Latest AI and machine learning research in infectious disease for healthcare professionals.
Internal representations are crucial for understanding deep neural networks, such as their properties and reasoning patterns, but remain difficult to interpret. While mapping from feature space to input space aids in interpreting the former, existing approaches often rely on crude approximations. We propose using a conditional diffusion model - a pretrained high-fidelity diffusion model conditio...
Cirrhosis represents the end stage of chronic liver disease, significantly reducing life expectancy as it progresses from a compensated to a decompensated state, leading to serious complications. Recent improvements in medical treatment have created a shift in cirrhosis management. Various causes, including hepatitis viruses, alcohol consumption, and fatty liver disease, contribute to cirrhosis an...
Sepsis is a life-threatening organ dysfunction due to a dysfunctional response to infection. Delays in diagnosis have substantial impact on survival. ...
The increasing incidence of dengue virus (DENV) infections poses significant public health challenges in Bangladesh, demanding advanced forecasting me...
INTRODUCTION: Immune checkpoint inhibitor-related interstitial pneumonia (CIP) poses a diagnostic challenge due to its radiographic similarity to othe...
Timely and personalized treatment decisions are essential across a wide range of healthcare settings where patient responses vary significantly and ...
An effective approach in the development of novel antivirals is to target the assembly of viral capsids by using capsid assembly modulators (CAMs). CA...
BACKGROUND: Sepsis-associated liver injury (SALI) is a severe complication of sepsis that contributes to increased mortality and morbidity. Early iden...
BACKGROUND: Major Adverse Kidney Events within 30Â days (MAKE30) is an important patient-centered outcome for assessing the impact of acute kidney inju...
Reward-driven proactive dialogue agents require precise estimation of user satisfaction as an intrinsic reward signal to determine optimal interacti...
The location of a robot is a key aspect in the field of mobile robotics. This problem is particularly complex when the initial pose of the robot is ...
Many real-world problems require reasoning across multiple scales, demanding models which operate not on single data points, but on entire distribut...
BACKGROUND: Vaccines are crucial for preventing infectious diseases; however, they may also be associated with adverse events (AEs). Conventional anal...
Reverse transcription-polymerase chain reaction (RT-PCR) is the reference standard for COVID-19 diagnosis, but the need for rapid, reproducible, and c...
BACKGROUND: Hepatitis B virus (HBV) can be transmitted from mother to child either through transplacental infection or via blood-to-blood contact duri...
The COVID-19 pandemic caused a major public health crisis, with severe impacts on global health and the economy. Machine learning (ML) has been crucia...
In recent years, the incidence of refractory Mycoplasma pneumoniae pneumonia (RMPP) has significantly risen, posing severe pulmonary and extrapulmonar...
Sepsis remains a leading cause of mortality in critical care settings, necessitating timely and accurate risk stratification. However, existing machin...
Advanced diagnostic instruments are crucial for the accurate detection and treatment of lung diseases, which affect millions of individuals globally...
The spread of infectious diseases is often influenced by human mobility across different geographical regions. Although numerous studies have invest...