Public Health

Prospects and Challenges of Personalized Immunotherapy in Breast Cancer Treatment and Long-term Cancer Management.

Breast cancer is highly heterogeneous,and different molecular subtypes exhibit significant variations in their response to immunotherapy.While significant progress has been achieved in the development of immune checkpoint inhibitors,chimeric antigen receptor T-cell therapies,and personalized cancer vaccines for breast cancer,the immunosuppressive nature of the breast cancer tumor microenvironment,...

Augmenting prion surveillance by immunohistochemistry using artificial intelligence-based image analysis.

Chronic wasting disease (CWD) and scrapie are transmissible spongiform encephalopathy diseases caused by prions, infectious forms of the prion protein. Currently, immunohistochemistry (IHC) is the sole approved diagnostic method for confirming these prion infections in formalin-fixed tissues. Evaluation of prion IHC requires specially trained veterinary pathologists to assess multiple quality cont...

Synonymous mutations in viral evolution and vaccine design.

Synonymous mutations, long regarded as evolutionarily neutral, are increasingly recognized as important determinants of viral evolution and adaptation...

A real-time early warning system to anticipate respiratory disease outbreaks using transfer learning.

Respiratory disease outbreaks burden American healthcare systems with over one million hospitalizations annually, yet current surveillance systems lag...

A novel lexicon dictionary and CNN-LSTM employed hybrid approach for sentiment detection of COVID-19 vaccines.

With the rapid advancement of the internet, social media has become an integral part of human life. It provides a soothing platform for people to shar...

Analysis, control, and forecasting the dynamics of SIRD models with saturated treatment and nonlinear incidence.

This study addresses the challenge of managing complex epidemic dynamics exhibited by a novel Susceptible-Infected-Recovered-Deceased (SIRD) model. Th...

From data to decision: a clinical pipeline for wearable AI in early cardiotoxicity detection.

Chemotherapy-induced cardiotoxicity (CIC) is a leading cause of morbidity in cancer survivors, as conventional surveillance often detects cardiac dysf...

Global whole-genome, phylodynamic, and machine-learning analysis of Glaesserella parasuis serovars 2, 5, and 12.

Glaesserella parasuis is a respiratory pathogen of swine and the causative agent of Glässer's disease. Among the 15 serotypes, serotypes 2, 5, and 12 ...

The role of whole genome sequencing in antimicrobial susceptibility prediction of bacteria: 2025 update from the EUCAST Subcommittee.

SCOPE: The 2017 European Committee on Antimicrobial Susceptibility Testing (EUCAST) subcommittee report on the role of Whole Genome Sequencing (WGS) i...

Unveiling the gap in heart failure: a Brazilian Unified Health System study.

BACKGROUND: Heart failure (HF) decompensation is the leading cause of hospitalisations in developed countries and the third most common cause in Brazi...

Evaluating Crowdsourced Data Collection for Carceral Death Surveillance: Pilot Study Using Amazon Mechanical Turk.

BACKGROUND: People who are incarcerated face significantly higher health risks than the general population, yet deaths in custody remain underreported...

Leveraging artificial intelligence to predict non-adherence to pediatric immunization schedules: a systematic review.

UNLABELLED: Immunization is one of the most effective interventions to prevent infectious diseases. Identifying individuals at risk of non-adherence t...

Operational mechanisms and application advances in artificial olfactory systems.

Artificial olfactory systems represent biomimetic platforms that emulate biological olfaction for volatile compound detection and discrimination. Biol...

Global Trends and Research Hotspots in Soccer Injury Literature: A Bibliometric Analysis (1904-2025).

IMPORTANCE: Soccer is associated with a substantial global injury burden, particularly involving lower-extremity and head injuries. Despite extensive ...

The dynamics of hepatitis B transmission with treatment and vaccination: A case study in the Ili Region of Xinjiang, China, by a physics-informed neural networks approach.

Hepatitis B virus (HBV) infection remains a leading cause of cirrhosis and hepatocellular carcinoma worldwide, and long-term control relies on sustain...

Cardiovascular Disease Events and Life Expectancy Lost Attributable to Machine Learning-Derived Dietary Networks: Evidence from Canadian National Nutrition Survey Linked to Routinely Collected Administrative Databases.

BACKGROUND: Artificial intelligence and machine learning (ML) are transforming nutritional epidemiology by revealing dietary network structures invisi...

A two-stage OOD-aware approach for mosquito species detection based on RT-DETRv2.

Mosquitoes are important vectors of infectious diseases, and accurate species identification is essential for effective surveillance and control. Trad...

Concepts of RNA virus evolution for the design of better antiviral countermeasures.

This century, global human health has been marked by a seemingly increasing list of outbreaks and epidemics caused by RNA viruses - masters of rapid e...

Temporal dynamics and associated factors of sleep quality in Chinese boarding high school students: a repeated cross-sectional study across four waves (2019-2024).

This study investigated temporal changes in sleep quality among Chinese boarding high school students across four phases (2019:pre-pandemic baseline, ...

Predictive triage for testing may improve control of a COVID-19 epidemic while reducing testing requirements.

BACKGROUND: Extensive population testing played a crucial role in mitigating the COVID-19 pandemic. However, scaling up testing capacity requires a co...