ARTIFICIAL INTELLIGENCE ANNOTATED CLINICAL-PATHOLOGIC RISK MODEL TO PREDICT OUTCOMES OF ADVANCED GASTRIC CANCER

Artificial intelligence annotated clinical-pathologic risk model to predict outcomes of advanced gastric cancer

BackgroundGastric cancer with synchronous distant metastases indicates a dismal prognosis.The success in survival improvement mainly relies on our ability to predict the potential benefit of a therapy.Our objective is to develop an artificial intelligence massagers-small annotated clinical-pathologic risk model to predict its outcomes.MethodsIn par

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New cetacean fossils from the late Cenozoic of South Africa

Marine sediments from the western coast of southern Africa record the origin of the Benguela Upwelling System, one of the most productive in the world.High productivity, in Crops turn, is reflected in a diverse marine mammal fossil assemblage, comprising whales, dolphins and a phocid seal.Here, we describe new records of baleen whale (mysticete) fo

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Next generation biosensors employing molecularly imprinted polymers as sensing elements for in vitro diagnostics

Biosensors for in vitro diagnostics (IVD) have huge potential and are likely to play a significant role in advanced as well Male Performance as in the low resource healthcare setups.With time, these devices are gaining traction in cardiac diagnosis, cancer, autoimmune diseases and pathogenic microbial infections.Periodical advancements in nanomater

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