Abstract Manual annotation of medical image datasets is labor-intensive and prone to biases.Moreover, the rate at which image data accumulates significantly outpaces the speed of manual annotation, posing a challenge to the advancement of machine learning, particularly in the realm of supervised learning.Self-supervised learning is an emerging fiel
Sacituzumab govitecan in heavily pretreated, platinum-resistant high grade serous ovarian cancer
Background: Treatment of recurrent platinum-resistant high grade serous ovarian cancer (HGSOC) remains a challenge.Novel treatment options for recurrent disease are an unmet need.Case: A 69-year-old with recurrent, metastatic, platinum-resistant HGSOC overexpressing TROP2 experienced a significant response to the antibody-drug conjugate (ADC) sacit
Variations in Remotely-Sensed Phytoplankton Size Structure of a Cyclonic Eddy in the Southwest Indian Ocean
Phytoplankton size classes were derived from weekly-averaged MODIS Aqua chlorophyll a data over the southwest Indian Ocean in order to assess changes in surface phytoplankton community structure within read more a cyclonic eddy as it propagated across the Mozambique Basin in 2013.Satellite altimetry was used to identify and track the southwesterly
Systematic review of clinical prediction models for psychosis in individuals meeting At Risk Mental State criteria
ObjectivesThis study aims to review studies developing or validating a prediction model for transition to psychosis in individuals meeting At Risk Mental State (ARMS) criteria focussing on predictors that can be obtained as part of standard clinical practice.Prediction of transition is crucial to facilitating identification of patients who would be