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Jun 09, 2025Open Access
This study introduces a novel simulation-based framework that integrates Agent-Based Modelling (ABM) with Reinforcement Learning (RL) to evaluate and optimize policies for mental health crisis response. As mental health crises become increasingly complex and context-specific, traditional fixed-resource strategies may fail to adapt to evolving population needs. To address this, we simulate a diverse synthetic population characterized by varying demographic attributes such as age and gender, as we...
Jun 09, 2025Open Access
Pregnancy introduces a unique clinical dilemma in the management of psychiatric and neurological disorders, where ensuring maternal mental health must be carefully balanced against the potential risks to fetal development. Pharmacological treatments, while often necessary, carry varying degrees of teratogenic risk, particularly when administered during sensitive stages of gestation. In this study, we present an AI-based risk stratification framework that integrates machine learning (ML) and expl...
Jun 09, 2025Open Access
Pregnancy presents a unique clinical scenario where the safety of pharmacological interventions is of paramount importance. The potential teratogenic risks associated with drug intake during pregnancy necessitate a highly informed, evidence-based approach to prescribing. However, the rapid increase in published literature, clinical trials, and drug safety communications poses significant challenges for clinicians attempting to stay current with evolving data. To address this, we propose an AI-po...
Jun 09, 2025Open Access
Neuroleptic Malignant Syndrome (NMS) and anticholinergic toxicity are two different but clinically similar disorders that are commonly seen in neuropsychiatric and emergency toxicological settings. Rapid differential diagnosis is made more difficult by the symptoms of both disorders, which frequently include delirium, heat, and autonomic instability. Interventions that result from misidentification may be detrimental or ineffectual. Using a machine learning-driven methodology, this work attempts...
Jun 09, 2025Open Access
Elderly individuals undergoing long-term neuroleptic therapy are increasingly vulnerable to cognitive decline, a condition that significantly impairs quality of life and increases healthcare burden. One contributing factor is the cumulative anticholinergic burden from prescribed antipsychotic medications. This study aims to explore the relationship between anticholinergic load and cognitive impairment in aging patients using an interpretable machine learning framework. We developed a synthetic d...
Jun 09, 2025Open Access
Managing psychiatric disorders, including depression, anxiety, and bipolar disorder, during pregnancy presents significant clinical challenges due to uncertainties surrounding medication safety and efficacy for both the mother and fetus. This study introduces a novel deep learning (DL)-based decision-support framework aimed at personalizing pharmacotherapy for pregnant patients diagnosed with psychiatric conditions. By leveraging electronic health records (EHRs), pharmacogenomic data, and advanc...
Jun 06, 2025Open Access
Introduction: Pregnancy-induced hypertension (PIH) is a significant cause of morbidity and mortality among expectant mothers. While some women may be unaware of its existence, others hold misconceptions about its nature or attribute symptoms to superstitions. This study aimed to assess the prevalence, risk factors, and complications of pregnancy-related hypertension among women at Tamale Teaching Hospital. Methods: This cross-sectional study utilized hospital re...
Jun 05, 2025Open Access
Despite Parkinson’s Disease (PD) typically being diagnosed after 80% of dopaminergic neurons are lost, evidence suggests that many patients exhibit early symptoms and frequently utilize emergency department (ED) services years before formal diagnosis. Here we examine the untapped potential of EDs in early PD recognition and intervention. Analysis of nearly 14,000 PD patients from two major healthcare systems revealed that 74% visited the ED or urgent care in the two years preceding diagnosis, ye...
Jun 05, 2025Open Access
The relationship between chance and determinism has been analyzed by philosophy, mathematics, and physics. With the aim of identifying the intersection between the two, the Law of Probability Equilibrium (LPE) was demonstrated. When the probabilities of natural phenomena differ from zero and one, the LPE shows that the observed probability is empirical and that the cumulative probability functions of these phenomena measure the imminence of their occurrence (“energy concentration”). These functi...
Jun 05, 2025Open Access
Employees increasingly use social media to showcase achievements, but this self-presentation may unintentionally provoke envy among peers. While past studies have examined workplace envy in offline settings, little research explores how active self-promotion (e.g., posting accomplishments) and passive browsing (e.g., viewing others’ posts) on platforms like LinkedIn, Face-book, or Instagram contribute to envy. Additionally, the role of workplace friendships in reducing this effect remains unclea...
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