2026
A Multiplexed Quantitative Analysis of Germline Single Amino Acid Variants by Targeted Proteomics in Nondepleted Human Plasma Journal of Proteome Research, Mar 26, 2026. Panshak P. Dakup, Tai-Tu Lin, Soumyadeep Sarkar, Athena M. Schepmoes, Thomas L. Fillmore et al.
Data Quality Assurance Tool for the Acute to Chronic Pain Signatures (A2CPS) Study: an Interactive R Shiny Application. MedRxiv preprint online, Jan 2026. Briha Ansari, Patrick Sadil, James Ford, Giovanni Berardi, Margaret Taub et al.
2025
Accelerating discovery in pain science: the Acute to Chronic Pain Signatures program. PAIN, 50th Anniversary Supplement, online October 15, 2025; print November 2025. Tor Wager, Stephani Sutherland, Martin Lindquist, Kathleen Sluka.
A Multilateral Qualitative Study of Perspectives on Enhancing Clinical Trial Diversity Among Historically Underrepresented Groups. Clinical Therapeutics, online July 8, 2025. Matthew DePuccio, Daniel Torrez, Elizabeth Hsu, Elizabeth Lynch, Rachel Bergmans et al.
2024
Imaging Processing in the Acute to Chronic Pain Signatures (A2CPS) Project. BioRxiv preprint online December 20, 2024. Patrick Sadil, Konstantinos Arfanakis, Enamul Hoque Bhuiyan, Brian Caffo, Vince D. Calhoun et al.
Statistical modeling of acute and chronic pain patient-reported outcomes obtained from ecological momentary assessment. PAIN, online May 7, 2024. Andrew Leroux, Ciprian Crainiceanu, Scott Zeger, Margaret Taub, Briha Ansari et al. Accompanying Commentary by Patrick Finan.
2023
Predicting chronic postsurgical pain: current evidence and a novel program to develop predictive biomarker signatures. PAIN, online June 15, 2023. Kathleen Sluka, Tor Wager, Stephani Sutherland, Patricia Labosky, Tessa Balach et al.
2022
Multi-Site Observational Study to Assess Biomarkers for Susceptibility or Resilience to Chronic Pain: The Acute to Chronic Pain Signatures (A2CPS) Study Protocol. Frontiers in Medicine, April 25, 2022. Giovanni Berardi, Laura Frey-Law, Kathleen Sluka, Emine Bayman, Christopher Coffey et al.
Optimization of Imputation Strategies for High-Resolution Gas Chromatography–Mass Spectrometry (HR GC–MS) Metabolomics Data. Metabolites, May 11, 2022. Isaac Ampong, Kip Zimmerman, Peter Nathanielsz, Laura Cox and Michael Olivier
