6 citations · 22 across the 21 of their papers we have counts for
23 papers
Wafer-Level Prototyping Tools for CMOS Bioelectronic Sensors
Advait Madhavan, Ruohong Shi, Alokik Kanwal +5
Integrating biology with complementary metal-oxide-semiconductor (CMOS) sensors can enable highly parallel measurements with minimal parasitic effects, significantly enhancing sens…
Inequalities for Optimization of Classification Algorithms: A Perspective Motivated by Diagnostic Testing
Paul N. Patrone, Anthony J. Kearsley
Motivated by canonical problems in medical diagnostics, we propose and study properties of an objective function that uniformly bounds uncertainties in quantities of interest extra…
Probabilistic Consistency in Machine Learning and Its Connection to Uncertainty Quantification
Paul Patrone, Anthony Kearsley
Machine learning (ML) is often viewed as a powerful data analysis tool that is easy to learn because of its black-box nature. Yet this very nature also makes it difficult to quanti…
Per-event Uncertainty Quantification for Flow Cytometry using Calibration Beads
Prajakta Bedekar, Megan A. Catterton, Matthew DiSalvo +3
Flow cytometry measurements are widely used in diagnostics and medical decision making. Incomplete understanding of sources of measurement uncertainty can make it difficult to dist…
Uncertainty quantification in flow cytometry using a cell sorter
Amudhan Krishnaswamy-Usha, Gregory A. Cooksey, Paul Patrone
In cytometry, it is difficult to disentangle the contributions of population variance and instrument noise towards total measured variation. Fundamentally, this is due to the fact…
Uncertainty Quantification of Antibody Measurements: Physical Principles and Implications for Standardization
Paul N. Patrone, Lili Wang, Sheng Lin-Gibson +1
Harmonizing serology measurements is critical for identifying reference materials that permit standardization and comparison of results across different diagnostic platforms. Howev…