Results 201 to 210 of about 4,057,470 (304)
Developmental, Neuroanatomical and Cellular Expression of Genes Causing Dystonia
ABSTRACT Objective Dystonia is one of the most common movement disorders, with variants in multiple genes identified as causative. However, an understanding of which developmental stages, brain regions, and cell types are most relevant is crucial for developing relevant disease models and therapeutics.
Darren Cameron +5 more
wiley +1 more source
Persistent adaptation through dual-timescale regulation of ion channel properties. [PDF]
Mondal Y, Calabrese RL, Marder E.
europepmc +1 more source
Correction: Review of recent observations of magnetic holes in the solar wind
C. Y. Li +10 more
doaj +1 more source
ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi +2 more
wiley +1 more source
Space Physiology and Technology: Adaptations, Countermeasures, and Opportunities for Wearable Systems. [PDF]
Khan SUE +4 more
europepmc +1 more source
Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability
ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein +13 more
wiley +1 more source
A Survey of Current Operations-Ready Thermospheric Density Models for Drag Modeling in LEO Operations. [PDF]
Mutschler S +10 more
europepmc +1 more source
ABSTRACT Objective Glioma recurrence severely impacts patient prognosis, with current treatments showing limited efficacy. Traditional methods struggle to analyze recurrence mechanisms due to challenges in assessing tumor heterogeneity, spatial dynamics, and gene networks.
Lei Qiu +10 more
wiley +1 more source
Untangling biological complexity: A deep learning approach to separating multiple signals in single-cell data. [PDF]
Yau C.
europepmc +1 more source

