The ReproSci project retrospectively analyzed the reproducibility of 1006 claims from 400 papers published between 1959 and 2011 in the field of Drosophila immunity. This project attempts to provide a ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

The mean, variance, and autocorrelation of glucose dynamics are independently associated with coronary plaque vulnerability.

Lixplore-cli is a Python CLI tool for researchers. Search papers, filter results, and manage your library from the terminal.

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Implement Logistic Regression in Python from Scratch ! In this video, we will implement Logistic Regression in Python from Scratch. We will not use any build in models, but we will understand the code ...

Background: Patients with persistent atrial fibrillation (PsAF) exhibit a high recurrence rate following catheter ablation, and there is a lack of individualized prediction tools based on clinical ...

1 Department of Radiation Oncology, Affiliated Hospital of Qingdao University, Qingdao, China 2 Department of Oncology, Jinan Third People's Hospital, Jinan, China Purpose: We investigated a ...

School of Computing and Engineering, University of West, London, UK. In recent years, inflation has been a worrying factor for every country, which has become particularly high due to various ...

Predicting performance for large-scale industrial systems—like Google’s Borg compute clusters—has traditionally required extensive domain-specific feature engineering and tabular data representations, ...