Results 61 to 70 of about 4,599 (236)
. Aims Traditional pharmacovigilance detects single drug–event associations but cannot readily characterize multi‐system adverse‐event patterns such as fluoroquinolone‐associated disability. We evaluated unsupervised machine learning for this purpose, using fluoroquinolones as an exemplar.
Niaz Chalabianloo +3 more
wiley +1 more source
Mitochondria‐endoplasmic reticulum contact sites (MERCS) are areas where the mitochondria and endoplasmic reticulum closely interact. In this study, we utilize synthetic organelle glues to artificially engineer MERCS for regulating cardiomyocyte development, through which the immature and chemo‐plasticity issues of undifferentiated cells are addressed.
Wei Tang +9 more
wiley +1 more source
ABSTRACT Human atrial chambers derive from distinct embryonic anlagens, the original embryonic atria gradually transforming into the so‐called auricles, or atrial appendages. This study quantifies macroscopic variations in pectinate muscle architecture in human atrial appendages and evaluates their visualization using clinical imaging modalities.
Markéta Lexová +11 more
wiley +1 more source
Continuing advancements in human pluripotent stem cell (hPSC)-derived complex three-dimensional (3D) cardiac tissues require the development of novel technologies or adaptation of existing technologies to understand the physiology of the derived 3D cardiac tissues.
Ravichandra Venkateshappa +6 more
openaire +3 more sources
Advances in New Approach Methodologies at FDA's Division of Applied Regulatory Science
New Approach Methodologies (NAMs) represent a paradigm shift in drug development and regulatory science, offering human‐relevant alternatives to traditional preclinical models. This mini‐review highlights recent advances in NAM development, validation, and regulatory application from FDA's Division of Applied Regulatory Science (DARS).
Ksenia Blinova +9 more
wiley +1 more source
WONOEP appraisal: Biomarkers and treatment strategies beyond the synapse
Abstract Epilepsy is a heterogeneous neurological disorder affecting more than 70 million people worldwide, posing significant challenges for clinicians due to its complex etiology, diverse manifestations, variable treatment responses, and the inability to predict seizures or disease onset reliably.
Mirte Scheper +11 more
wiley +1 more source
Hippocampal network activity changes during early epileptogenesis predict subsequent epilepsy
Abstract Objective Despite decades of research, the circuit mechanisms that underlie focal epileptogenesis remain incompletely understood. In this study, we aimed to characterize the changes in hippocampal network activity induced by an epileptogenic insult.
Michael Strüber +13 more
wiley +1 more source
Abstract Objective Interictal electroencephalographic (EEG) activities are generally considered asymptomatic. Pulse wave amplitude drop (PWAD) is a marker of autonomic nervous system (ANS) reactivity linked to cardiovascular risk. Generalized paroxysmal fast activity (GPFA) is a major EEG pattern in different epileptic conditions.
Julie Lévi‐Strauss +6 more
wiley +1 more source
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
Abstract Objective Sudden unexpected death in epilepsy (SUDEP) is a leading cause of premature mortality in people with epilepsy, particularly in those with tonic–clonic seizures (TCSs), developmental and epileptic encephalopathies (DEEs), and drug‐resistant epilepsy.
Vincenzo Belcastro +10 more
wiley +1 more source

