Neural networks analyze two-dimensional IMS spectra to classify chemical compounds, reducing false alarms in field-deployable sensors.
Targeting RAGE V domain residues with specific antibodies inhibits cachexia-induced cardiac dysfunction by blocking ligand binding.
Matrix generator converts raw mass spectrometry data into structured matrices, enabling trained neural networks to classify complex ion intensity patterns.
Identifying common fragment ion peaks between unknown and known substances to deduce partial structures, enabling accurate analysis of unregistered compounds.
Computational regression analysis fits sensor responses to a model equation, isolating specific binding signals from bulk solvent variations.