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S

S. Joshua Swamidass

Saint Louis University

41H-index
166Paper Count
8.1KCitation Count
Published Papers 62
Publication Date
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Development of a deep learning algorithm for Paneth cell density quantification for inflammatory bowel disease
errEBIOMEDICINE
IF10.8
err2024-12-01
err0
PREAI
errKang, Liang-, I; Sarullo, Kathryn; Marsh, Jon N.; Lu, Liang; Khonde, Pooja; Ma, Changqing; Haritunians, Talin; Mujukian, Angela; Mengesha, Emebet; Mcgovern, Dermot P. B.; Stappenbeck, Thaddeus S.; Swamidass, S. Joshua; Liu, Ta-Chiang
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errSave
Understanding and mitigating the impact of race with adversarial autoencoders
errCOMMUNICATIONS MEDICINE
IF6.3
err2024-10-23
err0
errOAAI
errSarullo, Kathryn; Swamidass, S. Joshua
errShare
errSave
Role of Artificial Intelligence in Kidney Pathology: Promises and Pitfalls
errKIDNEY360
IF3
err2024-06-05
err1
errOAAI
errGoodman, Kyle; Sarullo, Kathryn; Swamidass, S. Joshua; Gaut, Joseph P.; Jain, Sanjay
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errSave
GAiN: An integrative tool utilizing generative adversarial neural networks for augmented gene expression analysis
errPATTERNS
IF7.4
err2024-02-01
err2
errOAAI
errWaters, Michael R.; Inkman, Matthew; Jayachandran, Kay; Kowalchuk, Roman M.; Robinson, Clifford; Schwarz, Julie K.; Swamidass, S. Joshua; Griffith, Obi L.; Szymanski, Jeffrey J.; Zhang, Jin
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errSave
Disentangling Socioeconomic Status and Race in Infant Brain, Birth Weight, and Gestational Age at Birth: A Neural Network Analysis
errBIOLOGICAL PSYCHIATRY: GLOBAL OPEN SCIENCE
IF3.7
err2024-01-01
err3
errOAAI
errSarullo, Kathryn; Barch, Deanna M.; Smyser, Christopher D.; Rogers, Cynthia; Warner, Barbara B.; Miller, J. Philip; England, Sarah K.; Luby, Joan; Swamidass, S. Joshua
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errSave
Message Passing Neural Networks Improve Prediction of Metabolite Authenticity
errJOURNAL OF CHEMICAL INFORMATION AND MODELING
IF5.3
err2023-03-16
err2
errOAAI
errFlynn, Noah R.; Swamidass, S. Joshua
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errSave
Bioactivation of Isoxazole-Containing Bromodomain and Extra-Terminal Domain (BET) Inhibitors
errMETABOLITES
IF3.7
err2021-06-15
err4
errOAAI
errFlynn, Noah R.; Ward, Michael D.; Schleiff, Mary A.; Laurin, Corentine M. C.; Farmer, Rohit; Conway, Stuart J.; Boysen, Gunnar; Swamidass, S. Joshua; Miller, Grover P.
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errSave
Impacts of diphenylamine NSAID halogenation on bioactivation risks
errTOXICOLOGY
IF4.6
err2021-06-01
err5
errOAAI
errSchleiff, Mary Alexandra; Payakachat, Sasin; Schleiff, Benjamin Mark; Swamidass, S. Joshua; Boysen, Gunnar; Miller, Grover Paul
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errSave
'Black Box' to 'Conversational' Machine Learning: Ondansetron Reduces Risk of Hospital-Acquired Venous Thromboembolism
errIEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
IF6.8
err2021-06-01
err24
PREAI
errDatta, Arghya; Matlock, Matthew K.; Dang, Na Le; Moulin, Thiago; Woeltje, Keith F.; Yanik, Elizabeth L.; Swamidass, Sanjay Joshua
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errSave
Deep learning the structural determinants of protein biochemical properties by comparing structural ensembles with DiffNets
errNATURE COMMUNICATIONS
IF15.7
