Latest AI and machine learning research in public health & policy for healthcare professionals.
Phylodynamics bridges the gap between epidemiology and pathogen genetic data by estimating epidemiological parameters from time-scaled pathogen phylogenies. Multi-type birth-death (MTBD) models are phylodynamic analogies of compartmental models in classical epidemiology. They serve to infer the average number of secondary infections R and the infection duration d. Moreover, more complex MTBD model...
Background. Dengue has been a major health threat globally in recent years. In particular, dengue incidences continue to increase annually and the epidemic area has expanded primarily due to global warming. Therefore, effective case detection and surveillance strategies are crucial to tackle this global health challenge. In clinical practice, the rapid test kit detecting dengue non-structural prot...
Sound Event Detection (SED) plays a vital role in audio understanding, with applications in surveillance, smart cities, healthcare, and multimedia ind...
Abstract Background: Healthcare providers in low- and middle- income countries (LMICs) are increasingly relying on Artificial Intelligence (AI) tools,...
Transformer models enable functionally meaningful representation of complex biological data, such as nucleotide or protein sequences. Existing foundat...
Background: Identification of metastasis status in non-small cell lung cancer (NSCLC) is a critical part of understanding disease prognosis, treatment...
Multidrug-resistant and extensively drug-resistant Mycobacterium tuberculosis (MTB) represents a growing global health crisis, characterized by limite...
Background: The rapid expansion of medical literature has led to substantial variability and frequent contradictions in study findings, making it incr...
Poxviruses constitute a threat to human health. Since 2022, two public health emergencies of international concern due to global spread of mpox viruse...
Forecasting infectious disease incidence can provide important information to guide public health planning, yet is difficult because epidemic dynamics...
Background Although Kenya's HIV programme has long prioritized high-burden counties for intensified paediatric interventions, a critical evidence gap ...
Cardiotoxicity remains a major cause of drug attrition and post-market withdrawal, yet the vast majority of environmental chemicals to which humans ma...
Background Outcome after stroke varies according to stroke subtype by location, but healthcare systems data studies do not include subtyping informati...
Low-Resolution License Plate Recognition (LRLPR) remains a challenging problem in real-world surveillance scenarios, where long capture distances, com...
Background: Chronic conditions such as hypertension can significantly disrupt daily life and emotional wellbeing. The interaction between patients' pe...
Background Depressive symptoms among reproductive-aged women represent a major public health concern in low- and middle-income countries, yet systemat...
Geographic context is often consider relevant to motor insurance risk, yet public actuarial datasets provide limited location identifiers, constrainin...
There is no consensus in the field of synthetic data on concise metrics for quality evaluations or benchmarks on large health datasets, such as histor...
Atmospheric haze significantly degrades wildlife imagery, impeding computer vision applications critical for conservation, such as animal detection, t...
This study evaluates the feasibility of implementing artificial intelligence (AI)-driven disease surveillance systems at Julius Nyerere International ...