Results 181 to 190 of about 75,534 (305)

Impact of prenatal sirolimus on cardiac rhabdomyomas and brain tubers

Ultrasound in Obstetrics &Gynecology, EarlyView.
ABSTRACT Objective To document the natural progression of fetal cardiac rhabdomyomas and evaluate the impact of prenatal sirolimus (PNS) on tumor size, cardiac complications and brain‐tuber size. Methods This was a single‐center retrospective cohort study of pregnancies with suspected fetal cardiac rhabdomyoma referred to our center from April 2013 to ...
S. Vergote, L. Van Der Veeken, D. Chitayat, E. Jaeggi, G. Ryan, E. Miller, S. Shinar   +6 more
wiley   +1 more source

Repurposing Antiepileptic Drugs for Cancer: A Promising Therapeutic Strategy. [PDF]

J Clin Med
Tarawneh N, Hussein SA, Abdalla S.
europepmc   +1 more source

Zebrafish EEG predicts the efficacy of antiepileptic drugs. [PDF]

Front Pharmacol, 2022
Shin JN, Lee KB, Butterworth W, Park SK, Kim JY, Kim S.   +5 more
europepmc   +1 more source

Improving drug identification in overdose death surveillance by using clinical natural language processing models

Journal of Forensic Sciences, EarlyView.
Abstract The rising rate of drug‐related deaths in the United States, largely driven by fentanyl, requires timely and accurate surveillance. However, critical overdose data are often buried in free‐text coroner reports, leading to delays and information loss when coded into ICD (International Classification of Disease)‐10 classifications.
Arthur J. Funnell, Panayiotis Petousis, Fabrice Harel‐Canada, Ruby Romero, Alex A. T. Bui, Adam Koncsol, Hritika Chaturvedi, Chelsea Shover, David Goodman‐Meza   +8 more
wiley   +1 more source

A Comparison of AI and Population PK Models to Predict the Concentrations of Antiepileptic Drugs Using Therapeutic Drug Monitoring Records. [PDF]

Clin Transl Sci
Chung TK, Lee H.
europepmc   +1 more source

Development of Antiepileptic Drugs throughout History: From Serendipity to Artificial Intelligence. [PDF]

Biomedicines, 2023
Corrales-Hernández MG, Villarroel-Hagemann SK, Mendoza-Rodelo IE, Palacios-Sánchez L, Gaviria-Carrillo M, Buitrago-Ricaurte N, Espinosa-Lugo S, Calderon-Ospina CA, Rodríguez-Quintana JH.   +8 more
europepmc   +1 more source

Neural Correlates of Cognitive Improvement After Virtual Reality‐Based Cognitive Remediation in Psychosis and Mood Disorders: A Randomized Controlled Trial

Acta Psychiatrica Scandinavica, EarlyView.
ABSTRACT Introduction Cognitive impairment in mood disorders and schizophrenia spectrum disorders hampers patients' clinical and functional outcomes. A key challenge in pro‐cognitive treatment development is the limited insight into the underlying neurocircuitry correlates of cognitive changes.
Viktoria Damgaard, Andreas Elleby Jespersen, Ida Kruse Søndergaard, Anders Lumbye, Maj Vinberg, Louise Birkedal Glenthøj, Merete Nordentoft, Anjali Sankar, Gitte Moos Knudsen, Julian Macoveanu, Kamilla Woznica Miskowiak   +10 more
wiley   +1 more source

Dried Blood Spot Analysis for Simultaneous Quantification of Antiepileptic Drugs Using Liquid Chromatography-Tandem Mass Spectrometry. [PDF]

Rapid Commun Mass Spectrom
Abady MM, Jeong JS, Kwon HJ.
europepmc   +1 more source

Second Generation of Antiepileptic Drugs and Oxidative Stress. [PDF]

Int J Mol Sci, 2023
Kośmider K, Kamieniak M, Czuczwar SJ, Miziak B.   +3 more
europepmc   +1 more source

Predicting Cognitive Change During Treatment for Inpatient Depression: Secondary Analysis From a Randomized Controlled Trial

Acta Psychiatrica Scandinavica, EarlyView.
ABSTRACT Introduction Individuals hospitalized with depression are particularly impacted by cognitive impairment. Identifying variables that predict improvements in cognition across treatment may inform more targeted and effective treatment approaches. We conducted secondary analyses to investigate baseline predictors of objective cognitive change in a
Zoe A. Odering, Jennifer Jordan, Cameron J. Lacey, Christopher M. Frampton, Richard J. Porter, Katie M. Douglas   +5 more
wiley   +1 more source