Results 161 to 170 of about 3,362,668 (327)
Identifying Drugs Associated With Parkinson's Disease Risk Using Machine Learning
Basic &Clinical Pharmacology &Toxicology, Volume 138, Issue 3, March 2026.ABSTRACT Machine learning (ML)–based methods have been proposed as a potential approach for identifying candidate drugs to be repurposed as disease‐modifying treatments for Parkinson's disease (PD). We applied an ML‐based signal detection method to identify drugs associated with PD and evaluated the method's generalizability.
Eeva Pylkkö +8 more
wiley +1 more source
12 Antipsychotic Agents for Treatment of Schizophrenia in the Emergency Department [PDF]
Andrea Shehaj +4 more
openalex +1 more source
Regulation of P-glycoprotein expression in brain capillaries in Huntington’s disease and its impact on brain availability of antipsychotic agents risperidone and paliperidone [PDF]
, 2015 Yu-Han Kao +4 more
openalex +1 more source
British Journal of Clinical Pharmacology, Volume 92, Issue 2, Page 515-524, February 2026.Aims Spontaneous reporting of adverse drug reactions (ADR) after a product has reached the market is essential for drug safety. This study analysed patient ADR reports and compared them with reports from the Japanese Adverse Drug Event Report (JADER) database to identify differences and trends.
Masami Tsuchiya +5 more
wiley +1 more source
Machine learning methods for predicting adverse drug events: A systematic review
British Journal of Clinical Pharmacology, Volume 92, Issue 2, Page 422-444, February 2026.Abstract Predicting adverse drug events (ADEs) in outpatient settings is crucial for improving medication safety, identifying high‐risk patients and reducing health‐care costs. While traditional methods struggle with the complexity of health‐care data, machine learning (ML) models offer improved prediction capabilities; however, their effectiveness in ...
Niaz Chalabianloo +8 more
wiley +1 more source
Neuropharniacological effects of penfluridol, a new antipsychotic agent
, 1975 Keizo Ito +3 more
openalex +1 more source
Ricinus Communis: Nutritional Importance, Health Benefits, and Industrial Applications
eFood, Volume 7, Issue 1, February 2026.The current paper summarizes the nutritional composition, phytochemistry, health benefits, safety studies, and applications of castor beans and their oil. Moreover, the diverse bioactive compounds, including saponins, emodins, terpenoids, anthraquinones, flavonoids, steroids, and alkaloids, exhibit therapeutic properties such as antioxidant, anticancer,
Hassan Raza +13 more
wiley +1 more source
Dystonia Secondary to Use of Antipsychotic Agents
, 2012 Nobutomo Yamamoto, Inada Toshiya
openalex +2 more sources
Pharmacological MRI: Utility in Understanding Drug Mechanisms in Psychiatric Disorders
Journal of Magnetic Resonance Imaging, Volume 63, Issue 2, Page 346-363, February 2026.ABSTRACT Pharmacological MRI (pharmaMRI) has emerged as a powerful tool to study how psychoactive drugs affect brain function and to uncover mechanisms of drug action in psychiatric disorders. This review provides an overview of key techniques used in pharmaMRI, including BOLD‐fMRI, arterial spin labeling (ASL), and cerebral blood volume (CBV) mapping,
Christin Y. Sander +4 more
wiley +1 more source