Purpose: While MEK inhibitors demonstrated activity in metastatic triple negative breast cancer (mTNBC) preclinical studies, preclinical, and clinical studies implicate rapid development of resistance limiting clinical benefit. The purpose of this study was to determine response rate for Trametinib alone and in combination with Uprosertib in patients with mTNBC previously treated with chemotherapy.
Methods: This was an open-label, two-part, phase II, single-arm, multicenter study.
In the field of histopathology, many studies on the classification of whole slide images (WSIs) using artificial intelligence (AI) technology have been reported. We have studied the disease progression assessment of glioma. Adult-type diffuse gliomas, a type of brain tumor, are classified into astrocytoma, oligodendroglioma, and glioblastoma.
View Article and Find Full Text PDFBackground: There has been an increase in the development of both machine learning (ML) and deep learning (DL) prediction models in Inflammatory Bowel Disease. We aim in this systematic review to assess the methodological quality and risk of bias of ML and DL IBD image-based prediction studies.
Methods: We searched three databases, PubMed, Scopus and Embase, to identify ML and DL diagnostic or prognostic predictive models using imaging data in IBD, to Dec 31, 2022.
Across the nation, patients with locally advanced gastric cancer (LAGC) are managed with modalities including upfront surgery (US) and perioperative chemotherapy (PCT). Preoperative therapies have demonstrated survival benefits over US and thus long-term outcomes are expected to vary between the options. However, as these 2 modalities continue to be regularly employed, we sought to perform a decision analysis comparing the costs and quality-of-life associated with the treatment of patients with LAGC to identify the most cost-effective option.
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