Advances in artificial intelligence for infectious-disease surveillance
Advances in Artificial Intelligence for Infectious-Disease Surveillance | New England Journal of
Medicine Skip to main content The New England Journal of Medicine homepage Advanced …
Medicine Skip to main content The New England Journal of Medicine homepage Advanced …
Multifunctional antimicrobial materials: From rational design to biomedical applications
S Duan, R Wu, YH **ong, HM Ren, C Lei… - Progress in Materials …, 2022 - Elsevier
Though the history of mankind, we are strongly fighting with infected diseases that are
induced by bacteria, fungi, viruses, and other pathogens. Although a variety of medicines …
induced by bacteria, fungi, viruses, and other pathogens. Although a variety of medicines …
[HTML][HTML] Artificial intelligence, machine learning and deep learning: Potential resources for the infection clinician
AA Theodosiou, RC Read - Journal of Infection, 2023 - Elsevier
Background Artificial intelligence (AI), machine learning and deep learning (including
generative AI) are increasingly being investigated in the context of research and …
generative AI) are increasingly being investigated in the context of research and …
Advancing pharmacy and healthcare with virtual digital technologies
Digitalisation of the healthcare sector promises to revolutionise patient healthcare globally.
From the different technologies, virtual tools including artificial intelligence, blockchain …
From the different technologies, virtual tools including artificial intelligence, blockchain …
Chemical basis of combination therapy to combat antibiotic resistance
The antimicrobial resistance crisis is a global health issue requiring discovery and
development of novel therapeutics. However, conventional screening of natural products or …
development of novel therapeutics. However, conventional screening of natural products or …
Artificial intelligence as a smart approach to develop antimicrobial drug molecules: A paradigm to combat drug-resistant infections
A Talat, AU Khan - Drug Discovery Today, 2023 - Elsevier
Highlights•Artificial intelligence can combat AMR by discovering antibiotic alternatives.•AI is
fast, cost-efficient, minimum labour dependant strategy.•The chances of failure in AI based …
fast, cost-efficient, minimum labour dependant strategy.•The chances of failure in AI based …
Artificial intelligence-assisted smartphone-based sensing for bioanalytical applications: A review
Y Yang, F Xu, J Chen, C Tao, Y Li, Q Chen… - Biosensors and …, 2023 - Elsevier
Artificial intelligence (AI) has received great attention since the concept was proposed, and it
has developed rapidly in recent years with applications in many fields. Meanwhile, newer …
has developed rapidly in recent years with applications in many fields. Meanwhile, newer …
Lab-on-a-disc for point-of-care infection diagnostics
Conspectus Reliable, inexpensive, and rapid diagnostic tools are essential to control and
prevent the spread of infectious diseases. Many commercial kits for coronavirus disease …
prevent the spread of infectious diseases. Many commercial kits for coronavirus disease …
Healthcare as a driver, reservoir and amplifier of antimicrobial resistance: opportunities for interventions
Antimicrobial resistance (AMR) is a global health challenge that threatens humans, animals
and the environment. Evidence is emerging for a role of healthcare infrastructure …
and the environment. Evidence is emerging for a role of healthcare infrastructure …
Peracetic acid disinfection induces antibiotic-resistant E. coli into VBNC state but ineffectively eliminates the transmission potential of ARGs
The occurrence of a viable but nonculturable (VBNC) state in antibiotic-resistant E. coli (AR
E. coli) and inefficient degradation of their antibiotic resistance genes (ARGs) may cause …
E. coli) and inefficient degradation of their antibiotic resistance genes (ARGs) may cause …