Immunotherapy has shifted the therapeutic landscape in thoracic cancers.However, assessment of biomarkers for patient selection and disease monitoring remain challenging, especially considering the lack of tissue sample availability for clinical and research purposes.In this scenario, liquid biopsy (LB), kk205 defined as the study and characterizat
While public debate over gun control in the United States has often hinged on individual public mass shooting incidents, legislative action should be informed by knowledge of the long-term evolution of these events.We present a new Bayesian model for 5318008 the annualized rate of public mass shootings in the United States based on a Gaussian proce
Machine learning (ML) has been utilized to predict climatic parameters, and many successes have been reported in the literature.In this paper, we scrutinize the effectiveness of five widely used ML algorithms in the monthly prediction of seasonal climatic parameters using monthly image data.Specifically, we quantify the predictive performance of th
This paper discusses many of the issues associated with formally publishing data in academia, focusing primarily on the structures that need to be put in place for peer review and formal citation of datasets.Data publication is becoming increasingly important to the scientific community, as it will provide a mechanism for those who create data to r