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Jul 11, 2025Open Access
Emotional regulation is a key component of strong families. The ability to discern when and how to express emotions can assist individual family members in building and maintaining positive relationships. Family architecture and childhood attachments will be reflected in the flexibility and resilience of the adolescent, but especially of self-consciousness. Relationships initiated during childhood affect how adolescents see the availability of parents and form relationships with others. The succ...
Jun 23, 2025Open Access
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,...
Jun 13, 2025Open Access
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...
Jun 13, 2025Open Access
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...
Jun 13, 2025Open Access
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 ...
Jun 13, 2025Open Access
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, ...
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 03, 2025Open Access
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...
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