err2021-05-21
err51
errOAAI
errWard, Michael D.; Zimmerman, Maxwell, I; Meller, Artur; Chung, Moses; Swamidass, S. J.; Bowman, Gregory R.
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errSave
Structural Variations among Marketed Diphenylamine NSAIDs Determine Preference and Efficiency for Four Possible Bioactivation Pathways
errFASEB JOURNAL
IF4.2
err2021-05-14
err0
errOAAI
errSchleiff, Mary; Payakachat, Sasin; Miller, Grover; Boysen, Gunnar; Swamidass, Joshua
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errSave
Novel Bioactivation of Isoxazole-containing Bromodomain and Extra Terminal Domain (BET) Inhibitors
errFASEB JOURNAL
IF4.2
err2021-05-14
err0
PREAI
errMiller, Grover; Schleiff, Mary; Flynn, Noah; Ward, Michael; Laurin, Coretine; Conway, Stuart; Swamidass, S.
errShare
errSave
Modeling the Bioactivation and Subsequent Reactivity of Drugs
errCHEMICAL RESEARCH IN TOXICOLOGY
IF3.8
err2021-01-26
err11
errOAAI
errHughes, Tyler B.; Flynn, Noah; Dang, Na Le; Swamidass, S. Joshua
errShare
errSave
Deep learning quantification of percent steatosis in donor liver biopsy frozen sections
errEBIOMEDICINE
IF10.8
err2020-10-01
err38
errOAAI
errSun, Lulu; Marsh, Jon N.; Matlock, Matthew K.; Chen, Ling; Gaut, Joseph P.; Brunt, Elizabeth M.; Swamidass, S. Joshua; Liu, Ta-Chiang
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errSave
Metabolic Forest: Predicting the Diverse Structures of Drug Metabolites
errJOURNAL OF CHEMICAL INFORMATION AND MODELING
IF5.3
err2020-09-03
err14
errOAAI
errHughes, Tyler B.; Le Dang, Na; Kumar, Ayush; Flynn, Noah R.; Swamidass, S. Joshua
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errSave
Dual mechanisms suppress meloxicam bioactivation relative to sudoxicam
errTOXICOLOGY
IF4.6
err2020-07-01
err19
errOAAI
errBarnette, Dustyn A.; Schleiff, Mary A.; Osborn, Laura R.; Flynn, Noah; Matlock, Matthew; Swamidass, S. Joshua; Miller, Grover P.
errShare
errSave
XenoNet: Inference and Likelihood of Intermediate Metabolite Formation
errJOURNAL OF CHEMICAL INFORMATION AND MODELING
IF5.3
err2020-06-11
err13
errOAAI
errFlynn, Noah R.; Le Dang, Na; Ward, Michael D.; Swamidass, S. Joshua
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errSave
The Metabolic Rainbow: Deep Learning Phase I Metabolism in Five Colors
errJOURNAL OF CHEMICAL INFORMATION AND MODELING
IF5.3
err2020-02-10
err33
errOAAI
errDang, Na Le; Matlock, Matthew K.; Hughes, Tyler B.; Swamidass, S. Joshua
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errSave
Comprehensive kinetic and modeling analyses revealed CYP2C9 and 3A4 determine terbinafine metabolic clearance and bioactivation
errBIOCHEMICAL PHARMACOLOGY
IF5.6
err2019-12-01
err13
errOAAI
errBarnette, Dustyn A.; Davis, Mary A.; Flynn, Noah; Pidugu, Anirudh S.; Swamidass, S. Joshua; Miller, Grover P.
errShare
errSave
A Time-Embedding Network Models the Ontogeny of 23 Hepatic Drug Metabolizing Enzymes
errCHEMICAL RESEARCH IN TOXICOLOGY
IF3.8
err2019-07-15
err11
errOAAI
errMatlock, Matthew K.; Tambe, Abhik; Elliott-Higgins, Jack; Hines, Ronald N.; Miller, Grover P.; Swamidass, S. Joshua
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errSave

Research Directions

No research directions
Co-authors
Cooperation Journals
E
Elaine R. Mardis
H-index: 197 · Papers: 1.7K
T
Todd R. Golub
H-index: 176 · Papers: 749
J
John P. Moore
H-index: 132 · Papers: 572
C
Carl Nathan
H-index: 127 · Papers: 424
R
Ramaswamy Govindan
H-index: 127 · Papers: 1.2K
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