This article explains how ontology-based semantic layers work and advocates for their use as versatile enterprise tools. They add shared meaning, context, and governance to data, improving integration, analytics, oversight, and AI reliability across organizational systems.
Artificial intelligence-enabled approaches show promise for earlier and more objective ALS detection, but the current literature is dominated by small, retrospective, single-site studies.
Dhinesh Selvaraju, Kishore Durairaj, Krishna Ravi· The Egyptian Journal of Neur...· 0 citations
Multiple sclerosis (MS) is a chronic neurological disorder affecting the central nervous system,
causing a range of symptoms including vision problems, fatigue, and motor dysfunction. Early and
accurate diagnosis is crucial for effective treatment and management of the disease. Magnetic
Resonance Imaging (MRI) plays a...
Raghad Khairullah Abdulazeez Kando· Research Journal of Pure Sci...· 0 citations
This systematic review consolidates recent advances in ML for MS diagnosis and monitoring and proposes a task-based taxonomy linking clinical objectives to methodological families, providing a comprehensive roadmap toward building robust, data-efficient, and trustworthy ML systems for clinical decision support in MS.
Marthe Elgawly, Beyza Nur Elaslan, Marco Cascio et al.· IEEE Access· 0 citations
Multimodal fusion architectures, particularly cross-attention transformers integrating motor, voice, and gait data, consistently outperformed unimodal approaches by 4%-8% in the area under the receiver operating characteristic curve (AUC), with the largest gains in early stage detection and differential diagnosis tasks...
Muhammad Imran Khan, A. Imran, A. Alshammari· Computational biology and ch...· 0 citations
Recent progress in AI-driven approaches for AD detection is discussed and the importance of interdisciplinary strategies to facilitate earlier diagnosis, improve patient outcomes, and support more effective management of Alzheimer's disease is underscored.
Hakar Hasan Rasheed, Naaman Omar Yaseen· Academic Journal of Internat...· 0 citations
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
Microsoft Research Blog· microsoft.comOct 22, 2026
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.