
Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
This article shows that the N-glycans of ACE2, a receptor of SARSCoV-2, and their sialic acid linkage types can be easily evaluated using MALDI-TOF analysis.






