Search Results - bhavikkumar+vyas

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ATR_FTIR spectroscopy of saliva and machine learning as a screening test for the Sjögren disease
This technology uses saliva analysis with infrared spectroscopy and machine learning to provide a fast, non-invasive, and accurate test for Sjögren’s Disease, filtering out unreliable data to improve diagnosis and potentially screen for other diseases. Background: Sjögren’s disease is a chronic autoimmune disorder that primarily...
Published: 5/4/2026   |   Updated: 5/4/2026   |   Inventor(s): Igor Lednev, Bhavikkumar Vyas, Jürgen Popp, Oleg Ryabchykov
Keywords(s): diagnostics, Salivary biomarkers, Sjogren Disease, spectroscopy, Technologies
Category(s): Campus > University at Albany, Technology Classifications > Diagnostics