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
An NGS-assisted diagnostic workflow for culture-independent detection of bloodstream pathogens and prediction of antimicrobial resistances in sepsis. [PDF]
Pinzauti D +11 more
europepmc +1 more source
Infrastructure and workflow for the formal evaluation of semantic search technologies [PDF]
Stuart N. Wrigley +2 more
openalex +1 more source
Ethical considerations on the use of machine translation and crowdsourcing in cascading crises [PDF]
Moniz, Helena, Parra Escartín, Carla
core +1 more source
Free‐Form Microfluidic Microneedle Array Patches
Microfluidic microneedle array patches (MAPs) integrate hollow microneedles with embedded microfluidic channels, fabricated using high‐resolution 3D printing, to enable controlled transdermal delivery of liquid, mixed, or reconstituted therapeutics.
Ian A. Coates +11 more
wiley +1 more source
TraceMetrix: a traceable metabolomics interactive analysis platform. [PDF]
Chen W +13 more
europepmc +1 more source
This review discusses cellulose‐based hydrogels technology, analyzes their application progress in physiological signal monitoring, and explores the effects of pretreatment, crosslinking, and molding methods on gel performance, to provide valuable insights into the efficient utilization of plant fibers and the environmentally friendly development of ...
Zhiming Wang +8 more
wiley +1 more source
Ice Lithography: Recent Progress Opens a New Frontier of Opportunities
This review focuses on recent advancements in ice lithography, including breakthroughs in compatible precursors and substrates, processes and applications, hardware, and digital methods. Moreover, it offers a roadmap to uncover innovation opportunities for ice lithography in fields such as biological, nanoengineering and microsystems, biophysics and ...
Bingdong Chang +9 more
wiley +1 more source
Autonomous Artificial Intelligence in Diabetic Retinopathy Testing-Lessons Learned on Successful Health System Adoption. [PDF]
Teng CW +8 more
europepmc +1 more source
A UV‐crosslinkable soft anisotropic conductive film (ACF) provides high‐resolution, room‐temperature electrical interfacing. Upon UV exposure, azide crosslinkers within the ACF matrix form covalent bonds with a wide range of C–H‐containing materials, resulting in interfaces that are both mechanically durable and electrically reliable.
Jun Choi +7 more
wiley +1 more source

