Numerous machine learning (ML) approaches have been proposed for automatic
classification of Alzheimer's disease (AD) from brain imaging data. In particular, over 30 …

Radiomics, which involves the use of high-dimensional quantitative imaging features for
predictive purposes, is a powerful tool for developing and testing medical hypotheses …

In recent years, significant progress has been made in solving challenging problems across
various domains using deep reinforcement learning (RL). Reproducing existing work and …

Open access, open data, open source and other open scholarship practices are growing in
popularity and necessity. However, widespread adoption of these practices has not yet been …

There is growing interest in enhancing research transparency and reproducibility in
economics and other scientific fields. We survey existing work on these topics within …

More than 50 years ago, John Tukey called for a reformation of academic statistics. In “The
Future of Data Analysis,” he pointed to the existence of an as-yet unrecognized science …

Openness and sharing of information are fundamental to the progress of science and to the
effective functioning of the research enterprise. The advent of scientific journals in the 17th …

TP53 mutations are ubiquitous in high‐grade serous ovarian carcinomas (HGSOC), and the
presence of TP53 mutation discriminates between high and low‐grade serous carcinomas …

One of the pathways by which the scientific community confirms the validity of a new
scientific discovery is by repeating the research that produced it. When a scientific effort fails …

The reproducibility of experiments has been a long standing impediment for further scientific
progress. Computational methods have been instrumental in drug discovery efforts owing to …