Machine learning for the prediction of post-ERCP pancreatitis risk: A proof-of-concept study.

Background: Predicting Post-Endoscopic Retrograde Cholangiopancreatography (ERCP) pancreatitis (PEP) risk can be determinant in reducing its incidence and managing patients appropriately, however studies conducted thus far have identified single-risk factors with standard statistical approaches and limited accuracy.

Aim: To build and evaluate performances of machine learning (ML) models to predict PEP probability and identify relevant features.

Methods: A proof-of-concept study was performed on ML application on an international, multicenter, prospective cohort of ERCP patients.

Impact of age and comorbidities on short- and long-term outcomes of patients undergoing surgery for colorectal cancer.

Background: As the world population is progressively ageing, more and more elderly patients will require cancer surgery. Although curative surgery is the treatment of choice for resectable colorectal cancer (CRC), it is still debated whether elderly frail patients should undergo major cancer surgery due to the increased risk of postoperative and long-term mortality. The aim of this retrospective study was to evaluate the impact of age and comorbidities on postoperative mortality/morbidity and long-term outcomes, looking for potential age-related survival differences.

Low frequency acoustic method to measure the complex density of porous materials.

In this paper, a new acoustic lumped element-based method to measure the complex density of porous materials at low frequency is provided. Based on the electroacoustic analogy of wave propagation inside a porous medium, an analytical derivation of the measurement method is given. Measurements can be performed in a short open tube and by placing the tested sample between an acoustic source (i.

Low frequency acoustic method to measure the complex bulk modulus of porous materials.

In this work, an acoustic lumped element technique has been developed to measure the dynamic bulk modulus of porous materials in the low frequency range ( f<500 Hz). Based on the electroacoustic analogy of wave propagation inside a porous medium, an analytical derivation of the measurement method is given. Unlike other techniques, it requires the use of only two microphones placed in the cavity containing the sample being tested and in the loudspeaker box.