Results 101 to 110 of about 2,665,090 (225)

Long‐term stability of periodontal plastic surgery featuring traditional autogenous graft and coronally advanced flap alone

Periodontology 2000, EarlyView.
Abstract Background Coronally advanced flap (CAF), either alone or in combination with a connective tissue graft (CTG), represents one of the most extensively investigated surgical approaches for the treatment of gingival recessions, demonstrating high rates of mean root coverage (MRC) and complete root coverage (CRC). However, evidence regarding their
Giovanni Zucchelli, Ilham Mounssif, Claudio Mazzotti, Diego Bianchelli, Valentina Bentivogli, Matteo Marzadori, Matteo Sangiorgi, Alessandro Zucchelli, Monica Mele, Martina Stefanini   +9 more
wiley   +1 more source

Microbial and host‐derived biomarkers for the diagnosis and management of peri‐implant diseases

Periodontology 2000, EarlyView.
Abstract Objectives To critically evaluate the current evidence on microbial and host‐derived biomarkers for the diagnosis and management of peri‐implant diseases, with emphasis on their biological relevance, potential clinical utility, and current translational limitations.
Su Sheng Quach, Ausra Ramanauskaite, Sašo Ivanovski, Pingping Han, Frank Schwarz, Emilio A. Cafferata   +5 more
wiley   +1 more source

Multiparametric cardiomyocyte profiling with single‐LED excitation reveals subtype‐specific electromechanical coupling in LQTS in vitro

The Journal of Physiology, EarlyView.
Abstract figure legend In vitro profiling of cardiac excitation–contraction coupling by simultaneous optical recording of membrane voltage, intracellular calcium and contraction. Schematic of the single‐LED optical imaging setup enabling simultaneous acquisition of action potentials, calcium and contraction transients (top).
Aleksandr Khudiakov, Chiara Alberio, Davide Fernando Dragani, Federica Giannetti, Angela Bertasini, Manuela Mura, Massimiliano Gnecchi, Alessandra Moretti, Lia Crotti, Peter J Schwartz, Luca Sala   +10 more
wiley   +1 more source

Inference‐Sufficient Representations for High‐Throughput Measurement: Lessons from Lossless Compression Benchmarks in 4D‐STEM

Advanced Computing, Volume 1, Issue 1, December 2026.
Agentic workflows will need a principled account of how data relates to scientific inference. We benchmark thirteen off‐the‐shelf compression implementations; the best already sits within 2.5×$\times$ of the entropy bound. We propose inference‐sufficient representations: model‐based representation, employing abductive inference, can reduce storage a ...
Ondrej Dyck, Andrew R. Lupini, Albina Borisevich, Miaofang Chi, Rama K. Vasudevan, Stephen Jesse   +5 more
wiley   +1 more source

Optimizing Tuberculosis Incidence Prediction: A Systematic Review of Hybrid Modeling Approaches and Machine Learning Techniques

Public Health Challenges, Volume 5, Issue 4, December 2026.
This systematic review and meta‐regression compared the performance of statistical, machine learning, and hybrid models in forecasting tuberculosis (TB) incidence. The study followed PRISMA 2020 guidelines and included studies published between 2010 and 2024. Hybrid models, particularly ARIMA‐LSTM, demonstrated superior forecasting accuracy compared to
Dip Bahadur Singh, Bipindra Pandey, Bibek Giri, Yashoda Dangi, Sagun Kharel, Roshan Kumar Mahato   +5 more
wiley   +1 more source

Bispecific antibodies targeting B‐cell maturation antigen in multiple myeloma: Current clinical applications, challenges and future directions

Cancer, Volume 132, Issue 22, 15 November 2026.
Abstract Anti‐B cell maturation antigen (BCMA) therapies, including antibody‐drug conjugates, chimeric antigen receptor T cells, and bispecific antibodies (bsAbs), have recently revolutionized the treatment landscape of multiple myeloma. This review outlines the biologic rationale for targeting BCMA and sheds light on the mechanism of action of bsAbs ...
Enrica Manzato, Gloria Cocchetto, Simona Barbato, Michele Puppi, Simone Masci, Elena Zamagni   +5 more
wiley   +1 more source

Microfluidic Nano‐Assembly of Red‐Blood‐Cell (RBC) Lipids and Components for Engineering Extracellular Vesicles

Advanced Healthcare Materials, Volume 15, Issue 41, 6 November 2026.
Engineered red blood cell‐derived extracellular vesicles (eRBCEVs) are synthesized via controlled microfluidic assembly from native RBC lipids, enabling tunable encapsulation of proteins, nucleic acids, nanoparticles, and viral vectors. The platform demonstrates reproducible nanoscale architecture, preserved membrane composition, and functional cargo ...
Chiranth K. Nagaraj, Xilal Y. Rima, Kim T. Nguyen, Courtney Culkins, Nana Boateng, Jacob Doon‐Ralls, Alejandro Bresolin, Xin Huang, Hong Li, Vahedi Amid, Ajeet Pal Singh, Dharti Shantaram, Anastasiia Amari, Mangesh D. Hade, Nicholas R. Merriam, Zachary D. Schultz, Scott Q. Harper, Nizar Y. Saad, Setty M. Magaña, Willa A. Hsueh, Rachel E. Kopec, Blaise R. Kimmel, Andre F. Palmer, Eduardo Reátegui   +23 more
wiley   +1 more source

Effect of Wall Motion Sampling on CFD‐Derived Left Atrial Flow Metrics

International Journal for Numerical Methods in Biomedical Engineering, Volume 42, Issue 11, November 2026.
This study quantifies how the temporal resolution of medical imaging affects patient‐specific CFD predictions of left atrial flow. Comparing high‐resolution reference motion with undersampled reconstructions, we show that ≥$$ \ge $$ 20 frames per cardiac cycle yield improved quantitative accuracy for LAA stasis metrics, while lower temporal resolutions
Yvonne Stöcker, Manuel Guerrero‐Hurtado, Eduardo Durán, Alejandro Gonzalo, Zorica Ristić, Åshild Telle, Ahmad Kassar, Romanos Haykal, Nazem Akoum, Patrick M. Boyle, Oscar Flores, Christoph M. Augustin, Juan Carlos del Alamo, Manuel García‐Villalba   +13 more
wiley   +1 more source

A Chaos‐Driven Image Encryption Method With Möbius Transformations and Finite‐Ring Diffusion

Engineering Reports, Volume 8, Issue 11, November 2026.
This paper presents a lightweight yet highly secure image encryption framework integrating chaotic dynamics, HKDF‐S3 key expansion, and Möbius‐Affine transformations. The proposed scheme achieves strong confusion and diffusion with minimal computational cost, demonstrating high resistance to differential and chosen‐plaintext attacks through dynamic key
Nayeem Ahmad Khan, Abdulbasid Banga, Asghar Ali Shah, Sohail Jabbar, Nadeem Iqbal   +4 more
wiley   +1 more source

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

Journal of Forecasting, Volume 45, Issue 7, Page 3170-3190, November 2026.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly, Pooja Sengupta, Divya Aggarwal   +2 more
wiley   +1 more source