MS +5 more
doaj +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
Beamlet-free optimization for Monte Carlo based treatment planning in proton therapy [PDF]
Danah Pross +5 more
openalex +1 more source
We propose a suture‐complementary approach that integrates optical skin clearing with a strain‐programmable luminescent adhesive patch. Hyaluronic acid promotes transdermal delivery of tartrazine to improve optical clearing and stabilizes its interaction with a photosensitizer. Optical clearing increases the penetration depth of visible light into skin,
Seong‐Jong Kim +6 more
wiley +1 more source
No fast neutron therapy facility has been built with optimized beam quality based on a thorough understanding of the neutron spectrum and its resulting biological effectiveness.
Allison, T.K. Kroc
core +1 more source
This article presents a photo‐responsive nanoparticle platform that precisely triggers copper‐dependent cuproptotic cell death in (drug‐resistant) cancer cells. The system remains stable and inactive in the dark but releases cytotoxic species upon red‐light irradiation, achieving potent activity in drug‐resistant breast cancer cells.
Ricarda Zimmermann +2 more
wiley +1 more source
The scenario-based generalization of radiation therapy margins
We give a scenario-based treatment plan optimization formulation that is equivalent to planning with geometric margins if the scenario doses are calculated using the static dose cloud approximation.
Bokrantz, Rasmus, Fredriksson, Albin
core +1 more source
Background The purpose of the present study was to retrospectively evaluate the safety and efficacy of proton beam therapy (PBT) in patients with second primary lung cancer after lung resection.
Takashi Ono +7 more
doaj +1 more source
Adaptive Hydrogels With Spatiotemporal Stiffening Using pH‐Modulating Enzymes
The chemomechanical coupling in an adaptive hydrogel is studied to further the development of adaptive hydrogels. This coupling is achieved by embedding a pH‐modulating enzyme in a pH‐responsive hydrogel. The enzymatic reaction can be triggered locally, which generates a pH‐decreasing wave throughout the system, increasing the crosslinking density and ...
Natascha Gray +3 more
wiley +1 more source
Strategies for Loading and Releasing Peptide Therapeutics in Biodegradable Carriers
A biodegradable carrier‐based peptide delivery system is a powerful treatment platform for diverse diseases, owing to its superior therapeutic efficacy and low toxicity. This review examines the conventional peptide‐loaded carrier fabrication process and its current limitations.
Wookyoung Jang, Ki Wan Bong
wiley +1 more source

