Landscape of metagenomics: fight against tuberculosis and other infectious disease in India [0.03%]
宏基因组学的风景：印度结核病及其他传染病的防治
Bineeta Kashyap,Haarish Jayaraj,Sanjay Rajpal et al.
Bineeta Kashyap et al.
Metagenomics is an evolving diagnostic tool worldwide for studying microorganisms which cannot be cultured in routine laboratory settings. From Sanger sequencing to Next Generation Sequencing like Illumina, and now Oxford Nanopore sequencin...
Artificial intelligence driven healthcare and stigma in tuberculosis: Through the lens of ethics [0.03%]
基于伦理视角的人工智能驱动的医疗和结核病污名化问题
Mohammad Nasir,Samreen Ahmed,Mohammad Shameem et al.
Mohammad Nasir et al.
The 26.07 lakh reported cases of Tuberculosis (TB) in 2024 render India's target of eradicating TB under the National Tuberculosis Elimination Programme a distant dream. Nonetheless, by leveraging Artificial Intelligence (AI), India can cha...
Cognitive impairment in tuberculous meningitis: Systematic review & meta-analysis [0.03%]
结核性脑膜炎认知功能损伤：系统评价和荟萃分析
J V Ashwin,Rajesh Verma,Mohit Kumar Shahi et al.
J V Ashwin et al.
Tuberculous Meningitis (TBM) is one of the severe forms of tuberculosis affecting the central nervous system, often leading to long-term cognitive impairment. Understanding these deficits is essential for improving treatment outcomes and gu...
Targeting Mycobacterium tuberculosis F420-dependent dehydrogenases for new anti-tubercular drug discovery [0.03%]
靶向分枝杆菌F420依赖型脱氢酶用于发现新的抗结核药物
Adewale V Aderemi,Matthew Snee
Adewale V Aderemi
The bacillus Mycobacterium tuberculosis (Mtb) is the aetiological agent of the devastating disease of man, called tuberculosis (TB). Till date, it has remained a major public health problem especially in the global South where significant m...
From seals to survival: "India's Cinderella stamp advocacy in the global tuberculosis eradication movement: A visual and historical examination" [0.03%]
从印章到生存：“印度的灰姑娘邮票在全球结核病根除运动中的倡导作用：视觉和历史考察”
Bhaskar Mitra,Ranjan Kr Das,V K Arora
Bhaskar Mitra
Tuberculosis (TB) remains one of humanity's oldest and deadliest infectious diseases, yet its history is not written solely in medical texts and epidemiological tables. An extraordinary parallel narrative exists in philately-through tubercu...
Predicting multi-drug resistant tuberculosis using machine learning on genomic and clinical data [0.03%]
基于基因组和临床数据的机器学习预测多重耐药结核病
Komal Saxena,S Shyni Carmel Mary,Prolay Ghosh et al.
Komal Saxena et al.
Background: Tuberculosis (TB) is still the largest cause of death in the world, especially in countries with low and medium incomes. Multi-Drug Resistant Tuberculosis (MDR-TB), which is resistant to isoniazid and rifampic...
Multi-modal AI approach for Early Tuberculosis Detection by combining symptom, imaging, and clinical data [0.03%]
结合症状、影像和临床数据的多模态AI方法实现早期结核病检测
Rahul Bhagwat Mapari,Asif Ibrahim Tamboli,Prachi Tamhan et al.
Rahul Bhagwat Mapari et al.
Background: Tuberculosis (TB) is still a major health problem around the world, especially in low- and middle-income countries, where it kills about 1.5 million people every year. Early and accurate identification is very...
NLP-driven analysis of electronic health records for early Identification of tuberculosis cases [0.03%]
基于NLP的电子健康档案分析在肺结核病例早期识别中的应用
Araddhana Arvind Deshmukh,Abhijit Chitre,Vina M Lomte et al.
Araddhana Arvind Deshmukh et al.
Tuberculosis (TB) is still one of the biggest health problems in the world. Each year, millions of people get it, and because diagnosis are often delayed, the disease spreads and kills more people. Radiographic examination and sputum smear ...
Advancing automated tuberculosis detection in chest radiographs through stable policy optimization with clipped objectives [0.03%]
具有裁剪目标的稳定策略优化在胸部X光片中推进自动化结核病检测
Anup Gade,Amol Bhoite,Bharati P Vasgi et al.
Anup Gade et al.
Automated tuberculosis detection from chest radiographs is a fundamentally hard problem that arises from the imbalanced nature of data and weight of clinical misclassifications. In this work, we propose a novel optimization method named cli...
Addressing diagnostic resource imbalance in pulmonary tuberculosis detection from chest radiographs through cost-aware learning [0.03%]
基于成本感知学习解决胸部X光片中肺结核检测的诊断资源不平衡问题
Dr Nidhi Ranjan,Dr Balasaheb Balkhande,Lata Tembhare et al.
Dr Nidhi Ranjan et al.
Automated early detection of pulmonary tuberculosis using chest radiographs is hampered by extreme class imbalance, resulting in poor performance across real-world settings where the clinical and operational cost of missed TB cases outstrip...