A mathematical model of colorectal cancer initiation shows that a change in cells’ kinetic parameters due to aspirin can account for an observed reduction in advanced adenoma age- incidence in patients treated with aspirin.

Under sustained malaria control in PNG, the incidence of distinct blood-stage infections quantifies heterogeneity in transmission, significantly predicting risk of both P. falciparum and P. vivax malaria episodes at a population and individual scale.

Simultaneous voltage and calcium two-photon imaging of Purkinje neuron dendrites in awake mice reveals multiple interplaying mechanisms underlying sensory-evoked dendritic coincidence detection of parallel fiber and climbing fiber input.

The proposed Footprinting framework enables approximation of missing cervical cancer epidemiological data and derivation of context-specific impact projection of cervical cancer prevention measures, assisting public health decisions on cervical cancer prevention in India and other countries.

Older PhenoAge was consistently related to an increased risk of incident cancer with adjustment for chronological age and the aging process could be retarded by adherence to a healthy lifestyle.

Deforestation near villages is associated with short-term increases but long-term decreases in malaria incidence in Lao PDR, highlighting the influence of forest-going populations on malaria transmission in the region.

Younger age at diagnosis of breast cancer was associated with higher risks of incident myocardial infarction and heart failure.

A new statistical model for tracking current and potential rates of disease transmission.

Shifting from girls-only to gender-neutral HPV vaccination strategy improves the resilience of cervical cancer prevention and enhances progress towards cervical cancer elimination.

Integrating machine learning (ML) models with selected features improved the prediction accuracy of diabetic kidney disease compared to traditional logistic regression models using established features, revealing potential new markers and supporting the use of ML techniques in epidemiological studies.