Bruce Hoff

TL;DR: This diagnostic accuracy study evaluates whether artificial intelligence can overcome human mammography interpretation limits with a rigorous, unbiased evaluation of machine learning algorithms.

TL;DR: An open challenge to model breast cancer prognosis revealed that collaboration and transparency enhanced the power of prognostic models and formed the basis for a new style of publication peer review.

TL;DR: The Dialogue for Reverse Engineering Assessments and Methods (DREAM) 8 Whole-Cell Parameter Estimation Challenge was organized to develop new parameter estimation algorithms for whole-cell models and several valuable lessons were learned toward improving future challenges.

TL;DR: Results formally confirm the expectations of the rheumatology community that SNP information does not significantly improve predictive performance relative to standard clinical traits, thereby justifying a refocusing of future efforts on collection of other data.

TL;DR: A new method to integrate and analyze patient clusters across methods is proposed, showing a clear pattern of consistent and clinically relevant sub-groups of patients that also enabled the reliable classification of new patients.