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S

S. Joshua Swamidass

Saint Louis University
H-index:41
Citation Count:8,127
Views:0

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Development of a deep learning algorithm for Paneth cell density quantification for inflammatory bowel disease
EBIOMEDICINE
IF10.8
2024-12-010
PRE
Kang, 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
Understanding and mitigating the impact of race with adversarial autoencoders
COMMUNICATIONS MEDICINE
IF6.3
2024-10-230
OA
Sarullo, Kathryn; Swamidass, S. Joshua
Role of Artificial Intelligence in Kidney Pathology: Promises and Pitfalls
KIDNEY360
IF3
2024-06-051
OAAI
Goodman, Kyle; Sarullo, Kathryn; Swamidass, S. Joshua; Gaut, Joseph P.; Jain, Sanjay
GAiN: An integrative tool utilizing generative adversarial neural networks for augmented gene expression analysis
PATTERNS
IF7.4
2024-02-012
OAAI
Waters, 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
Disentangling Socioeconomic Status and Race in Infant Brain, Birth Weight, and Gestational Age at Birth: A Neural Network Analysis
BIOLOGICAL PSYCHIATRY: GLOBAL OPEN SCIENCE
IF3.7
2024-01-013
OAAI
Sarullo, Kathryn; Barch, Deanna M.; Smyser, Christopher D.; Rogers, Cynthia; Warner, Barbara B.; Miller, J. Philip; England, Sarah K.; Luby, Joan; Swamidass, S. Joshua
Message Passing Neural Networks Improve Prediction of Metabolite Authenticity
JOURNAL OF CHEMICAL INFORMATION AND MODELING
IF5.3
2023-03-162
OA
Flynn, Noah R.; Swamidass, S. Joshua
Bioactivation of Isoxazole-Containing Bromodomain and Extra-Terminal Domain (BET) Inhibitors
METABOLITES
IF3.7
2021-06-154
OAAI
Flynn, 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.
Impacts of diphenylamine NSAID halogenation on bioactivation risks
TOXICOLOGY
IF4.6
2021-06-015
OAAI
Schleiff, Mary Alexandra; Payakachat, Sasin; Schleiff, Benjamin Mark; Swamidass, S. Joshua; Boysen, Gunnar; Miller, Grover Paul
'Black Box' to 'Conversational' Machine Learning: Ondansetron Reduces Risk of Hospital-Acquired Venous Thromboembolism
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
IF6.8
2021-06-0124
PRE
Datta, Arghya; Matlock, Matthew K.; Dang, Na Le; Moulin, Thiago; Woeltje, Keith F.; Yanik, Elizabeth L.; Swamidass, Sanjay Joshua
Deep learning the structural determinants of protein biochemical properties by comparing structural ensembles with DiffNets
NATURE COMMUNICATIONS
IF15.7
2021-05-2151
OAAI
Ward, Michael D.; Zimmerman, Maxwell, I; Meller, Artur; Chung, Moses; Swamidass, S. J.; Bowman, Gregory R.
Structural Variations among Marketed Diphenylamine NSAIDs Determine Preference and Efficiency for Four Possible Bioactivation Pathways
FASEB JOURNAL
IF4.2
2021-05-140
OA
Schleiff, Mary; Payakachat, Sasin; Miller, Grover; Boysen, Gunnar; Swamidass, Joshua
Novel Bioactivation of Isoxazole-containing Bromodomain and Extra Terminal Domain (BET) Inhibitors
FASEB JOURNAL
IF4.2
2021-05-140
PRE
Miller, Grover; Schleiff, Mary; Flynn, Noah; Ward, Michael; Laurin, Coretine; Conway, Stuart; Swamidass, S.
Modeling the Bioactivation and Subsequent Reactivity of Drugs
CHEMICAL RESEARCH IN TOXICOLOGY
IF3.8
2021-01-2611
OAAI
Hughes, Tyler B.; Flynn, Noah; Dang, Na Le; Swamidass, S. Joshua
Deep learning quantification of percent steatosis in donor liver biopsy frozen sections

供体肝活检冷冻切片中脂肪变性百分比的深度学习量化

EBIOMEDICINE
IF10.8
2020-10-0138
OAAI
Sun, Lulu; Marsh, Jon N.; Matlock, Matthew K.; Chen, Ling; Gaut, Joseph P.; Brunt, Elizabeth M.; Swamidass, S. Joshua; Liu, Ta-Chiang
Metabolic Forest: Predicting the Diverse Structures of Drug Metabolites
JOURNAL OF CHEMICAL INFORMATION AND MODELING
IF5.3
2020-09-0314
OAAI
Hughes, Tyler B.; Le Dang, Na; Kumar, Ayush; Flynn, Noah R.; Swamidass, S. Joshua
Dual mechanisms suppress meloxicam bioactivation relative to sudoxicam
TOXICOLOGY
IF4.6
2020-07-0119
OAAI
Barnette, Dustyn A.; Schleiff, Mary A.; Osborn, Laura R.; Flynn, Noah; Matlock, Matthew; Swamidass, S. Joshua; Miller, Grover P.
XenoNet: Inference and Likelihood of Intermediate Metabolite Formation
JOURNAL OF CHEMICAL INFORMATION AND MODELING
IF5.3
2020-06-1113
OAAI
Flynn, Noah R.; Le Dang, Na; Ward, Michael D.; Swamidass, S. Joshua
The Metabolic Rainbow: Deep Learning Phase I Metabolism in Five Colors
JOURNAL OF CHEMICAL INFORMATION AND MODELING
IF5.3
2020-02-1033
OAAI
Dang, Na Le; Matlock, Matthew K.; Hughes, Tyler B.; Swamidass, S. Joshua
Comprehensive kinetic and modeling analyses revealed CYP2C9 and 3A4 determine terbinafine metabolic clearance and bioactivation
BIOCHEMICAL PHARMACOLOGY
IF5.6
2019-12-0113
OAAI
Barnette, Dustyn A.; Davis, Mary A.; Flynn, Noah; Pidugu, Anirudh S.; Swamidass, S. Joshua; Miller, Grover P.
A Time-Embedding Network Models the Ontogeny of 23 Hepatic Drug Metabolizing Enzymes
CHEMICAL RESEARCH IN TOXICOLOGY
IF3.8
2019-07-1511
OAAI
Matlock, Matthew K.; Tambe, Abhik; Elliott-Higgins, Jack; Hines, Ronald N.; Miller, Grover P.; Swamidass, S. Joshua

Research Directions

The data has not been retrieved yet.
G
Grover P. Miller
H-index:34Papers:130Citations:3,459
T
Tyler B. Hughes
H-index:16Papers:24Citations:1,568
M
Matthew K. Matlock
H-index:16Papers:35Citations:1,882
N
Na Le Dang
H-index:14Papers:40Citations:1,010
P
Pierre Baldi
H-index:118Papers:721Citations:5.3万
N
Noah R. Flynn
H-index:9Papers:20Citations:212
G
Gunnar Boysen
H-index:33Papers:137Citations:3,534
M
Mary A. Schleiff
H-index:8Papers:21Citations:172
K
Kathryn Sarullo
H-index:4Papers:9Citations:30
D
Dustyn A. Barnette
H-index:11Papers:15Citations:276