Calls for papers

This Collection welcomes submissions focusing on developments in MRD detection methodology including RNA, DNA and cellular diagnostics; epidemiological studies investigating MRD; and research focused towards the identification of novel MRD biomarkers.

We bring together a collection of papers that explore the basics of energy, sensing, and biomedical devices via leading-edge electrochemical approaches. In particular, this collection will feature innovative electrochemical strategies (e.g., electrode and waveform designs) in probing the charge carrier motion, the molecular electronic junctions, and the signal transduction pathways for sensing biological specimens.

This Collection aims to gather original research on quantum dots, covering not only their fabrication and characterisation, but also their exploitation in timely applications in the natural sciences.

This collection is dedicated to the latest developments in the field of AI alignment and welcomes unpublished research in computer science, machine learning, and engineering.

This Collection welcomes clinical, preclinical and epidemiological studies that contribute to the overall knowledge base around rare cancers of the head and neck including diagnosis, characterisation and treatment.

This Collection focuses on efforts to target all aspects of the tumor microenvironment, including drugs targeting infiltrating cell types.

This collection is dedicated to the latest research on the monitoring of coastal zones.

This Collection is dedicated to the role of receptor tyrosine kinases in disease, including understanding how these signaling pathways promote pathogenesis, identifying novel mutations, improving treatment methods, and examining downstream signaling pathways.

This Collection invites original research on plant genetic engineering as a tool towards a more sustainable agriculture, from the generation of new plant varieties, to more complex field trials.

This Collection brings together the latest results in the topic of neuromorphic engineering, spanning from the design of artificial neural systems to their experimental realisations.