Innovative applications of artificial intelligence during the COVID-19 pandemic

The COVID-19 pandemic has created unprecedented challenges worldwide.Artificial intelligence(AI)technolo-gies hold tremendous potential for tackling key aspects of pandemic management and response.In the present review,we discuss the tremendous possibilities of AI technology in addressing the global challenges posed by the COVID-19 pandemic.First,we outline the multiple impacts of the current pandemic on public health,the econ-omy,and society.Next,we focus on the innovative applications of advanced AI technologies in key areas such as COVID-19 prediction,detection,control,and drug discovery for treatment.Specifically,AI-based predictive analytics models can use clinical,epidemiological,and omics data to forecast disease spread and patient out-comes.Additionally,deep neural networks enable rapid diagnosis through medical imaging.Intelligent systems can support risk assessment,decision-making,and social sensing,thereby improving epidemic control and public health policies.Furthermore,high-throughput virtual screening enables AI to accelerate the identification of ther-apeutic drug candidates and opportunities for drug repurposing.Finally,we discuss future research directions for AI technology in combating COVID-19,emphasizing the importance of interdisciplinary collaboration.Though promising,barriers related to model generalization,data quality,infrastructure readiness,and ethical risks must be addressed to fully translate these innovations into real-world impacts.Multidisciplinary collaboration engag-ing diverse expertise and stakeholders is imperative for developing robust,responsible,and human-centered AI solutions against COVID-19 and future public health emergencies.

Electrochemical biosensors represent promising detection tools in medicalfield

In recent years,there has been a growing demand for rapid detection methods,leading to the proliferation of biosensors,particularly electrochemical biosensors,which have garnered substantial attention from researchers.The fusion of biosensors with advanced electrochemical sensing technology has given rise to a diverse array of electrochemical biosensors characterized by their rapid detection capabilities and heightened sensitivity.Consequently,an imperative exists to comprehensively recapitulate recent advances in electrochemical biosensors,especially within the realm of clinical medicine.This review aims to elucidate the applications of electrochemical biosensors and delineate future development prospects,facilitating a more profound comprehension and further progression of thisfield.Specifically,we will examine the utilization of electrochemical biosensors in clinical medicine,encompassing their roles in point-of-care testing,disease diagnosis,and therapeutic monitoring.Moreover,we will spotlight emerging trends and prospective innovations,such as the evolution of nanostructured sensors and portable devices.By providing a comprehensive overview of the advances and potential applications of electrochemical biosensors in clinical medicine,this review will significantly contribute to the advancement of thisfield and serve as a catalyst for further research into innovative detection tools.

Modern technologies and solutions to enhance surveillance and response systems for emerging zoonotic diseases

Background Zoonotic diseases originating in animals pose a significant threat to global public health.Recent outbreaks,such as coronavirus disease 2019(COVID-19),have caused widespread illness,death,and socioeconomic disruptions worldwide.To cope with these diseases effectively,it is crucial to strengthen surveillance capabilities and establish rapid response systems.Aim The aim of this review is to examine the modern technologies and solutions that have the potential to enhance zoonotic disease surveillance and outbreak responses and provide valuable insights into how cutting-edge innovations could be leveraged to prevent,detect,and control emerging zoonotic disease outbreaks.Herein,we discuss advanced tools including big data analytics,artificial intelligence,the Internet of Things,geographic information systems,remote sensing,molecular diagnostics,point-of-care testing,telemedicine,digital contact tracing,and early warning systems.Results These technologies enable real-time monitoring,the prediction of outbreak risks,early anomaly detection,rapid diagnosis,and targeted interventions during outbreaks.When integrated through collaborative partnerships,these strategies can significantly improve the speed and effectiveness of zoonotic disease control.However,several challenges persist,particularly in resource-limited settings,such as infrastructure limitations,costs,data integration and training requirements,and ethical implementation.Conclusion With strategic planning and coordinated efforts,modern technologies and solutions offer immense potential to bolster surveillance and outbreak responses,and serve as a critical resource against emerging zoonotic disease threats worldwide.