Latest AI and machine learning research in public health & policy for healthcare professionals.
Influenza A virus (IAV) poses a significant threat to animal health globally, with its ability to ov...
Malassezia pachydermatis is a zoophilic yeast found on the skin and in the outer ear canal of many m...
Social media data and machine learning methods for automated content analysis are increasingly being...
Overfishing has severely depleted marine populations worldwide, including within protected areas. Il...
Targeted PCR diagnosis of RNA viruses is sequence dependent, meaning that the accuracy of the assay ...
Antimicrobial resistance (AMR) prediction from bacterial genomes remains a major challenge for clini...
The upper airway epithelium in humans is maintained in homeostasis by a resident population of basal...
Rising antimicrobial resistance (AMR) in Escherichia coli bloodstream infections (BSIs) in high-inco...
Avian influenza remains a serious risk to human health via zoonotic transmission, as well as a feasi...
Red blood cell (RBC) alloimmunization is a common complication from blood transfusion, often resulti...
Antibodies play a central role in neutralizing pathogens through direct interference with viral entr...
Seasonal influenza viruses undergo continuous antigenic drift due to mutations in the hemagglutinin ...
Epidemiological surveillance of Neisseria gonorrhoeae is hindered by the limitations of existing mol...
Plasmids are extrachromosomal mobile genetic elements whose copy numbers (PCNs) critically influence...
Relapse risk in endometrial carcinoma (EC) is strongly influenced by molecular subtype, yet current ...
Zoonotic viruses capable of jumping from animal reservoirs into human populations represent a persis...
Predicting individual health trajectories based on risk scores can help formulate effective preventi...
Mosquito-borne diseases cause millions of deaths each year and are increasingly spreading from tropi...
Rapid developments are occurring in artificial intelligence (AI) and machine learning (ML) applied t...
The advent of Large Language Models (LLMs) has transformed natural language processing and offers ne...
The rising global burden of cardiovascular diseases (CV) highlights the critical need for efficiency...