CDK4/6 INHIBITORS IN COMBINATION THERAPIES: BETTER IN COMPANY THAN ALONE: A MINI REVIEW


A deep learning model based on self-supervised learning for identifying subtypes of proliferative hepatocellular carcinoma from dynamic contrast-enhanced MRI

Abstract Objectives This study employs dynamic contrast-enhanced MRI (DCE-MRI) to noninvasively predict the proliferative subtype of hepatocellular carcinoma (HCC).This subtype is marked by high tumor proliferation and aggressive clinical behavior.We developed a deep learning prediction model that employs a dynamic radiomics workflow and self-super

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Benchmark Sea Trials on a 6-Meter Boat Powered by Kite

This paper presents sea trials on a 6-m boat specifically designed for kite propulsion.The kite control was automatic or manual, dynamic or static, depending on the point of sailing.The measurement system recorded boat motion and load generated by the kite.A particular attention was paid to wind measurement with several Wound Treatments fixed and m

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PIV Measurements of Non-cavitating and Cavitating Flow in Wake of Two-dimensional Wedge-shaped Submerged Body

The vortex flow behind a bluff body has been a subject of interest for a very long time because of its engineering applicability such as to vortex induced vibration.In the near wake of a bluff body, vortices are periodically shed in two shear layers, which originate in the trailing edges.The far wake is made up of the classical Karman vortices, whi

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Clustering Analysis of Unlabeled Data and Weak-Label Detection Analysis Method Integrating Soft Computing Technology

With the continuous improvement of digitization, the processing and analysis of massive data has become one of the hot issues.Soft computing technology, as an emerging machine intelligence technology, performs well in handling complex uncertainty problems and is an important component of artificial intelligence.This study takes soft computing techn

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