Results 281 to 290 of about 759,583 (365)
Abstract Quantitative risk assessments of chemicals are routinely performed using in vivo data from rodents; however, there is growing recognition that non‐animal approaches can be human‐relevant alternatives. There is an urgent need to build confidence in non‐animal alternatives given the international support to reduce the use of animals in toxicity ...
Marc A. Beal +14 more
wiley +1 more source
Estrogen-Mediated Regulation of Fam3d in Mouse Uterus During the Estrous Cycle. [PDF]
Kim H +8 more
europepmc +1 more source
Abstract Regulatory genetic toxicology focuses on DNA damage and subsequent gene mutations. However, genotoxic agents can also affect epigenetic marks, and incorporation of epigenetic data into the regulatory framework may thus enhance the accuracy of risk assessment.
Roger Godschalk +4 more
wiley +1 more source
Abstract Objective To evaluate the efficacy of vagus nerve stimulation (VNS) as an adjunctive treatment in pediatric patients with treatment‐resistant epilepsy during the transition to adolescence. Methods We performed a retrospective cohort study of 30 children (ages 2–18 years) with medication‐resistant epilepsy who underwent VNS implantation between
Jonadab dos Santos Silva +4 more
wiley +1 more source
Retraction: Phospho-Aspirin-2 (MDC-22) Inhibits Estrogen Receptor Positive Breast Cancer Growth Both In Vitro and In Vivo by a Redox-Dependent Effect. [PDF]
PLOS One Editors.
europepmc +1 more source
Abstract Objective Topiramate has been linked to increased glaucoma risk, potentially through mechanisms involving ocular fluid shifts. However, comparative risks vs other antiseizure medications (ASMs) and variation by sex or indication remain uncertain.
Cuiling Wei +10 more
wiley +1 more source
Exercise performance at different phases of the menstrual cycle: measurements, differences, and mechanisms - a narrative review. [PDF]
Wen Y, Gao B, Wang R, Zhao C.
europepmc +1 more source
Ambient technology in epilepsy clinical practice
Abstract The utilization of large language model‐based artificial intelligence (AI) in the field of neurology has gained attention as a viable tool to enhance and assist providers with processes ranging from scheduling patients to providing preliminary interpretations of testing results, pending orders, and documenting encounters. Epileptologists could
Haania Kakwan +3 more
wiley +1 more source

