Published work

Press

Publications & research

Some of our Head of Technology's peer-reviewed research and open-source work in machine learning, oncology, and high-dimensional data systems.

First page of the Journal for ImmunoTherapy of Cancer paper on the QVT score
Journal for ImmunoTherapy of Cancer

QVT score, a radiomic biomarker of vascular complexity, enables prognostication and monitoring of NSCLC immunotherapy

A biologically interpretable imaging biomarker that quantifies tumor vascular complexity from routine imaging, improving prognosis and treatment-response monitoring for non-small cell lung cancer patients on immune checkpoint inhibitors.
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GitHub repository page for the vector quantization benchmarking research
Human-Augment-Analytics, Georgia Tech

Vector Quantization Benchmarking

Open-source research benchmarking five vector compression methods (PQ, OPQ, SQ, SAQ, RaBitQ) across production-scale embedding datasets up to 53M vectors.
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First page of the American Journal of Surgery study on cancer treatment costs
The American Journal of Surgery

Financial burden amongst cancer patients treated with curative intent surgery alone

A study examining the substantial out-of-pocket cost burden faced by cancer patients undergoing curative-intent surgery without adjuvant treatment, and how rising care costs in the United States are reaching even patients on the most straightforward treatment paths.
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