Objective: We sought to identify patients at risk of "futile" surgery for intrahepatic cholangiocarcinoma using an artificial intelligence (AI)-based model based on preoperative variables.
Methods: Intrahepatic cholangiocarcinoma patients who underwent resection between 1990 and 2020 were identified from a multi-institutional database. Futility was defined either as mortality or recurrence within 12 months of surgery.
Purpose: We sought to develop an artificial intelligence (AI)-based model to predict early recurrence (ER) after curative-intent resection of neuroendocrine liver metastases (NELMs).
Methods: Patients with NELM who underwent resection were identified from a multi-institutional database. ER was defined as recurrence within 12 months of surgery.
Background: Recent studies in mice and patients suggest that posttransplantation induction of autoimmune responses to tissue-specific antigens contributes to the rejection of major histocompatibility complex mismatched allotransplants. The relevance of this phenomenon to the rejection of major and minor histocompatibility-mismatched allografts performed in large-animal models remains to be established.
Methods: Miniature swine were immunized with cardiac myosin (CM) in Freund's adjuvant and received heterotopic, minor antigen-mismatched heart transplants.