Rupert Ironside-Smith,Beryl Noë,Stuart M Allen et al.
Rupert Ironside-Smith et al.
Vital signs observations are regular measurements used by healthcare staff to track a patient's overall health status on hospital wards. We look at the potential in re-purposing aggregated and anonymised hospital data sources surrounding vi...
Mobile heath applications for self-management in chronic lung disease: a systematic review [0.03%]
慢性肺病自我管理的移动医疗应用程序：系统评价研究
Shirley Quach,Wade Michaelchuk,Adam Benoit et al.
Shirley Quach et al.
Integration of mobile health (mHealth) applications (apps) into chronic lung disease management is becoming increasingly popular. MHealth apps may support adoption of self-management behaviors to assist people in symptoms control and qualit...
A subunit vaccine against pneumonia: targeting S treptococcus pneumoniae and Klebsiella pneumoniae [0.03%]
一种针对肺炎的结合疫苗：同时预防肺炎链球菌和肺炎克雷伯氏菌感染
Md Oliullah Rafi,Khattab Al-Khafaji,Santi M Mandal et al.
Md Oliullah Rafi et al.
Community-acquired pneumonia is primarily caused by Streptococcus pneumoniae and Klebsiella pneumoniae, two pathogens that have high morbidity and mortality rates. This is largely due to bacterial resistance development against current anti...
COVID-19 and pneumonia diagnosis from chest X-ray images using convolutional neural networks [0.03%]
基于卷积神经网络的胸部X光图像在新型冠状肺炎诊断中的应用研究
Muhab Hariri,Ercan Avşar
Muhab Hariri
X-ray is a useful imaging modality widely utilized for diagnosing COVID-19 virus that infected a high number of people all around the world. The manual examination of these X-ray images may cause problems especially when there is lack of me...
Development of artificial neural network models to predict the PAMPA effective permeability of new, orally administered drugs active against the coronavirus SARS-CoV-2 [0.03%]
开发人工神经网络模型以预测针对冠状病毒SARS-CoV-2的新口服药物的PAMPA有效渗透性
Chrysoula Gousiadou,Philip Doganis,Haralambos Sarimveis
Chrysoula Gousiadou
Responding to the pandemic caused by SARS-CoV-2, the scientific community intensified efforts to provide drugs effective against the virus. To strengthen these efforts, the "COVID Moonshot" project has been accepting public suggestions for ...
Kirti Jain,Vasudha Bhatnagar,Sharanjit Kaur
Kirti Jain
Network-based models are apt for understanding epidemic dynamics due to their inherent ability to model the heterogeneity of interactions in the contemporary world of intense human connectivity. We propose a framework to create a wire-frame...
Molecule generation toward target protein (SARS-CoV-2) using reinforcement learning-based graph neural network via knowledge graph [0.03%]
基于知识图谱的强化学习图形神经网络在目标蛋白质（SARS-CoV-2）中的分子生成技术研究
Amit Ranjan,Hritik Kumar,Deepshikha Kumari et al.
Amit Ranjan et al.
AI-driven approaches are widely used in drug discovery, where candidate molecules are generated and tested on a target protein for binding affinity prediction. However, generating new compounds with desirable molecular properties such as Qu...
An application of optimal control in medical systems: optimal investment strategy in doctors [0.03%]
最优控制在医疗系统中的一个应用：医生的最优投资策略
Mustafa Akan,Ebru Geçici
Mustafa Akan
Health care is ever more important with the aging population and with the increased awareness of the importance of the medical systems due to the corona crisis that showed the capacity of the health care infrastructure, especially in terms ...
Temporal networks in biology and medicine: a survey on models, algorithms, and tools [0.03%]
生物学和医学中的时间网络：对模型、算法和工具的回顾
Mohammad Mehdi Hosseinzadeh,Mario Cannataro,Pietro Hiram Guzzi et al.
Mohammad Mehdi Hosseinzadeh et al.
The use of static graphs for modelling and analysis of biological and biomedical data plays a key role in biomedical research. However, many real-world scenarios present dynamic behaviours resulting in both node and edges modification as we...
Optimal control of a two-group malaria transmission model with vaccination [0.03%]
具有疫苗接种的二群体疟疾传播模型的最佳控制问题研究
S Y Tchoumi,C W Chukwu,M L Diagne et al.
S Y Tchoumi et al.
Malaria is a vector-borne disease that poses major health challenges globally, with the highest burden in children less than 5 years old. Prevention and treatment have been the main interventions measures until the recent groundbreaking hig...