The expanding role of Artificial intelligence in medical diagnosis: from molecular diagnostics and multi-omics to digital health and medical imaging [0.03%]
人工智能在医学诊断中的作用日益扩大：从分子诊断和多组学至数字健康与医学影像
Aghdas Ramezani,Marzieh Bagheri,Fatemeh Mahmoudian et al.
Aghdas Ramezani et al.
Introduction: The use of Artificial Intelligence (AI), especially Machine learning (ML) and Deep learning (DL), has led to a major shift in medical diagnosis. AI can assist medical professionals in medical diagnosis by it...
Protein signatures for the early detection of endometrial cancer in cervico-vaginal fluid [0.03%]
用于宫颈阴道液中早期诊断子宫内膜癌的蛋白质标志物
Kelechi Njoku,Molly Dore,Jean-Ellen Johnson et al.
Kelechi Njoku et al.
Introduction: Endometrial cancer is the most common gynecological malignancy in high-income countries. Although postmenopausal bleeding is its cardinal presenting symptom, only 5-10% of women with postmenopausal bleeding ...
The association between normalized creatinine-to-cystatin C ratio and incident Circadian Syndrome in middle-aged and older adults: a national cohort study [0.03%]
基于全国人群的队列研究：年龄校正的血清肌酐与半胱氨酸C比值与中国中老年人昼夜节律综合征发生风险关联的研究
Zhengyi Xia,Minghui Li,Ling Li
Zhengyi Xia
Background: Evidence on the association between the normalized creatinine-to-cystatin C ratio (NCCR) and Circadian Syndrome (CircS) in the general population remains scarce. This study aimed to investigate this relationsh...
What's in a name: the potential impact of the updated terminology of polyendocrine metabolic ovarian syndrome (PMOS) [0.03%]
名称的背后：多内分泌代谢卵巢综合征(PMOS)更新术语的潜在影响
Fernando M Reis,Izabelle G A Vidigal,José Luis Elizarraras et al.
Fernando M Reis et al.
Introduction: Polycystic ovary syndrome (PCOS) was recently renamed polyendocrine metabolic ovarian syndrome (PMOS). Areas covered: We ...
Elisa De Paolis,Giuseppina Raspaglio,Marta De Donato et al.
Elisa De Paolis et al.
Introduction: Ovarian cancer (OC) is a highly heterogeneous and lethal gynecological malignancy. Precision oncology has shifted the management paradigm to comprehensive molecular profiling. Genomic-based diagnostics are n...
Falling short? Mitigating equity gaps and demographic bias in AI-driven molecular diagnostics [0.03%]
差距扩大？缓解人工智能驱动的分子诊断中的股权差距和人口统计学偏差
Nils D Forkert
Nils D Forkert
Carolina Gentili,Patrick M Meyer Sauteur,Danilo Buonsenso
Carolina Gentili
Introduction: Respiratory tract infections (RTIs) are among the most common causes of medical consultation in children. Although the majority of upper respiratory tract infections are viral and self-limiting, bacterial pa...
Artificial intelligence in molecular diagnostics for pandemic preparedness [0.03%]
人工智能在大流行病分子诊断中的应用
Ketul Sagar,Disha Mukherjee,Behrouz Alizadeh Savareh et al.
Ketul Sagar et al.
Introduction: Molecular diagnostics focusing on the detection and analysis of nucleic acids are indispensable tools for early pathogen identification, transmission monitoring, and genomic surveillance during pandemics. Re...
Navigating PD-L1 testing in immuno-oncology: analytical robustness, clinical validation, and the role of the VENTANA SP263 assay [0.03%]
肿瘤免疫治疗中PD-L1检测的分析稳健性、临床验证以及VENTANA SP263检测的作用
Giuseppe D&#x;Abbronzo,Stefano Lucà,Alessandro Cioce et al.
Giuseppe D&#x;Abbronzo et al.
Introduction: PD-L1 expression today represents a crucial biomarker in the selection of patients eligible for immune checkpoint inhibitor therapies (PD-1/PD-L1), particularly in tumors such as NSCLC, urothelial carcinoma,...
Extracellular vesicles as diagnostic and prognostic biomarkers in non-small cell lung Cancer [0.03%]
外泌体作为非小细胞肺癌诊断和预后生物标志物的研究
Shayista Akbar,Queenie Fernandes,Zeenath Safira Khaja Mohamed Yoosuf et al.
Shayista Akbar et al.
Introduction: Non-small cell lung cancer (NSCLC) remains the leading cause of cancer-related mortality worldwide, largely due to late-stage diagnosis and limited availability of reliable biomarkers. Extracellular vesicles...