Best Paper Award

Dear Colleagues,

We are pleased to announce the winners of the Bioengineering 2022 Best Paper Award. All papers published in 2022 in Bioengineering were considered for the award. After a thorough evaluation of the originality and significance of the papers, citations, and downloads, two winners were selected.

Two Articles:
Machine Learning and Deep Learning Algorithms for Skin Cancer Classification from Dermoscopic Images
By Authors: Solene Bechelli and Jerome Delhommelle
Bioengineering 2022, 9(3), 97; https://doi.org/10.3390/bioengineering9030097

Lab-Scale Cultivation of Cupriavidus necator on Explosive Gas Mixtures: Carbon Dioxide Fixation into Polyhydroxybutyrate
By Authors: Vera Lambauer and Regina Kratzer
Bioengineering 2022, 9(5), 204; https://doi.org/10.3390/bioengineering9050204

Each winner will receive CHF 500 and a chance to publish a paper in Bioengineering in 2024 after peer review.

Please join us in congratulating the winners of Bioengineering 2022 Best Paper Award. We would also like to take this opportunity to thank all of our authors for your continued support of Bioengineering.

Kind regards,
Bioengineering Editorial Office

 
Bioengineering 2022 Best Paper Award
 

Eligibility and Requirements

– All papers published in Bioengineering will be eligible (Both regular and Special Issue submissions).
 
Past Winners
 
Year: 

Winner

Chandan K. Sen
Indiana Center for Regenerative Medicine and Engineering, School of Medicine, Indiana University, Indianapolis, IN 46202, USA
Daria Podstawczyk
Department of Process Engineering and Technology of Polymer and Carbon Materials, Faculty of Chemistry, Wroclaw University of Science and Technology, Norwida 4/6, 50-373 Wroclaw, Poland

Winner

Martin E. van Royen
Department of Pathology, Erasmus Optical Imaging Centre, Erasmus MC, 3015 GE Rotterdam, The Netherlands
Esther Serrano-Pertierra
Department of Chemical and Enviromental Engineering, Faculty of Chemistry, University of Oviedo, 33006 Oviedo, Spain
Urszula Stachewicz
International Centre of Electron Microscopy for Materials Science, Faculty of Metals Engineering and Industrial Computer Science, AGH University of Science and Technology, 30-059 Krakow, Poland
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