In silico identification of potential inhibitors of Mycobacterium tuberculosis DNA gyrase from Phytoconstituents of Indian medicinal plants [0.03%]
Janmejaya Rout,Sayani Das,Sandip Kaledhonkar
Janmejaya Rout
DNA gyrase, the sole type-II topoisomerase in Mycobacterium tuberculosis, plays a critical role in the bacteria's survival by catalyzing the DNA topology change and is considered a crucial drug target for tuberculosis treatment. The emergen...
MANGA-YOLO: A Mamba-inspired YOLO model with group attention for breast mass detection in mammograms [0.03%]
Kien Trang,Fung Fung Ting,Bao Quoc Vuong et al.
Kien Trang et al.
Breast cancer continues to be the primary cause of mortality from cancer in women globally, highlighting the urgent necessity for early and accurate identification. Although mammogram is the gold standard for screening, several challenges s...
GOARS: Generalized organ-at-risk segmentation utilizing hierarchical learning architecture and multi-dimensional feature aggregation [0.03%]
Xuezheng Sun,Tao Wan,Jiankun Xu et al.
Xuezheng Sun et al.
Accurate segmentation of organs-at-risk (OARs) is essential in radiotherapy to minimize damage to healthy tissues while targeting cancerous cells. Current manual delineation methods are time-consuming and subject to significant inter-observ...
The impact of visual contexts dynamics on anticipation: Neurocomputational evidence of expert advantage [0.03%]
基于神经计算证据的视觉情境变化对预期的影响：专家优势现象分析
Hao He,Lizhong Chi
Hao He
Sports anticipation represents a crucial perceptual-decision skill requiring rapid judgment of opponents' actions under temporal pressure. While previous research has established expert advantage in anticipatory performance, the underlying ...
Phytotherapeutic insights into Ageratum conyzoides for bovine mastitis: Antibacterial, anti-biofilm, and computational approaches [0.03%]
抗菌、抗生物被膜及计算方法揭示益母草属植物可治疗牛乳腺炎
Sonal Sindhu,Tarun Saini,Dev Kumar et al.
Sonal Sindhu et al.
Bovine mastitis adversely affects dairy production by lowering milk yield, increasing culling rates, and raising treatment costs, while antibiotic overuse exacerbates antimicrobial resistance. Ageratum conyzoides, a medicinal plant with ant...
Metabolomic and machine learning enhances patient diagnosis and stratification in systemic autoimmune diseases [0.03%]
代谢组学和机器学习在系统性自身免疫性疾病患者诊断和分层中的应用
Carlos Perez-Sanchez,Antonio Perez-Campoamor,Gema Dolores García-Delgado et al.
Carlos Perez-Sanchez et al.
Systemic Autoimmune Diseases (SADs) present clinical challenges due to their heterogeneity, which complicates patient classification, and delays diagnosis. We characterized their metabolomic fingerprints aiming to uncover novel molecular in...
AI-driven rapid identification of bacterial and fungal pathogens in blood smears of septic patients [0.03%]
基于人工智能的脓毒症患者血液涂片中细菌和真菌病原体的快速识别技术
Agnieszka Sroka-Oleksiak,Adam Pardyl,Dawid Rymarczyk et al.
Agnieszka Sroka-Oleksiak et al.
Background: Sepsis is a life-threatening condition which requires rapid diagnosis and treatment. Traditional microbiological methods are time-consuming and expensive. In response to these challenges, deep learning algorit...
Analysis of HIV/AIDS and HBV co-infection with drug-induced hepatotoxicity compartmental model with optimal control theory [0.03%]
基于最优控制理论的HIV/AIDS和HBV双重感染模型及其肝毒副作用分析
Mehmet Gümüş,Yohannes Fissha Abebaw,Shewafera Wondimagegnhu Teklu
Mehmet Gümüş
HIV/AIDS and Hepatitis B virus (HBV) co-infection poses a major public health threat, often complicated by drug-induced hepatotoxicity from antiretroviral therapy, a critical aspect overlooked in previous mathematical models. This study dev...
CL-GAN: A progressive curriculum learning approach for bone CT super-resolution [0.03%]
一种用于骨CT超分辨率的渐近式课程学习方法 CL-GAN
Yousif Al-Khoury,Camille P Figueiredo,Josephine Therkildsen et al.
Yousif Al-Khoury et al.
Cone-beam computed tomography (CBCT) provides rapid, low-dose imaging with large anatomical coverage but lacks the resolution required for detailed bone assessment in rheumatoid arthritis (RA). Enhancing CBCT to match high-resolution periph...
Explainable AI-driven prediction of influenza neuraminidase inhibitors using a stacked ensemble-learning framework [0.03%]
基于可解释人工智能的流感神经氨酸酶抑制剂预测的堆叠集成学习框架
Ittipat Meewan,Nalini Schaduangrat,Lawankorn Mookdarsanit et al.
Ittipat Meewan et al.
Influenza is a widespread respiratory infection that poses a persistent global health threat. While neuraminidase inhibitors (NAIs) are key antiviral agents, their effectiveness is increasingly challenged by emerging resistant strains and v...