Results 211 to 220 of about 349,591 (291)

Vaccination in Oncology Patients: Evidence, Clinical Challenges, and Future Directions. [PDF]

Vaccines (Basel)
Agostara AG, Della Torre S, Di Bella S, Pelliccione M, Candido P, Smiroldo V, Roazzi L, Ciarlo G, Toniolo D, Zannier F, Bollina R.   +10 more
europepmc   +1 more source

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

The current landscape of therapeutic vaccination approaches for treatment of HPV-dependent malignancies. [PDF]

NPJ Vaccines
Audouze-Chaud J, Schlosser AK, Riemer AB.   +2 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

Cognitive factors associated with willingness to receive three important vaccines among older adults: A protection motivation theory perspective. [PDF]

Hum Vaccin Immunother
Peng X, Huang R, Walker AN, Zhang L, Miao Y, Yu Q, Li L.   +6 more
europepmc   +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

What do parents of school-aged children want to know about HPV vaccination in Canada? Results of an online survey on Facebook. [PDF]

Can Commun Dis Rep
Dipankui MT, Giguère B, O'Doherty KC, Pucci A.   +3 more
europepmc   +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

Impact of Vaccines Across the Lifespan: A New Perspective in Public Health-Conclusions of an Expert Panel-Part 1. [PDF]

Vaccines (Basel)
Debbag R, Ávila-Agüero ML, Brea J, Espinal C, Romero-Feregrino R, Torres JR, Vázquez H, Cuadros R, Lazo-Páez G, Schilling A, Bonvehí P, Kairalla M, Rodríguez-Morales AJ.   +12 more
europepmc   +1 more source

Machine Learning‐Augmented Loop‐Mediated Isothermal Amplification‐Enabled Point‐of‐Care for Mpox‐Specific Detection

Advanced Intelligent Systems, EarlyView.
A low‐cost, portable point‐of‐care platform for rapid Mpox detection using loop‐mediated isothermal amplification is reported. The device integrates fluorescence readout and mobile monitoring. A machine‐learning model analyzes temperature data and correlates thermal changes with DNA concentration, enabling sensitive and reliable molecular diagnosis in ...
Nazente Atceken, Ahmed Choukri Abdullah, Olgac Ozarslan, Ziya Yıldız, Savas Tasoglu   +4 more
wiley   +1 more source