AI‐based localization of the epileptogenic zone using intracranial EEG
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
Prediction of postoperative nausea and vomiting in patients undergoing sedated gastrointestinal endoscopy based on machine learning. [PDF]
Yao Y +11 more
europepmc +1 more source
Local-LDA: Open-Ended Learning of Latent Topics for 3D Object Recognition
Hamidreza Kasaei +2 more
openalex +2 more sources
ABSTRACT Glioblastoma (GBM) is the most aggressive type of primary brain tumor, and its invasive properties contribute significantly to incomplete surgical resection and tumor recurrence. Despite extensive clinical efforts to mitigate GBM invasion, targeted therapies against GBM stem cells (GSCs), which drive invasion, remain incompletely understood ...
Rui Niu +3 more
wiley +1 more source
ABSTRACT Animal protein and plant protein make the protein supplement more comprehensive and further optimize the nutritional structure of the national diet. In this study, a “dual protein” Lueyang black‐boned chicken and black bean soup (FS) was prepared.
Mengya Zhao +6 more
wiley +1 more source
The Top 100 Cited Articles on Lumbar Disc Arthroplasty: A Bibliometric Analysis. [PDF]
Mastrokostas PG +9 more
europepmc +1 more source
Reflective Pathways: Integrating Empathy Into the STEM Student Experiences
ABSTRACT The growing demand for a globally competent STEM workforce showcases the importance of embedding empathy into undergraduate education. As a core dimension of global competence, empathy enables individuals to engage diverse perspectives and navigate collaborative challenges.
Aparajita Jaiswal +3 more
wiley +1 more source
Bacteriophage vB_SalS_KY05 controls <i>Salmonella</i> in poultry without disrupting cecal microbiota composition. [PDF]
Wu WY, Wang R, An YN, Lin YY.
europepmc +1 more source
Machine Learning Approaches for GC–MS Data Interpretation in Flavour and Fragrance Analysis
The review explores machine learning integration in GC‐MS data analysis for the fragrance and flavour industry, highlighting recent advances and techniques in a context constrained by data scarcity and intellectual property concerns. ABSTRACT This review explores the integration of machine learning (ML) in the analysis of mass spectrometry data ...
Jean‐Baptiste Coffin +3 more
wiley +1 more source
Research on the detection of foreign materials in tobacco shreds based on hyperspectral reflection imaging technology combined with machine learning. [PDF]
Xie D +7 more
europepmc +1 more source

