37 citations · 52 across the 7 of their papers we have counts for
5 papers · 1 filter
Predicting Collision Cross Sections with GRACE: Geometric Residual Adduct Conditioning via Early-fusion
Parthasarathy Suryanarayanan, Susanta Das, Shreyans Sethi +2
Collision cross section (CCS), derived from ion mobility mass spectrometry, is a common descriptor for molecular annotation. Prediction is challenging for machine learning models b…
STAR-VAE: A Scalable Latent-Variable Transformer for Controllable Molecular Generation
Bum Chul Kwon, Ben Shapira, Moshiko Raboh +7
Many molecular Transformers lack probabilistic latent variables for posterior inference and latent interpolation. We introduce STAR-VAE, a SELFIES-encoded, Transformer-based, AutoR…
Disease Progression Modeling Workbench 360
Parthasarathy Suryanarayanan, Prithwish Chakraborty, Piyush Madan +9
In this work we introduce Disease Progression Modeling workbench 360 (DPM360) opensource clinical informatics framework for collaborative research and delivery of healthcare AI. DP…
A Novel Methodology For Crowdsourcing AI Models in an Enterprise
Parthasarathy Suryanarayanan, Sundar Saranathan, Shilpa Mahatma +1
The evolution of AI is advancing rapidly, creating both challenges and opportunities for industry-community collaboration. In this work, we present a novel methodology aiming to fa…
A Canonical Architecture For Predictive Analytics on Longitudinal Patient Records
Parthasarathy Suryanarayanan, Bhavani Iyer, Prithwish Chakraborty +11
Many institutions within the healthcare ecosystem are making significant investments in AI technologies to optimize their business operations at lower cost with improved patient ou…