The nomogram accurately predicted OS in patients with pancreatic head cancer with suspected peripancreatic venous invasion after attempted curative pancreatic resectional surgery.
A combination of Convolutional Neural Network (CNN), Long-Short Term Memory (LSTM), and Convolutional LSTM (ConvLSTM) is constructed in this work for the fault diagnosis and post-accident prediction for Loss of Coolant Accidents (LOCAs) in Nuclear Power Plants (NPPs). The advantages of ConvLSTM, such as effective feature determination and extraction, are applied to the classification of LOCA cases. The prediction accuracy is enhanced via the collaborative work of CNN and LSTM. Such a hybrid model is proved to be functional, accurate, and adaptive, offering quick accident judgment and a reliable decision basis for the emergency response purpose. It then allows NPPs to have an Artificial Intelligence (AI)-based solution for fault diagnosis and post-accident prediction.
Ibrutinib is a drug that inhibits the protein Burton’s tyrosine kinase and thereby the nuclear translocation of Nrf2, which played a key role in mediating the activation of antioxidants during stress conditions and ferroptosis resistance. This study aimed to identify the effect of Ibrutinib and ferroptosis inducer on colorectal cancer (CRC) treatment and its underlying mechanism. In our study, we found the upregulation of Nrf2 was correlated with CRC progression and antioxidant proteins. Ibrutinib sensitized CRC to ferroptosis inducers, suggested by further reduced CRC cell viability, proliferation and decreased antioxidant protein levels in CRC cells after combination treatment of Ibrutinib and RSL3 or Ibrutinib and Erastin both in vivo and in vitro. Knockout of Nrf2 diminished the regulatory effect of Ibrutinib on CRC sensitivity to ferroptosis inducers. Altogether, this study demonstrated that Ibrutinib increases the sensitivity of CRC cell to ferroptosis inducers by inhibiting Nrf2.
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