Latest AI and machine learning research in infectious disease for healthcare professionals.
BACKGROUND: The global malaria burden is characterized by economic, geographical, and climatic disparities, especially in sub-Saharan Africa (SSA). Moreover, meteorological factors have become increasingly important to understand the malaria burden in SSA in the context of climate change.
In silico trials, utilizing mathematical models calibrated with clinical data, present a transformative approach to expedite drug development. We propose a virtual trial framework for chronic Hepatitis B, accurately simulating clinical protocols, patient characteristics, and endpoints using a mechanistic mathematical model. Clinical trial simulations with this model successfully captured functiona...
Pulmonary hypertension is a progressive condition characterized by increased pulmonary vascular pressure and resistance, ultimately leading to right h...
Emerging and re-emerging infectious diseases (EIDs and Re-EIDs) cause significant economic crises and public health problems worldwide. Epidemics app...
Patients with post-COVID-19-related symptoms require active and timely support in self-management. Just-in-time adaptive interventions (JITAI) seem pr...
HIV-1 protease inhibitors are crucial for antiviral therapies targeting acquired immunodeficiency syndrome (AIDS). Hundreds of HIV-1 protease complexe...
Detecting virus-infected cells in light microscopy requires a reporter signal commonly achieved by immunohistochemistry or genetic engineering. While ...
OBJECTIVES: Machine learning (ML) models, using laboratory data, support early sepsis prediction. However, analytical bias in laboratory measurements ...
Biological nitrogen fixation, catalyzed by nitrogenase, can convert atmospheric N₂ into NH₃ for plant growth. Legumes form symbioses with nitrogen-fix...
Accurate predictions of T cell receptor (TCR) specificity remain an important open problem in immunology, with broad implications for vaccine design, ...
Parasitic diseases represent a substantial public health challenge worldwide. Traditional educational strategies have often fallen short in driving su...
BACKGROUND: Infectious diseases, particularly COVID-19, continue to be a significant global health issue. Although many countries have reduced or stop...
BACKGROUND: Candida endophthalmitis (CE) and chorioretinitis are uncommon but potentially devastating complications of candidemia, associated with sig...
BACKGROUND: Pulmonary tuberculosis (PTB) remains a global public health challenge, with 10.8 million new cases reported in 2023. Early diagnosis is cr...
Accurate nucleic acid quantification analysis (NQA) is crucial for disease treatment and prevention. However, existing digital NQA methods often lack ...
The Asia-Pacific region faces serious liver health challenges, primarily because of the comparatively high prevalence of hepatitis B virus (HBV) and h...
The increasing incidence of antimicrobial resistance is becoming a serious concern worldwide and requires newer drugs. Recent evidence has shown growi...
The increasing adoption of machine learning (ML) in fiber-reinforced polymer (FRP) composite design has led to a reliance on black-box models, which a...