Real-Life Data on Wound Healing Speed and Duration to Wound Closure by Different Aetiology in a Primary Care Centre in the Netherlands.

Correct classification of wounds is of paramount importance for diagnostic and therapeutic pathways. The aim of this study was to provide insight in the incidence of different aetiology of wounds and the healing time in a primary care setting. All patients with a wound presented in Primary Care (PC) practice from January 2017 through 2020 were included.

Machine learning-informed and synthetic biology-enabled semi-continuous algal cultivation to unleash renewable fuel productivity.

Algal biofuel is regarded as one of the ultimate solutions for renewable energy, but its commercialization is hindered by growth limitations caused by mutual shading and high harvest costs. We overcome these challenges by advancing machine learning to inform the design of a semi-continuous algal cultivation (SAC) to sustain optimal cell growth and minimize mutual shading. An aggregation-based sedimentation (ABS) strategy is then designed to achieve low-cost biomass harvesting and economical SAC.