IPOscore: An interactive web-based platform for postoperative surgical complications analysis and prediction in the oncology domain.

Background: The performance of traditional risk score systems to predict (post)-operative outcomes is limited. This weakness reduces confidence in its use to support clinical risk mitigation decisions. However, the rapid growth of health data in the last years offers principles to deal with some of these limitations.

KiMoSys 2.0: an upgraded database for submitting, storing and accessing experimental data for kinetic modeling.

The KiMoSys (https://kimosys.org), launched in 2014, is a public repository of published experimental data, which contains concentration data of metabolites, protein abundances and flux data. It offers a web-based interface and upload facility to share data, making it accessible in structured formats, while also integrating associated kinetic models related to the data.