Results 151 to 160 of about 1,252,906 (248)

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

Advanced 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, Sara Soltanabadi Farshi, Tuanna Ozcan, Amir Mohammad Ketabchi, Alper Kiraz, Savas Tasoglu   +5 more
wiley   +1 more source

Spatiotemporal distribution of SARS-CoV-2 vaccines and vaccine-related proteins in mice and humans. [PDF]

Sci Rep
Heinrich F, Lücke J, Zhang S, Sabihi M, Bernreuther C, Giersch K, Allweiss L, Hartmann K, Thies E, Lange P, Matschke J, Kühl AA, Mothes R, Radbruch H, Schröder AS, Heinemann A, Dandri M, Aepfelbacher M, Huber S, Giannou A, Glatzel M, Ondruschka B, Lütgehetmann M, Krasemann S.   +23 more
europepmc   +1 more source

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

Advanced 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, Muhammad Zulqarnain Zeb, Muhammad Husnain Zeb, Babar Shabbir   +3 more
wiley   +1 more source

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

Advanced 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, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

Causal analysis of trade loss from pathogens: A global study of foot and mouth disease impacts on meat exports

American Journal of Agricultural Economics, EarlyView.
Abstract Our general interest is in global trade loss from livestock pathogens, specifically exports. We adopt a causal inference approach that considers animal disease outbreaks over time as non‐staggered binary treatments with the potential for switching in (infection) and out of treatment (recovery) within the sample period. The outcome evolution of
Mohammad Maksudur Rahman, Thomas L. Marsh   +1 more
wiley   +1 more source

Closing Editorial-Special Issue on "Vaccines and Vaccination: HIV, Hepatitis Viruses and HPV". [PDF]

Vaccines (Basel)
Moretti S, Schietroma I.
europepmc   +1 more source

The intersection of health inequalities and COVID‐19: Evidence from National Health Insurance Big Data in South Korea

American Journal of Community Psychology, EarlyView.
Abstract Health inequalities persist along lines of income and wealth, shaped by unequal access to healthcare, differences in health behaviors, and pre‐existing chronic conditions. The COVID‐19 pandemic further put families in Korea under health strain and worsened their health outcomes.
Jaehyun Nam, Sarah Jiyoon Kwon, Wonik Lee, Eunji Kim   +3 more
wiley   +1 more source

Intention to Receive the TAK-003 Dengue Vaccine and Associated Factors Among Adults in Rural Northern Thailand. [PDF]

Vaccines (Basel)
Polpitakchai C, Pangprasertkul S, Rusmevichientong P, Yamsiri R, Panumasvivat J, Sirikul W, Sapbamrer R, Luo S, Lin C, Kitro A.   +9 more
europepmc   +1 more source