OALib 期刊
  OALib Journal (ISSN Print: 2333-9705, ISSN Online: 2333-9721)是一本多合一的开源期刊,以同行评审的方式出版发行文章,其所涵盖的研究领域多达311种领域。本刊发表的全部文章均可在期刊网站上免费阅读、下载、引用和传播。单篇文章出版费用为99美元。详情请咨询service@oalib.com 或 QQ: 3279437679 WhatsApp +8615387084133。现在就去投稿!
               文章    |    目标与领域    |    读者指南    |    编委    |    文章版面费    |    检索             


Go

Jun 23, 2025Open    Access

Pharmacogenomic Approaches to Predicting Susceptibility to Neuroleptic Malignant Syndrome and Severe Anticholinergic Adverse Effects: A Multi-Modal Explainable AI Framework

Rocco de Filippis,Abdullah Al Foysal
Neuroleptic Malignant Syndrome (NMS) and severe anticholinergic adverse drug reactions (ADRs) are rare but life-threatening complications associated with antipsychotic pharmacotherapy. These conditions often arise unpredictably, posing significant challenges in psychiatric clinical practice. Current risk stratification approaches lack the granularity to account for complex interplays between genetic predispositions, pharmacological profiles, and individual patient characteristics. In this study,...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1113517


Jun 13, 2025Open    Access

Mechanisms and Risk Factors Linking Neuroleptic Malignant Syndrome (NMS) to Dopaminergic and Autonomic Dysfunction

Rocco de Filippis,Abdullah Al Foysal
Neuroleptic Malignant Syndrome (NMS) is a rare but life-threatening neurological emergency that arises primarily from the use of dopamine antagonist antipsychotic medications. Clinically, it is characterized by hyperthermia, muscle rigidity, altered mental status, and signs of autonomic dysregulation. Despite being a well-documented phenomenon, the underlying pathophysiological mechanisms of NMS remain poorly understood, and early detection remains a clinical challenge. This study introduces a c...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1113516


Jun 13, 2025Open    Access

AI-Driven Prediction of Drug Safety in Pregnancy: A Machine Learning Approach

Rocco de Filippis,Abdullah Al Foysal
Evaluating drug safety during pregnancy remains an ongoing clinical and pharmacological challenge due to ethical, practical, and regulatory barriers, resulting in scarce human clinical trial data. Consequently, healthcare providers must frequently rely on limited observational data and incomplete safety profiles when prescribing medications, especially psychiatric and neurological drugs, whose discontinuation could lead to significant maternal health risks. This research addresses these critical...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1113513


Jun 13, 2025Open    Access

Machine Learning for Identifying Overlap in Psychiatric and Neurological Drug Mechanisms

Rocco de Filippis,Abdullah Al Foysal
Psychiatric and neurological disorders often exhibit overlapping symptomatology and shared neurobiological mechanisms, yet pharmacological treatments are typically developed and administered in isolation. This research proposes a machine learning (ML) framework to identify potential “dual-use” drugs—compounds that may be therapeutically effective across both domains—by analysing drug-target interaction data. Drug-target profiles were curated from ChEMBL and Drug Bank, with each drug categorized ...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1113514


Jun 13, 2025Open    Access

The Psychological and Social Impact of the Diagnosis of Breast Cancer in Men: Experience of the Oncology Department of CHU Ibn Rochd

Zineb Kabala,Souad El Jay,Meryem Belhouari,Mouna Bourhafour,Tarik Chekrine,Zineb Bouchbika,Nadia Benchakroun,Hassan Jouhadi,Nezha Tawfiq,Souha Sahraoui
Male breast cancer (MBC) is a rare but impactful condition, constituting approximately 1% of all breast cancer cases. Due to its rarity, MBC often goes undiagnosed until later stages, and affected individuals face significant psychological and social challenges compounded by public misconceptions and a lack of tailored support. This study explores the emotional, psychological, and social impacts of MBC through a survey of 47 diagnosed male patients using validated assessment tools (HADS, IES-R, ...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1113578


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 03, 2025Open    Access

Research on the Sleep Quality of Real Estate Sales Personnel and Countermeasures

Qiong Zhang
After the reform and opening-up, China’s economy has continued to grow, the degree of population urbanization has been continuously improved, and people’s demand for housing has been increasing. During this period, the real estate industry in China experienced rapid development and changes. This industry has not only made an important contribution to the country’s economic growth, but also had a far-reaching impact on people’s quality of life. However, with the continuous expansion of the indust...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1113221


May 28, 2025Open    Access

The Relationship between Emotional Intelligence and Adolescent Attachment Style—Comparative Study

Alina State Pătraşcu
Individuals are always interacting and communicating with their environment, but there are many factors that affect the quality of this interaction and communication. These factors may be influenced not only by personal characteristics but also by external factors. People’s previous experiences, personal characteristics, interests, attitudes and expectations can influence their interpersonal relationships. Besides, another factor worth mentioning in the relationships between people is their emot...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1113489


Go

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133