Results 171 to 180 of about 49,141 (264)

Nanostructured Deep Eutectic Systems in Healthcare: From Bioactive Solvents to Intelligent Biointerfaces, Wearables, and AI‐Driven Design

Advanced NanoBiomed Research, EarlyView.
Beyond the green solvent paradigm, this review redefines Deep Eutectic Systems (DES) as programmable supramolecular nanoassemblies. We survey their biomedical convergence: stabilizing thermolabile mRNA to enable cold chain‐free logistics, reshaping transdermal microneedle delivery, enabling long‐term wearables via eutectogels, and utilizing Generative ...
Jeesu Moon, Min Seo Kim, Jae‐Seung Lee
wiley   +1 more source

Machine learning method for the prediction of Bedaquiline-resistant <i>Mycobacterium tuberculosis</i>. [PDF]

Life Sci Alliance
Ghosh S, Bhattacharjee S, Saha S.
europepmc   +1 more source

A multidimensional ensemble pipeline for early detection of IUGR condition through CTG. [PDF]

Front Digit Health
Spairani E, Steyde G, Podda F, Signorini MG, Magenes G.   +4 more
europepmc   +1 more source

Research on segmentation method of elderly cardiovascular disease feature images based on artificial intelligence multi-scale feature fusion. [PDF]

Sci Rep
Chen B, Wei L, Longhua P, Cheng Z, Cheng C, Fangfang M.   +5 more
europepmc   +1 more source

Estimation of hemoglobin concentration at the initiation of cardiopulmonary bypass using support vector regression. [PDF]

J Extra Corpor Technol
Hirano H, Takahashi S, Kamei T, Hibiya M.   +3 more
europepmc   +1 more source

Development and evaluation of clinical pregnancy prediction models for intrauterine insemination using three machine learning algorithms. [PDF]

Front Endocrinol (Lausanne)
Fu Y, Li D, Xia X, Li C, Wang J, Zhang C.   +5 more
europepmc   +1 more source

Integrating machine learning, deep learning, and image analysis for seed species classification

Applications in Plant Sciences, EarlyView.
Abstract Premise The growing demand for wildflower seeds in ecological restoration requires reliable species identification, yet current market products often contain heterogeneous species. As seed identification is labor‐intensive and requires advanced botanical knowledge, we evaluated multiple segmentation and classification approaches to determine ...
Jonathan Ashworth, Eloise Barrett, Rebonto Haque, Ben Wildey, Anthony Hall, Felix Shaw, Jose J. De Vega   +6 more
wiley   +1 more source

MLPs are Hebbians: Constructing Efficient Fact-Storing MLPs for Transformers

Large language models (LLMs) store factual knowledge in their parameters. While recent work has shown that this knowledge resides in MLP layers, existing constructive and mechanistic interpretability models of fact-storage in LLMs fail to explain the surprising empirical phenomenon that they store facts at an information-theoretically optimal rate.
Garcia, Roberto, Liu, Jerry, Junkins, Ronny, Eyuboglu, Sabri, Rudra, Atri, Ré, Christopher   +5 more
openaire   +1 more source

A modular deep learning architecture for interpretable disease prediction across tabular clinical and biometric datasets. [PDF]

PLoS One
Rathod VU, Amrutkar SS, Patil KA, Londhe AD, Bobade SY, Dhotre VA, Kebede MW.   +6 more
europepmc   +1 more source

Morphological variation in atlas and axis of Neotropical spiny rats (Rodentia, Echimyidae)

The Anatomical Record, EarlyView.
Abstract The unique morphologies of the first two cervical vertebrae, the atlas and axis, represent a significant innovation in mammalian evolution. These structures support the weight of the head and enable intricate movements of the head and neck.
Thomas Furtado da Silva Netto, João Felipe Leal Kaiuca, Adriana Itatí Olivares, William Corrêa Tavares   +3 more
wiley   +1 more source