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
Examining social camouflaging and its cognitive, mental health and neurophysiological correlates in autistic adolescents through triangulation-based assessment using self, parent and daily diary reports: a study protocol. [PDF]
Klein J +7 more
europepmc +1 more source
Cerebral organoids are transforming brain research, yet the field remains fragmented. This comprehensive systematic review maps 738 studies published between 2014 and 2024 to uncover trends, gaps, and opportunities across neuroscience. Introducing OrganoidMap—an interactive, open‐access platform to explore and compare models—this work enables ...
Anna Wolfram +10 more
wiley +1 more source
Effects of digital cognitive-behavioral therapy for insomnia in heavy drinkers with insomnia: A replication and extension study. [PDF]
Verlinden JJ +6 more
europepmc +1 more source
Oxygen and ROS Delivery for Infected Wound Healing and Future Prospects
Bacterial infection is a major driver of delayed wound healing and postsurgical readmissions; with rising antibiotic resistance, solid peroxide–releasing biomaterials offer sustained delivery of ROS/O2 for antimicrobial control and microenvironmental modulation.
Ayden Watt +7 more
wiley +1 more source
Translation and validation of the Swedish version of the problematic experience of therapy scale (PETS-Swe) for patients with peripheral nerve injuries in the hand. [PDF]
Wijk U, Larsson SL, Svingen J.
europepmc +1 more source
Text Mining of CVD Synthesis Recipes for 2D Materials
A lightweight, multi‐stage natural language processing framework utilizes fine‐tuned BERT models to extract chemical vapor deposition synthesis knowledge from diverse 2D materials literature. The domain‐adapted workflow integrates classification, named entity recognition, and extractive question answering to systematically retrieve categorical and ...
Ang‐Yu Lu +11 more
wiley +1 more source
Stress Characteristics and Their Associations With Pain Intensity: An Ecological Momentary Assessment Study. [PDF]
Ghoussoub K +8 more
europepmc +1 more source

