Latest AI and machine learning research in infectious disease for healthcare professionals.
The COVID-19 pandemic has burdened healthcare systems globally. To curb high hospital admission rate...
A major histologic feature of cirrhosis is the loss of liver architecture with collapse of tissue an...
Angio-based microvascular resistance (AMR) as a potential alternative to the index of microcirculato...
BACKGROUND: Bloodstream infection (BSI) is a systemic infection that predisposes individuals to seps...
INTRODUCTION: Our objective is to evaluate how useful an artificial intelligence (AI) tool is to che...
Indonesia is still the second-highest tuberculosis burden country in the world. The antituberculosis...
INTRODUCTION: Spinal tuberculosis (TB), or Pott's disease, remains a significant global health issue...
BACKGROUND: Coronavirus Disease 2019 (COVID-19), caused by the SARS-CoV-2 virus, emerged as a global...
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) continues to persist, demonstrating the...
Hand hygiene is critical for preventing infections, yet maintaining compliance remains challenging a...
BACKGROUND: Hematologic changes after splenectomy and hyperthermic intraperitoneal chemotherapy (HIP...
Cell fate decisions, such as proliferation, differentiation, and death, are driven by complex molecu...
Deep learning methods have significantly improved medical image analysis, particularly in detecting ...
For the last decade, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (M...
BACKGROUND: Sepsis-associated acute kidney injury (S-AKI) has a significant impact on patient surviv...
BACKGROUND: Methicillin-resistant (MRSA) bloodstream infections (BSIs) pose a significant challenge...
BACKGROUND: Twelve bacterial families identified as global priority pathogens (GPPs) pose the greate...
Mass production of biomedical microrobots demands expensive and complex preparation techniques and v...
Patients with Diabetic ketoacidosis (DKA) have increased critical illness and mortality during coron...
Predicting novel mutations has long-lasting impacts on life science research. Traditionally, this pr...
OBJECTIVES: To develop a machine learning-based prediction model using clinical data from the first ...