The publicly-available library can be used to reveal a more accurate picture of what drugs are in a patient’s body than what is listed on their medical record. Co-first authors Nina Zhao, Ph.D., and ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...
Abstract: In machine learning, a question of great interest is understanding what examples are challenging for a model to classify. Identifying atypical examples ensures the safe de-ployment of models ...
Welcome to the inference code for the paper "Protein Sequence Modelling with Bayesian Flow Networks". With this code, you can sample from our trained models ProtBFN, for general proteins, and AbBFN, ...
Want to make your resume stand out with the right technical skills? This guide provides examples of a sample resume technical skills and tips to effectively showcase your technical abilities, helping ...
In today’s competitive job market, standing out is crucial—and how you submit your application can make all the difference. Submitting a well-crafted cover letter is essential to make a strong ...
Abstract: Electroencephalogram (EEG) analysis is a critical tool for diagnosing various neurological disorders. Intelligent EEG models facilitate the analysis and diagnosis of these conditions.
Sample variance, often denoted as ‘s^2,’ is a measure used to determine how spread out a data set is. It helps reveal the degree to which the individual data points differ from the mean value of the ...
Sample variance is a crucial statistical concept used to quantify the dispersion or variation within a data set. It helps in determining how much the individual data points differ from the sample mean ...
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