Latest AI and machine learning research in public health for healthcare professionals.
Antimicrobial resistance (AMR) poses a significant public health challenge, particularly in resource...
Cardiac allograft rejection (CAR) remains the leading cause of early graft failure after heart trans...
Identifying conserved, immunogenic proteins that confer protection against Streptococcus pneumoniae ...
Information from electronic health records (EHRs) may be incorporated into computable phenotype algo...
Postoperative atrial fibrillation (POAF) affects 20 to 50% of patients undergoing cardiac surgery an...
Antibodies against the SARS-CoV-2 spike receptor-binding domain provided effective COVID-19 treatmen...
Sensitivity analysis is a key tool for identifying which model inputs most strongly influence model ...
To evaluate whether machine learning (ML) applied to comprehensive claims data without diagnostic co...
Mucosal vaccines may reduce both infection and transmission by engaging local immunity, yet the immu...
Dengue fever is a mosquito-borne viral disease with strong seasonality, periodicity, and spatial het...
Clinicopathologic calculators for bladder cancer moderately predict survival and fail to depict the ...
Respiratory disease outbreaks burden U.S. healthcare systems with over one million hospitalizations ...
Falls among elderly residents in assisted living facilities (ALFs) are prevalent, costly, and freque...
Skin neglected tropical diseases (NTDs) such as cutaneous leishmaniasis, lymphatic filariasis, mycet...
Large language models (LLMs) have demonstrated remarkable capabilities in various natural language p...
Accurate, affordable tuberculosis (TB) diagnostics that do not require sputum samples are urgently n...
Simulation models inform health policy decisions by integrating data from multiple sources and forec...
The 2022 global outbreak of clade IIb mpox represented a turning point in public health’s handling o...
Should original research routinely contain prominent policy claims, such as recommendations for poli...
The concept of fairness has been extensively examined within the domains of Machine Learning and Art...
The Charlson Comorbidity Index (CCI) is widely used in epidemiologic studies. However, many versions...