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From pixels to patient care: deep learning-enabled pathomics signature offers precise outcome predictions for immunotherapy in esophageal squamous cell cancer.
J Transl Med
February 2024
Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, 440 Jiyan Road, Jinan, 250117, Shandong, China.
Background: Immunotherapy has significantly improved survival of esophageal squamous cell cancer (ESCC) patients, however the clinical benefit was limited to only a small portion of patients. This study aimed to perform a deep learning signature based on H&E-stained pathological specimens to accurately predict the clinical benefit of PD-1 inhibitors in ESCC patients.
Methods: ESCC patients receiving PD-1 inhibitors from Shandong Cancer Hospital were included.
A multiplatform metabolomics approach for comprehensive analysis of GIST xenografts with various mutations.
Analyst
August 2023
Department of Biopharmaceutics and Pharmacodynamics, Medical University of Gdańsk, Hallera 107, 80-416 Gdańsk, Poland.
Metabolites in biological matrices belong to diverse chemical groups, ranging from non-polar long-chain fatty acids to small polar molecules. The goal of untargeted metabolomic analysis is to measure the highest number of metabolites in the sample. Nevertheless, from an analytical point of view, no single technique can measure such a broad spectrum of analytes.
View Article and Find Full Text PDFAnimal abundance estimation is increasingly based on drone or aerial survey photography. Manual postprocessing has been used extensively; however, volumes of such data are increasing, necessitating some level of automation, either for complete counting, or as a labour-saving tool. Any automated processing can be challenging when using such tools on species that nest in close formation such as penguins.
View Article and Find Full Text PDFRoutinization, within-occupation task changes and long-run employment dynamics.
Res Policy
January 2023
University of Milan, Department of Environmental Science and Policy, Italy.
The present study adds to the literature on routinization and employment by capturing within-occupation task changes over the period 1980-2010. The main contributions are the measurement of such changes and the combination of two data sources on occupational task content for the United States: the Dictionary of Occupational Titles (DOT) and the Occupational Information Network (O*NET). We show that within-occupation reorientation away from routine tasks: i) accounts for 1/3 of the decline in routine-task use; ii) accelerated in the 1990s, decelerated in the 2000s but with significant convergence across occupations; and iii) allowed workers to escape the employment and wage decline, conditional on the initial level of routine-task intensity.
View Article and Find Full Text PDFImproving the quality of bowel preparation by smartphone education platform prior to colonoscopy: a randomized trail.
Ann Med
December 2022
Department of Gastroenterology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Objective: Adequate bowel preparation is an essential factor in colonoscopy. Enhanced education on the procedure of bowel preparation is very necessary for patients before colonoscopy. We analysed the influence of a novel education platform on bowel preparation quality before colonoscopy.
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