Results 81 to 90 of about 93,163 (295)

Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito, Chiara Meneghini, Alice Galli, Luca Gallo, Pierfrancesco Mitrotti, Paola Dimartino, Marianna Inglese, Cinzia Zatti, Alessandro Lupini, Andrea Pilotto, Alessandro Padovani, Micol Avenali, Enza Maria Valente, Cristina Tassorelli, Silvia P. Caminiti   +14 more
wiley   +1 more source

Normal‐Appearing White Matter Injury Mediates Chronic Deep Venous Hypoxia and Disease Progression in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore how cerebral hypoxia and Normal‐Appearing White Matter (NAWM) integrity affect MS lesion burden and clinical course. Methods Seventy‐nine MS patients, including 13 clinically isolated syndrome (CIS) patients and 66 relapsing–remitting multiple sclerosis (RRMS) patients, and 44 healthy controls (HCs) were recruited from ...
Xinli Wang, Huiying Wang, Zhizheng Zhuo, Ai Guo, Ke Lv, Decai Tian, Chao Chai, Yunyun Duan, Shuang Xia   +8 more
wiley   +1 more source

Multi-Partner project: dAIEDGE - A network of excellence for distributed, trustworthy, efficient and scalable AI at the edge [PDF]

International audienceThe dAIEDGE Network of Excellence (NoE) seeks to strengthen and support the development of a dynamic European cutting-edge Artificial intelligence (AI) ecosystem under the umbrella of the European Lighthouse for AI, and to sustain ...
Vasiliadis, Giorgos, Grazia, Carlo Augusto, Benini, Luca, Selim, Mohamed, Cavicchioli, Roberto, Massonet, Philippe, Dupertuis, Baptiste, Pagani, Alain, Clerkin, Brian, Vyas, Devendra, Mishra, Varesh, Jammal, Manal, Wiehle, Stefan, Gambardella, Giulio, Huguenin, Maïck, Parra Domínguez, Javier, Cano, José, Mandapati, Srikanth, Capotondi, Alessandro, Di Mauro, Alfio, Divernois, Margaux, Hidri, Klodjan K., Potocnik, Viviane, de Prado, Miguel, Vallez, Noelia, Haris, Jude, Vincenzi, Enrico, Vizár, Damian, Odriozola, Juan, Garcia Gangoiti, Ander, Favre, Dorvan, Deniz, Oscar, Abidin, Aysajan, Günzel, Dominik, Bilas, Angelos, Kozanitis, Christos, Shrivastav, Chinmay Satish, Sañudo Olmedo, Ignacio, Pazos, Nuria, Verrucchi, Micaela, Prasad, Rohit, Rebstein, Gregoire, Kling, Paul, Stratigopoulos, Haralampos-G., Al Koutayni, Mhd Rashed, Lessage, Xavier, Raptis, Spyridon   +46 more
core  

Discordance Between Systemic Lupus Erythematosus Disease Activity Index Domain Weights and Their Association With Organ Damage Accrual

Arthritis Care &Research, EarlyView.
Objective Studies of damage accrual in patients with systemic lupus erythematosus (SLE) show associations with disease activity measured by the SLE Disease Activity Index 2000 (SLEDAI‐2K), but these associations are imperfect. SLEDAI scores are powerfully influenced by weightings (1–8) assigned to each domain.
Kevin Zhang, Eric F. Morand, Sarah E. Boyd, François Petitjean, Alberta Hoi, Rachel Koelmeyer, Iolanda Miceli, Julie A. Monk, Hieu T. Nim   +8 more
wiley   +1 more source

An Energy-Efficient Intelligence Sharing Scheme in Intelligence Networking-Empowered Edge Computing

IEEE Access
Advanced artificial intelligence (AI) and multi-access edge computing (MEC) technologies facilitate the development of edge intelligence, which enables the intelligence learned from remote cloud to network edge.
Junfeng Xie, Qingmin Jia, Fengliang Lu
doaj   +1 more source

On the Sustainability of AI Inferences in the Edge

CoRR
The proliferation of the Internet of Things (IoT) and its cutting-edge AI-enabled applications (e.g., autonomous vehicles and smart industries) combine two paradigms: data-driven systems and their deployment on the edge. Usually, edge devices perform inferences to support latency-critical applications.
Ghazal Sobhani, Md. Monzurul Amin Ifath, Tushar Sharma 0001, Israat Haque 0001   +3 more
openaire   +2 more sources

Engagement Patterns with an AI Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

Arthritis Care &Research, Accepted Article.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed‐methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah, Melanie Morris, Cristina Daraban, Sophia Johnson, Susan L. Murphy   +4 more
wiley   +1 more source

AI Flow at the Network Edge

IEEE Network
Recent advancements in large language models (LLMs) and their multimodal variants have led to remarkable progress across various domains, demonstrating impressive capabilities and unprecedented potential. In the era of ubiquitous connectivity, leveraging communication networks to distribute intelligence is a transformative concept, envisioning AI ...
Jiawei Shao, Xuelong Li 0001
openaire   +2 more sources

Revisiting Stability Criteria in Ball‐Milled High‐Entropy Alloys: Do Hume–Rothery and Thermodynamic Rules Equally Apply?

Advanced Engineering Materials, Volume 27, Issue 6, March 2025.
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez, Alejandro F. Manchón‐Gordón, Antonio Vidal‐Crespo, Rafael Caballero‐Flores, Jhon J. Ipus, Clara F. Conde   +5 more
wiley   +1 more source

CloudSkin: ML-based smart management for the cloud-edge continuum [PDF]

The CloudSkin project embraces ML-based autonomous management technologies, introducing the Learning Plane (LP), which provides services and methods to embed intelligence in Cloud-Edge Continuum management layers.
Nestorov, Anna Maria, Nou Castell, Ramon, Guitart Fernández, Jordi, Berral García, Josep Lluís, Palacín Marfil, Marc, Liu, Peini   +5 more
core   +2 more sources