Publications by authors named "Patrick Riley"

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Stimulation of Skin Pigmentation with UVR Is a Risk Factor for Cholelithiasis.
Stanislav Pavel, Patrick A Riley

JID Innov· November 2025

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Impact of Depression on Rehabilitation Outcomes in Pediatric Patients Undergoing ACL Reconstruction: A Retrospective Study.
Jared B Hinton, Ryan Sefcik, Michael Burdyny, Rupesh Raina, Patrick Riley

J Pediatr Orthop· July 2025

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Exploration of structure-activity relationships for the SARS-CoV-2 macrodomain from shape-based fragment linking and active learning.
Galen J Correy, Moira M Rachman, Takaya Togo, Stefan Gahbauer, Yagmur U Doruk, Patrick Riley

Sci Adv· May 2025

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A Target Class Ligandability Evaluation of WD40 Repeat-Containing Proteins.
Suzanne Ackloo, Fengling Li, Magda Szewczyk, Almagul Seitova, Peter Loppnau, Patrick Riley

J Med Chem· January 2025

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Using machine learning for chemical-free histological tissue staining.
Julie A Renner, Patrick C Riley

J Histotechnol· December 2024

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Ordinal Confidence Level Assignments for Regression Model Predictions.
Steven Kearnes, Patrick Riley

J Chem Inf Model· December 2024

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Extensive exploration of structure activity relationships for the SARS-CoV-2 macrodomain from shape-based fragment merging and active learning.
Galen J Correy, Moira Rachman, Takaya Togo, Stefan Gahbauer, Yagmur U Doruk, Patrick Riley

bioRxiv· August 2024

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Thompson Sampling─An Efficient Method for Searching Ultralarge Synthesis on Demand Databases.
Kathryn Klarich, Brian Goldman, Trevor Kramer, Patrick Riley, W Patrick Walters

J Chem Inf Model· February 2024

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Colorimetric Gas Detection Tubes: Limits of Detection and Evaluation Using Active Chemical Warfare Agents.
Brian C Hauck, Brian S Ince, Patrick C Riley

ACS Sens· August 2023

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Evolving symbolic density functionals.
He Ma, Arunachalam Narayanaswamy, Patrick Riley, Li Li

Sci Adv· September 2022

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Breast cancer patient characterisation and visualisation using deep learning and fisher information networks.
Sandra Ortega-Martorell, Patrick Riley, Ivan Olier, Renata G Raidou, Raul Casana-Eslava

Sci Rep· August 2022

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Non-ablative doses of focal ionizing radiation alters function of central neural circuits.
Hamed Zaer, Wei Fan, Dariusz Orlowski, Andreas N Glud, Morten B Jensen, Patrick Riley

Brain Stimul· June 2022

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Defining Levels of Automated Chemical Design.
Brian Goldman, Steven Kearnes, Trevor Kramer, Patrick Riley, W Patrick Walters

J Med Chem· May 2022

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CACHE (Critical Assessment of Computational Hit-finding Experiments): A public-private partnership benchmarking initiative to enable the development of computational methods for hit-finding.
Suzanne Ackloo, Rima Al-Awar, Rommie E Amaro, Cheryl H Arrowsmith, Hatylas Azevedo, Patrick Riley

Nat Rev Chem· April 2022

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Discovery of complex oxides via automated experiments and data science.
Lusann Yang, Joel A Haber, Zan Armstrong, Samuel J Yang, Kevin Kan, Patrick Riley

Proc Natl Acad Sci U S A· September 2021

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Deep diversification of an AAV capsid protein by machine learning.
Drew H Bryant, Ali Bashir, Sam Sinai, Nina K Jain, Pierce J Ogden, Patrick F Riley

Nat Biotechnol· June 2021

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Thirty years of therapeutic innovation in melanoma research.
Ferdy J Lejeune, Walter J Storkus, Patrick A Riley

Melanoma Res· April 2021

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Using simulation to accelerate autonomous experimentation: A case study using mechanics.
Aldair E Gongora, Kelsey L Snapp, Emily Whiting, Patrick Riley, Kristofer G Reyes

iScience· April 2021

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Kohn-Sham Equations as Regularizer: Building Prior Knowledge into Machine-Learned Physics.
Li Li, Stephan Hoyer, Ryan Pederson, Ruoxi Sun, Ekin D Cubuk, Patrick Riley

Phys Rev Lett· January 2021

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Machine Learning on DNA-Encoded Libraries: A New Paradigm for Hit Finding.
Kevin McCloskey, Eric A Sigel, Steven Kearnes, Ling Xue, Xia Tian, Patrick Riley

J Med Chem· August 2020

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Author Correction: Optimization of Molecules via Deep Reinforcement Learning.
Zhenpeng Zhou, Steven Kearnes, Li Li, Richard N Zare, Patrick Riley

Sci Rep· June 2020

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A Bayesian experimental autonomous researcher for mechanical design.
Aldair E Gongora, Bowen Xu, Wyatt Perry, Chika Okoye, Patrick Riley

Sci Adv· April 2020

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Embedding MRI information into MRSI data source extraction improves brain tumour delineation in animal models.
Sandra Ortega-Martorell, Ana Paula Candiota, Ryan Thomson, Patrick Riley, Margarida Julia-Sape

PLoS One· March 2020

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Three pitfalls to avoid in machine learning.
Patrick Riley

Nature· August 2019

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Optimization of Molecules via Deep Reinforcement Learning.
Zhenpeng Zhou, Steven Kearnes, Li Li, Richard N Zare, Patrick Riley

Sci Rep· July 2019

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