Results 51 to 60 of about 1,256,851 (285)
Aging and Cancer, EarlyView.This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel +4 more
wiley +1 more source
A Lightweight Entropy–Curvature-Based Attention Mechanism for Meningioma Segmentation in MRI Images
Applied SciencesMeningiomas are a common type of brain tumor. Due to their location within the cranial cavity, they can potentially cause irreversible damage to adjacent brain tissues.
Yifan Guan +5 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu +14 more
wiley +1 more source
Visual Feedback System Supporting Robotic Manipulation of Hemp Plants
Journal of Natural FibersThis paper presents an agricultural robotics system designed to automate the detection and manipulation of male hemp plants, addressing the challenge of manually removing these to enhance crop quality.
Marek Kraft +6 more
doaj +1 more source
Arthritis Care &Research, EarlyView.Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Network based approach for drug target identification in early onset Parkinson’s disease
Scientific ReportsDespite the abundance of large-scale molecular and drug-response data, current research on early-onset Parkinson’s disease (EOPD) markers often lacks mechanistic interpretations of drug-gene relationships, limiting our understanding of how drugs exert ...
Ashmita Dey +3 more
doaj +1 more source
Comparison of Deep Learning and the Classical Machine Learning Algorithm for the Malware Detection
, 2018 Recently, Deep Learning has been showing promising results in various Artificial Intelligence applications like image recognition, natural language processing, language modeling, neural machine translation, etc.
Rathore, Hemant +2 more
core +1 more source
Arthritis Care &Research, Accepted Article.Objective The objective of this article is to identify perceptions of SLE patients regarding artificial intelligence (AI)‐based online symptom assessment tools, and the potential of these tools to address diagnostic barriers. Methods Adults from our SLE research cohort were invited to participate in 60‐90 minute virtual focus groups concerning their ...
Olivia A. Stein +7 more
wiley +1 more source
Dynamic Expected Threat (DxT) Model: Addressing the Deficit of Realism in Football Action Evaluation
Applied SciencesEvaluating player actions in football is essential for understanding match dynamics and optimizing team strategies. Traditional models, such as the widely adopted Expected Threat (xT) model, assign static threat values to pitch zones without considering ...
Karim Hassani +2 more
doaj +1 more source