Results 201 to 210 of about 927,198 (297)
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
Determining the Validity of a New Speech Perception Test for Toddlers With and Without Hearing Loss. [PDF]
Houston DM +3 more
europepmc +1 more source
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Synthetic Nanobiology Actuated Lipometabolic Cell Factory for Autologous Tumor Immunotherapy
FA plays a crucial role in the interaction between tumor cells and the tumor microenvironment, especially for the immune response. A biocatalytic immunoenhancement strategy is developed to boost antitumor immunity by FA metabolic orientation to ceramide. Through the design of this delicate catalytic immunoenhancement strategy, the synthetic nanobiology
Shoujie Zhao +8 more
wiley +1 more source
Latency-Aware Benchmarking of Large Language Models for Natural-Language Robot Navigation in ROS 2. [PDF]
Das M, Hussain Z, Nawaz M.
europepmc +1 more source
A vertically stacked, DEA‐driven photonic array inspired by cephalopod skin, featuring highly crystalline colloidal crystal gels with vivid color, low FWHM and scalability is presented. The multilayer design removes lateral pixel interference, achieving near‐100% fill factor with fully independent RGB actuation.
Maga Kim +11 more
wiley +1 more source
Evaluation of AI language models in answering pregnancy-related questions assessed by obstetrics specialists. [PDF]
Keyif B +3 more
europepmc +1 more source
Combining joint factor analysis and iVectors for robust language recognition [PDF]
Demuynck, Kris +2 more
core
Fibrous benzenetrispeptide (BTP) hydrogels, fabricated via strain‐promoted azide‐alkyne cycloaddition (SPAAC) crosslinking, form robust, bioinert networks. These hydrogels can support 3D cell culture, where cell viability and colony growth depend on the fiber content.
Ceren C. Pihlamagi +5 more
wiley +1 more source
Characterizing Autism Traits in Toddlers with Down Syndrome: Preliminary Associations with Language, Executive Functioning, and Other Developmental Domains. [PDF]
Edgar TC +5 more
europepmc +1 more source

