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Jun 09, 2025Open    Access

AI-Powered NLP Framework for Extracting Drug Safety Information in Pregnancy

Rocco de Filippis,Abdullah Al Foysal
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...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1113509


Jun 09, 2025Open    Access

Clinical Strategies for Managing Anticholinergic Toxicity in Overdose vs. Neuroleptic Malignant Syndrome: Diagnostic Challenges and Therapeutic Interventions

Rocco de Filippis,Abdullah Al Foysal
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...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1113510


Jun 09, 2025Open    Access

Comparative Analysis of Anticholinergic Burden and Cognitive Decline in Elderly Patients on Long-Term Neuroleptic Therapy

Rocco de Filippis,Abdullah Al Foysal
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...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1113511


Jun 09, 2025Open    Access

Deep Learning for Personalized Pharmacotherapy in Pregnant Women with Psychiatric Disorders

Rocco de Filippis,Abdullah Al Foysal
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...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1113512


Jun 06, 2025Open    Access

Prevalence, Risk Factors, and Outcomes of Pregnancy-Induced Hypertension at Tamale Teaching Hospital, Northern Region

Ana Maria Simono Charadan,Kojo Opoku Boamah,Sasha Hernandez
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...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1113362


Jun 05, 2025Open    Access

Early Recognition of Parkinson’s Disease in Emergency Medicine: Commentary on an Unrealized Opportunity for Improved Care and Research in Movement Disorders

Sopiko Jimsheleishvili,Jordan Shlain,Dustin W. Ballard,Timothy F. Platts-Mills,Stephanie Barnett,Suneil Agrawal,Vanessa A. Bender,Matthew R. Lewin
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...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1112890


Jun 05, 2025Open    Access

Law of Probability Equilibrium (LPE)?and Bounded Randomness: Light in?the Universe, Photon Emission?and Black Holes

Ignacio Traversa
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...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1113091


Jun 05, 2025Open    Access

The Relationship between Employees Self-Presentation on Social Media and Peer Envy: Workplace Friendship as a Moderator

Hasnae Atif
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...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1113526


Jun 05, 2025Open    Access

A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites

Alvina T. Budoen,Mingwu Zhang,Laban Zephaniah Edwards Jr.
The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by security issues, including phishing attacks that represent one of the biggest problems to internet users, leading to financial loss and identity theft. The ability of Machine learning and ensemble learning models to process large datasets and complex relationships, and to learn from data have made it easier t...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1113566


Jun 04, 2025Open    Access

Management of Biliary Acute Pancreatitis and Timing of Cholecystectomy: Experience from Joseph Imbert Hospital in Arles

Noubail Soukaina,Djahed Ibraahim,Alibert Sophie
Biliary acute pancreatitis (BAP) is a frequent and potentially severe condition requiring appropriate and timely management to reduce complications and recurrence. This study reviews the clinical characteristics and therapeutic approaches to BAP, with a particular focus on the timing of cholecystectomy. The analysis highlights a discrepancy between current international guidelines, which recommend performing cholecystectomy during the same hospitalization, and real-life practices in a regional h...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1113388


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