Machine learning model-based prediction of postpancreatectomy acute pancreatitis following pancreaticoduodenectomy: A retrospective cohort study.

Background: The International Study Group of Pancreatic Surgery has established the definition and grading system for postpancreatectomy acute pancreatitis (PPAP). There are no established machine learning models for predicting PPAP following pancreaticoduodenectomy (PD).

Aim: To explore the predictive model of PPAP, and test its predictive efficacy to guide the clinical work.

Predictive value of postoperative serum lipase level for postoperative pancreatic fistula after pancreaticoduodenectomy.

Background: The prediction of postoperative pancreatic fistula (POPF) is important. This study aimed to investigate the role of postoperative serum lipase level in predicting POPF.

Methods: Data from 234 consecutive patients who underwent pancreaticoduodenectomy (PD) were collected.

Osteoblast differentiation of amniotic fluid-derived stem cells irradiated with visible light.

The effect of visible light irradiation on the expression of pluripotent genes (Oct-4, Sox2, and Nanog) in amniotic fluid-derived stem cells (AFSCs) and on the osteogenic differentiation ability of AFSCs was investigated using light-emitting diodes (LEDs) at 0-2 mW/cm(2) in various wavelengths: [blue (470 nm), green (525 nm), yellow (600 nm), and red (630 nm)]. Pluripotent gene expression in AFSCs was up-regulated by visible light irradiation from a LED for more than 6 h. Green light irradiation of AFSCs up-regulated the expression of pluripotent genes more significantly than irradiation with other light.