Results 171 to 180 of about 2,544,276 (249)

CHCHD10 Mitigates Alzheimer's Disease‐Related Phenotypes in Association With Epigenetic Remodeling in Directly Reprogrammed Neurons

open access: yesAdvanced Science, Volume 13, Issue 51, 14 September 2026.
CHCHD10 loss in Alzheimer's disease is associated with mitochondrial dysfunction, epigenomic disruption, and tau pathology. Restoration of CHCHD10 shifts DNA methylation toward a non‐disease state and reduces tau and amyloid pathology, with KATNAL2 acting as a downstream effector.
Teresa M. Thomas   +13 more
wiley   +1 more source

Identification of major congenital malformations based on healthcare databases in France: A proof‐of‐concept study using the epi‐meres nationwide mother–child register

open access: yesBritish Journal of Clinical Pharmacology, Volume 92, Issue 9, Page 3037-3048, September 2026.
Abstract Aim Besides registries, healthcare databases can provide useful information for assessing the frequency of major congenital malformations (MCMs) and investigating their risk factors, particularly medication exposures. This study aimed to assess the validity of MCMs identification based on French national, comprehensive healthcare databases ...
Tom Duchemin   +7 more
wiley   +1 more source

Hepatic adverse effects of valproic acid: Management strategies.

open access: yesIndian J Pharmacol
Bouaziz I   +6 more
europepmc   +1 more source

Supratherapeutic drug concentration triggers: A novel data‐driven approach to assess their value for medication safety surveillance in intensive care

open access: yesBritish Journal of Clinical Pharmacology, Volume 92, Issue 9, Page 3191-3201, September 2026.
Aims Electronic triggers (e‐triggers) are used as screening signals to detect potential adverse drug events (ADEs) and offer an effective system level approach for medication safety surveillance. Their clinical utility is typically evaluated through time‐consuming manual chart review by experts, limiting implementation.
Anne Paulien Langermans   +40 more
wiley   +1 more source

Evaluating the Performance of Traditional Pharmacoepidemiologic and Machine Learning Models to Predict Pregnancies at Risk of Major Congenital Malformations

open access: yesBirth Defects Research, Volume 118, Issue 9, September 2026.
ABSTRACT Background With approximately 50% of pregnancies being unplanned, there is an unintended exposure to potential feto‐toxic drugs that may cause major congenital malformations (MCM). This study aims to compare the predictive performance between traditional pharmacoepidemiologic (PE) and machine learning (ML) models. Methods We conducted a cohort
Gabra Nohmie   +7 more
wiley   +1 more source

Machine Learning for Valproic Acid Therapy: A Scoping Review of Pharmacokinetic-Prediction Models and Pharmacokinetic-Informed Clinical Outcome Models. [PDF]

open access: yesPharmaceutics
Methaneethorn J   +5 more
europepmc   +1 more source

Natural Compounds Targeting Oncogenic Signaling Networks in Glioblastoma: Molecular Mechanisms, Translational Advances, and Clinical Perspectives

open access: yesBrain and Behavior, Volume 16, Issue 9, September 2026.
Glioblastoma (GBM) is a highly aggressive brain tumor with a poor prognosis, driven by abnormal signaling pathways that promote growth and resistance to treatment. Conventional therapies are inadequate, highlighting the need for novel multitargeted approaches.
Mehrukh Zehravi   +13 more
wiley   +1 more source

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