Results 91 to 100 of about 5,768,137 (296)
Cutaneous Melanoma Drives Metabolic Changes in the Aged Bone Marrow Immune Microenvironment
Melanoma, the deadliest form of skin cancer, increasingly affects older adults. Our study reveals that melanoma induces changes in iron and lipid levels in the bone marrow, impacting immune cell populations and increasing susceptibility to ferroptosis.
Alexis E. Carey +12 more
wiley +1 more source
Digital trace data are an important resource for the study of social life and human behavior. Digital trace data document users’ interactions with digital information systems. This includes interactions on social media services – like Facebook, TikTok, or X (Twitter) – as well as interactions with devices – such as smart phones or smart speakers.
Peter Neijens +3 more
+4 more sources
Data-Driven Consensus Protocol Classification Using Machine Learning
The consensus protocol plays a vital role in the performance and security of a specific Distributed Ledger Technology (DLT) solution. Currently, the traditional classification of consensus algorithms relies on subjective criteria, such as protocol ...
Marco Marcozzi +3 more
doaj +1 more source
Inhibition of Classical and Alternative Complement Pathway by Ravulizumab and Eculizumab
ABSTRACT Objective To explore the feasibility of classical (CH50) and alternative (AH50) complement pathway activity as potential biomarkers for treatment guidance and monitoring during therapy with ravulizumab in patients with generalized myasthenia gravis (gMG) and compare these to therapeutic drug monitoring under eculizumab.
Lea Gerischer +14 more
wiley +1 more source
Data privacy by design: digital infrastructures for clinical collaborations
The clinical sciences have arguably the most stringent security demands on the adoption and roll-out of collaborative e-Infrastructure solutions such as those based upon Grid-based middleware.
Ajayi, O., Sinnott, R.O., Stell, A.J.
core
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein +7 more
wiley +1 more source
Siamese networks excel at comparing two images, serving as an effective class verification technique for a single‐per‐class reference image. However, when multiple reference images are present, Siamese verification necessitates multiple comparisons and ...
Bernardas Ciapas, Povilas Treigys
doaj +1 more source
Data Science & Digital Society
Data Science looks at raw numbers and informational objects created by different disciplines. The Digital Society creates information and numbers from many scientiHic disciplines. The amassment of data though makes is hard to Hind structures and requires a skill full analysis of this massive raw material.
Chen, Cathy Yi-Hsuan +1 more
openaire +2 more sources
Use of Symptomatic Drug Treatment for Fatigue in Multiple Sclerosis and Patterns of Work Loss
ABSTRACT Objective To describe the use of central stimulants and amantadine for fatigue in MS and evaluate a potential association with reduced work loss in people with MS. Methods We conducted a nationwide, matched, register‐based cohort study in Sweden (2006 to 2023) using national registers with prospective data collection.
Simon Englund +3 more
wiley +1 more source
Unlocking Learning: Investigating the Replayability of Educational Games
Recently, gamification has emerged as an effective approach to captivate users, particularly in the context of online education. Although there has been a rise in the recent surge of articles on gamification, there is still a lack of research on the ...
Rose Oluwaseun Adetunji +1 more
doaj +1 more source

