The description of a so-called cytokine storm in patients with COVID-19 has prompted
consideration of anti-cytokine therapies, particularly interleukin-6 antagonists. However …

The popularity of machine learning (ML), deep learning (DL) and artificial intelligence (AI)
has risen sharply in recent years. Despite this spike in popularity, the inner workings of ML …

Prediction models aim to use available data to predict a health state or outcome that has not
yet been observed. Prediction is primarily relevant to clinical practice, but is also used in …

Background Mitochondrial DNA (MT-DNA) are intrinsically inflammatory nucleic acids
released by damaged solid organs. Whether circulating cell-free MT-DNA quantitation could …

Background Phase 3 trials found mRNA-1273 was highly effective in preventing COVID-19.
We conducted a prospective cohort study at Kaiser Permanente Southern California (KPSC) …

Causal machine learning (CML) has experienced increasing popularity in healthcare.
Beyond the inherent capabilities of adding domain knowledge into learning systems, CML …

Background Minimally invasive surgery in cervical cancer has demonstrated in recent
publications worse outcomes than open surgery. The primary objective of the SUCCOR …

Purpose To assess the independent association between ICU-acquired neuromuscular
complications and 5-year mortality and morbidity. To explore the optimal threshold of the …

Introduction Stated preference studies are a valuable tool to elicit respondents' willingness
to pay (WTP) for goods or services, especially in situations where no market valuation exists …

Background Infection is a key component of bronchiectasis pathophysiology.
Characterisation of the microbiome offers a higher degree of sensitivity and resolution than …