Navigating ethical problems of commercialization: towards inclusive organoid research [0.03%]
导航商业化伦理问题：迈向包容性类器官研究
Manon van Daal,Karin R Jongsma
Manon van Daal
Organoids are three-dimensional, self-organizing cell structures grown from human biospecimens that allow researchers to study development, disease, and drug responses. Organoid technology holds promise for precision medicine, as it can tai...
Val66Met polymorphism in the BDNF gene and antidepressant response in depression: an updated meta-analysis [0.03%]
抑郁症中BDNF基因Val66Met多态性与抗抑郁药疗效的meta分析更新研究
Raphael Enrique Tiongco,Roselle Arbas,Ana Caguiat et al.
Raphael Enrique Tiongco et al.
Introduction: The Val66Met polymorphism in the brain-derived neurotrophic factor (BDNF) gene has been linked to antidepressant treatment response in patients with major depressive disorder (MDD), yet findings remain incon...
Awareness, and interest in personalized medicine: a cross-sectional survey study of health professionals [0.03%]
一项健康专业人员的横断面调查研究：对个性化医疗的认识和兴趣
Ali Mostafaei,Aysan Rahmani,Kavous Shahsavarinia et al.
Ali Mostafaei et al.
Background: Personalized medicine (PM) is advancing disease prevention and treatment, but regulatory and clinical concerns persist, requiring evaluation of healthcare professionals' (HPs) knowledge and attitudes. ...
A rare likely pathogenic HLA-DRB1 variant with compromised immunity in severe COVID-19 patient and in-hospital mortality [0.03%]
一个罕见的致病性HLA-DRB1变异体与重症COVID-19患者的免疫功能受损和住院死亡率有关
Rashid Mir,Badr A Alsayed,Mohammad Fahad Ullah
Rashid Mir
The severity of COVID-19 disease can vary greatly, influenced by genetic factors and comorbid conditions that may increase mortality. This study has examined potential genetic influences on the disease for a young adult aged 36 years with T...
A scoping review of the cost-effectiveness of precision treatment in chronic lymphocytic leukemia [0.03%]
慢性淋巴细胞白血病精准治疗的成本效益的综述性研究
Jesman Punian,Morgan Ehman,Deirdre Weymann et al.
Jesman Punian et al.
Chronic lymphocytic leukemia (CLL) is a common, incurable leukemia. Precision treatment for CLL uses genetic testing to align therapeutic selection with patient characteristics. Insurers are uneven in their reimbursement of precision CLL tr...
Optimizing breast cancer therapy: chemoressitance and machine learning for precision prediction [0.03%]
优化乳腺癌治疗：利用化疗和机器学习实现精准预测
Martina Lichtenfels,Matheus G S Dalmolin,Julia Caroline Marcolin et al.
Martina Lichtenfels et al.
Background: Validate a novel in vitro resistance platform for breast cancer (BC) by assessing resistance profiles of treatment-naïve and residual tumors after neoadjuvant chemotherapy (NACT) and applying a machine learni...
Evaluation of pharmacogenomic information in drug labeling: a case study from Jordan [0.03%]
一项药物标签中的药理基因组学信息评估案例研究：以约旦为例
Yazun Jarrar,Nancy Hakooz,Mays Abu Ajamieh et al.
Yazun Jarrar et al.
Background: Pharmacogenomics (PGx) examines how genetic variations influence individual responses to medications, enabling more precise drug and dose selection. Drug labeling communicates PGx information to healthcare pro...
Gastric cancer risk and BRCA1/2 mutations: a systematic review and meta-analysis [0.03%]
BRCA1/2基因突变与胃癌风险的系统评价和meta分析
Francisco Cezar Aquino de Moraes,Gustavo Tadeu Freitas Uchôa Matheus,Maria Eduarda Cavalcanti Souza et al.
Francisco Cezar Aquino de Moraes et al.
Background: Gastric cancer is an aggressive and heterogeneous disease, primarily sporadic, with only 1-3% of cases being hereditary. However, gastric cancer is a component of several hereditary cancer syndromes. The BRCA1...
Effect of miRNA gene polymorphisms on prostate cancer susceptibility: a case-control study and an updated meta-analysis [0.03%]
微小核糖核酸基因多态性与前列腺癌易感性的关联：一项病例对照研究和系统综述及meta分析
Sourabh Sharma,Rahul Gupta,Jyotdeep Kour Raina et al.
Sourabh Sharma et al.
Background: Prostate cancer (CaP) is the most commonly diagnosed malignant tumor and the leading cause of cancer-related deaths among men. Due to their potential functional significance, microRNA genes are considered prom...
Enhancing Parkinson's disease prediction using meta-heuristic optimized machine learning models [0.03%]
基于元启发式优化机器学习模型的帕金森病预测增强方法
Afeez A Soladoye,David B Olawade,Adebimpe O Esan et al.
Afeez A Soladoye et al.
Parkinson's disease is a progressive neurological disorder affecting movement and cognition. Early detection is crucial but challenging with traditional methods. This study applies meta-heuristic optimization to enhance machine learning pre...