Results 181 to 190 of about 4,847 (258)

The Challenge of Handling Structured Missingness in Integrated Data Sources

Advanced Intelligent Discovery, Volume 2, Issue 4, August 2026.
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson, Marius Hofert, Eleni‐Rosalina Andrinopoulou, Niels Hagenbuch, Sarah McGough, Chris Harbron, Robin Mitra   +6 more
wiley   +1 more source

Cell type annotation for scATAC-seq via DNA large language model and graph domain adaptation. [PDF]

PLoS Comput Biol
Liu Y, Guan S, Yan H, Shen LC, Qiang JP, Wei G.   +5 more
europepmc   +1 more source

Machine Learning‐Based Prediction of Poor Outcomes in Intracerebral Hemorrhage: A Systematic Review and Meta‐Analysis

Brain and Behavior, Volume 16, Issue 8, August 2026.
ABSTRACT Background Spontaneous intracerebral hemorrhage (ICH) is associated with high risks of mortality and disability, yet early and accurate outcome prediction remains challenging. This study systematically evaluated the performance of machine learning (ML) models in predicting key adverse outcomes (hematoma expansion [HE], poor functional outcome,
Qi Deng, Weitao Cheng, Hui Lu, Nan Fei, Rong He, Yuanyuan Chen, Jianlong Bi, Wenluo Zhang   +7 more
wiley   +1 more source

Automatic diagnosis of age-related macular degeneration using machine learning and image processing techniques. [PDF]

Sci Rep
Agarwal D, Bhargava A, Alsharif MH, Saeed S, Alsharif NHM.   +4 more
europepmc   +1 more source

Investigating the Impact of Fast‐Paced Digital Content, Social Media Engagement, and Lifestyle Factors on Attention, Cognitive Load, and Behavioral Impulsivity: A Machine Learning Approach

Brain and Behavior, Volume 16, Issue 8, August 2026.
ABSTRACT Background The increase in fast‐paced digital content and changes in lifestyle among young adults have raised concerns about their effects on cognitive functions. While many studies have looked into this connection, few have used strong machine learning models to predict subclinical cognitive outcomes based on real‐world, self‐reported ...
Arfatul Islam Asif, Sanjoy Das Joy, Mustakim Billah, Unayes Ahmed Khan, Ibnul Mansib, Sheikh Md. Azizul Hoque Munna, Anupam Kumar Bairagi, Abdullah Al Noman   +7 more
wiley   +1 more source

Influence of Training-Testing Data Variation on ML-Based Deflection Prediction of GFRP-Reinforced High-Strength Concrete Beams. [PDF]

Polymers (Basel)
Karabulut M.
europepmc   +1 more source

SPP1‐driven spatial niche remodelling defines aggressive progression in the basal subtype of upper tract urothelial carcinoma

Clinical and Translational Medicine, Volume 16, Issue 8, August 2026.
Basal upper tract urothelial carcinoma has a largely stage‐independent immunestromal background that is spatially reorganized with muscle invasion into an SPP1‐associated myeloidstromal boundary program and a more heterogeneous angiogenic program.
Qi Zhang, Zhipeng Wen, Ziyang Yang, Xuezhi Long, Jieshen Xian, Yueting Huang, Yufei Liu, Yubo Wang, Jiahao Cheng, Gengjia Chen, Xuekun Zhang, Tuxiong Huang, Di Gu   +12 more
wiley   +1 more source

A fashion product recommendation based on adaptive VPKNN-NET algorithm without fuzzy similar image. [PDF]

Front Big Data
Sabitha R, Sundar D.
europepmc   +1 more source

A Bacterial Microbiome Is Dispensable for the Induction of CD8 T Cell Exhaustion

European Journal of Immunology, Volume 56, Issue 8, August 2026.
We infected Germ‐free and normal SPF mice infected with strains of LCMV that cause chronic infections. In both types of mice, T cell exhaustion progressed to similar levels. Thus, the microbiome is dispensable for the induction of T cell exhaustion.
Miriam Kuhlmann, Daphne Del Carmen Kolland, Gustavo Pereira de Almeida, Christian Hoffmann, Madlaina von Hoesslin, Jacqueline Berner, Christine Wurmser, Anna Akulich, Anna M. Schulz, Carl‐Philipp Hackstein, Caspar Ohnmacht, Dietmar Zehn   +11 more
wiley   +1 more source

A novel adaptive sigma KNN model for depression and anxiety detection following the COVID 19 pandemic. [PDF]

Sci Rep
Arora P, Dahiya S.
europepmc   +1 more source