Results 251 to 260 of about 2,085,409 (278)

Artificial Intelligence in Invisible Orthodontics: From Digital Impressions to Adaptive Treatment Management

Engineering Reports, Volume 8, Issue 10, October 2026.
Digital transformation in orthodontics has significantly revolutionized clinical practices over recent decades. Machine learning algorithms, particularly convolutional neural networks (CNNs) and artificial neural networks (ANNs), offer superior performance in tasks such as identifying anatomical landmarks on radiographic images, assessing skeletal ...
Soodeh Hosseini, Hossein Seilani, At‐har Nasari   +2 more
wiley   +1 more source

Explainable Machine Learning for Predicting Global Malaria Incidence From 2000 to 2022 With Climatic and Extreme Weather Conditions Across 78 Endemic Countries: A Retrospective Ecological Study

Health Science Reports, Volume 9, Issue 10, October 2026.
ABSTRACT Background and Aims Malaria remains a major global health concern, causing substantial morbidity and mortality, especially in tropical and subtropical regions with limited healthcare resources. Climatic conditions and extreme weather events are increasingly recognized as critical determinants of malaria transmission, yet their relative ...
Md. Abu Bokkor Shiddik, Md. Abdullah Al Fahad Sohan   +1 more
wiley   +1 more source

From Rhizosphere to Resistance: Microbe‐Plant Interactions in Eco‐Smart Biocontrol

MicrobiologyOpen, Volume 15, Issue 5, October 2026.
Conceptual framework of eco‐smart biocontrol: Root exudates released by plants shape rhizosphere microbial community assembly by selectively recruiting beneficial microorganisms. These microbes suppress phytopathogens through direct mechanisms such as antibiosis, parasitism, enzyme production, and niche competition, while simultaneously activating ...
Shilpy Singh, Varun Kumar Sharma, Dharmsheel Shrivastav, Jayant M. Kushwaha, Manoj Kumar Mishra, Mirza Masroor Ali Beg   +5 more
wiley   +1 more source

Influence of 3D Printing Parameters on ULTEM 9085 Mechanical Properties Using Explainable Machine Learning

SPE Polymers, Volume 7, Issue 4, October 2026.
An explainable machine‐learning framework predicts complete stress–strain behavior and key mechanical properties of FFF‐printed ULTEM 9085 from four printing parameters. Extra Trees delivered the most accurate and stable predictions, while SHAP and LIME clarified how each parameter influences material performance.
Md Asif Hasan, Mohammad Reza Chalak Qazani, Kassandra Herrnandez, Avijit Paul, Hadi Fathollahi Abdar, Mehdi Moayyedian, Houshyar Asadi, Devin J. Roach   +7 more
wiley   +1 more source

Deep Learning Predicts Hematopoietic Stem Cell Aging From 3D Chromatin Images

Aging Cell, Volume 25, Issue 10, October 2026.
Deep learning identifies age‐associated chromatin architecture signatures in 3D images of hematopoietic stem cell nuclei, providing an interpretable imaging biomarker that distinguishes young from aged cells and detects chromatin rejuvenation after treatment.
Pablo Iáñez Picazo, Eva Mejía‐Ramírez, Dario Di Bari, Elena Vitali, Maria Carolina Florian, Paula Petrone   +5 more
wiley   +1 more source

What if Adam Smith Debated an AI Economist: A Thought Experiment on Markets, Ethics, and the Invisible Hand

Business Ethics, the Environment &Responsibility, Volume 35, Issue 4, Page 3433-3447, October 2026.
ABSTRACT Can AI‐driven capitalism sustain the moral preconditions of market order? We stage a dialogue between Adam Smith and a steel‐manned “EconAI” to test four Moral‐Market‐Fitness criteria: trustworthiness, fairness, non‐domination, and contestability, across 11 dilemmas.
Alexandra‐Codruța Bîzoi, Cristian‐Gabriel Bîzoi   +1 more
wiley   +1 more source

Forecasting and Explaining Ethanol Price Through Shapley Additive Explanations: Evidence From Two Decades of Panel Agroeconomic Data in Brazil

GCB Bioenergy, Volume 18, Issue 10, October 2026.
Explainable AI reveals how biological feedstock quality, energy markets, and policy factors jointly shape ethanol price dynamics. Deep learning improves forecasting accuracy while identifying sugarcane quality (TRS), gasoline prices, taxation, and macroeconomic variables as key drivers in a major bioenergy system.
Marilaine Colnago, Lucas A. B. de Matos, José Nuno Fidalgo, Rogério G. Negri, Wallace Casaca   +4 more
wiley   +1 more source

Large Language Models and Retrieval‐Augmented Platforms for the Diagnosis and Management of Periodontal Diseases: A Blinded Expert‐Rated Comparative Study of 11 Systems

Journal of Clinical Periodontology, Volume 53, Issue 10, Page 1546-1556, October 2026.
ABSTRACT Aim To compare retrieval‐augmented systems with general‐purpose large language models (LLMs) on standardised periodontal clinical vignettes. Materials and Methods Eleven AI systems were evaluated: nine general‐purpose LLMs, one general‐purpose retrieval‐augmented platform (Perplexity) and one medical‐domain retrieval‐augmented platform ...
Yaniv Mayer, Bertha Demetriou, Giulio Rasperini, Eran Gabay, Rok Gašperšič, Darko Božić, Javier Calatrava, Ofir Ginesin, Hadar Zigdon Giladi, Ricardo Faria Almeida   +9 more
wiley   +1 more source