Results 201 to 210 of about 51,658 (311)

Deep Learning Prediction of Surface Roughness in Multi‐Stage Microneedle Fabrication: A Long Short‐Term Memory‐Recurrent Neural Network Approach

open access: yesAdvanced Intelligent Discovery, EarlyView.
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour   +5 more
wiley   +1 more source

Machine Learning‐Enhanced Random Matrix Theory Design for Human Immunodeficiency Virus Vaccine Development

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah   +3 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

open access: yesAdvanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova   +4 more
wiley   +1 more source

Neutrophils induce effective antibody responses to the pneumococcal conjugate vaccine by inhibiting regulatory T cells [PDF]

open access: gold
Essi Y. I. Tchalla   +7 more
openalex   +1 more source

Digital Point‐of‐Care Testing Device Based on Bioluminescent Pyrophosphate in Real‐Time and Recombinase‐aid Amplification

open access: yesAdvanced Intelligent Systems, EarlyView.
A point‐of‐care testing method based on solvent‐responsive magnetic beads suitable for large‐area diagnosis and mutation screening in remote areas was developed to detect it by combining bioluminescenct pyrophosphate in real‐time technology and recombinase‐aid amplification technology.
Zhongjie Fei   +8 more
wiley   +1 more source

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