Latest AI and machine learning research in sepsis for healthcare professionals.
In reinforcement learning, an agent learns to map representations of the environment state to predic...
D1-type receptor (D1R)-mediated dopaminergic signaling within the nucleus accumbens shell (NAcSh) is...
Haemophagocytic lymphohistiocytosis (HLH) is a rare, life-threatening hyperinflammatory syndrome cha...
Decision-making circuits are modulated across life stages (e.g. juvenile, adolescent, or adult), as ...
Background: Large language models (LLMs) are increasingly used in telehealth, but their safety in an...
Sepsis management in the ICU requires sequential treatment decisions under rapidly evolving patient ...
Reconstructing precise clinical timelines is essential for modeling patient trajectories and forecas...
Disease screening is critical for early detection and timely intervention in clinical practice. Howe...
Translating transcriptomic data into therapeutic hypotheses remains fragmented and labor-intensive. ...
Predicting transitions between health, disease, and death across biological systems remains an impor...
Objectives This study aimed to develop and validate machine learning models to predict in-hospital m...
Excessive alcohol consumption remains a major public health challenge with limited therapeutic optio...
The HIV reservoir that establishes early upon infection and persists in tissues remains the primary ...
Introduction: Polypharmacy in older adults is associated with increased risks of adverse drug events...
Machine learning models that can utilize high-dimensional data to make predictions and derive biolog...
Adaptive behaviors depend on predicting outcomes from sensory evidence. Dopamine neurons in the vent...
Background: Timely, uncertainty-aware forecasting from irregular electronic health records (EHR) can...
Heterogeneity in sporadic Parkinson's Disease (PD) is a critical problem that drives variable rates ...
Identifying robust gene expression signatures from transcriptomic studies with small sample sizes re...
Real-time assessment of human pluripotent stem cell (hPSC) quality is critical for reproducibility a...
Sepsis is a leading cause of in-hospital mortality, yet systematically evaluating temporal adherence...