Machine Learning Predicts Conversion from Normal Aging to Mild Cognitive Impairment Using Medical History, APOE Genotype, and Neuropsychological Assessment
Prabhakaran, Divya, Grant, Caroline, Pedraza, Otto, Caselli, Richard, Athreya, Arjun P, Chandler, Melanie
Published in Journal of Alzheimer's disease (01.01.2024)
Published in Journal of Alzheimer's disease (01.01.2024)
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Use of Mobile and Wearable Artificial Intelligence in Child and Adolescent Psychiatry: Scoping Review
Welch, Victoria, Wy, Tom Joshua, Ligezka, Anna, Hassett, Leslie C, Croarkin, Paul E, Athreya, Arjun P, Romanowicz, Magdalena
Published in Journal of medical Internet research (14.03.2022)
Published in Journal of medical Internet research (14.03.2022)
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Pharmacogenomics‐Driven Prediction of Antidepressant Treatment Outcomes: A Machine‐Learning Approach With Multi‐trial Replication
Athreya, Arjun P., Neavin, Drew, Carrillo‐Roa, Tania, Skime, Michelle, Biernacka, Joanna, Frye, Mark A., Rush, A. John, Wang, Liewei, Binder, Elisabeth B., Iyer, Ravishankar K., Weinshilboum, Richard M., Bobo, William V.
Published in Clinical pharmacology and therapeutics (01.10.2019)
Published in Clinical pharmacology and therapeutics (01.10.2019)
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Wearable Technologies for Detecting Burnout and Well-Being in Health Care Professionals: Scoping Review
Barac, Milica, Scaletty, Samantha, Hassett, Leslie C, Stillwell, Ashley, Croarkin, Paul E, Chauhan, Mohit, Chesak, Sherry, Bobo, William V, Athreya, Arjun P, Dyrbye, Liselotte N
Published in Journal of medical Internet research (25.06.2024)
Published in Journal of medical Internet research (25.06.2024)
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Journal Article
Predicting remission after acute phase pharmacotherapy in patients with bipolar I depression: A machine learning approach with cross-trial and cross-drug replication
Marrero-Polanco, Jean, Joyce, Jeremiah B, Grant, Caroline W, Croarkin, Paul E, Athreya, Arjun P, Bobo, William V
Published in Bipolar disorders (03.10.2024)
Published in Bipolar disorders (03.10.2024)
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Clinical predictors of response to methotrexate in patients with rheumatoid arthritis: a machine learning approach using clinical trial data
Duong, Stephanie Q, Crowson, Cynthia S, Athreya, Arjun, Atkinson, Elizabeth J, Davis, John M, Warrington, Kenneth J, Matteson, Eric L, Weinshilboum, Richard, Wang, Liewei, Myasoedova, Elena
Published in Arthritis research & therapy (01.07.2022)
Published in Arthritis research & therapy (01.07.2022)
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ACE2 and TMPRSS2 SARS-CoV-2 infectivity genes: deep mutational scanning and characterization of missense variants
Zhang, Lingxin, Sarangi, Vivekananda, Liu, Duan, Ho, Ming-Fen, Grassi, Angela R, Wei, Lixuan, Moon, Irene, Vierkant, Robert A, Larson, Nicholas B, Lazaridis, Konstantinos N, Athreya, Arjun P, Wang, Liewei, Weinshilboum, Richard
Published in Human molecular genetics (16.12.2022)
Published in Human molecular genetics (16.12.2022)
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Population pharmacokinetic model of cefepime for critically ill adults: a comparative assessment of eGFR equations
Barreto, Erin F, Chang, Jack, Rule, Andrew D, Mara, Kristin C, Meade, Laurie A, Paul, Johar, Jannetto, Paul J, Athreya, Arjun P, Scheetz, Marc H
Published in Antimicrobial agents and chemotherapy (15.11.2023)
Published in Antimicrobial agents and chemotherapy (15.11.2023)
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Selective Serotonin Reuptake Inhibitor Pharmaco-Omics: Mechanisms and Prediction
Nguyen, Thanh Thanh L, Liu, Duan, Ho, Ming-Fen, Athreya, Arjun P, Weinshilboum, Richard
Published in Frontiers in pharmacology (11.01.2021)
Published in Frontiers in pharmacology (11.01.2021)
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Machine Learning Identifies Smartwatch-Based Physiological Biomarker for Predicting Disruptive Behavior in Children: A Feasibility Study
Romanowicz, Magdalena, Croarkin, Kyle S, Elmaghraby, Rana, Skime, Michelle, Croarkin, Paul E, Vande Voort, Jennifer L, Shekunov, Julia, Athreya, Arjun P
Published in Journal of child and adolescent psychopharmacology (01.11.2023)
Published in Journal of child and adolescent psychopharmacology (01.11.2023)
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Multi-omics driven predictions of response to acute phase combination antidepressant therapy: a machine learning approach with cross-trial replication
Joyce, Jeremiah B., Grant, Caroline W., Liu, Duan, MahmoudianDehkordi, Siamak, Kaddurah-Daouk, Rima, Skime, Michelle, Biernacka, Joanna, Frye, Mark A., Mayes, Taryn, Carmody, Thomas, Croarkin, Paul E., Wang, Liewei, Weinshilboum, Richard, Bobo, William V., Trivedi, Madhukar H., Athreya, Arjun P.
Published in Translational psychiatry (07.10.2021)
Published in Translational psychiatry (07.10.2021)
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Efficacy and safety of lamotrigine in pediatric mood disorders: A systematic review
Kumar, Rakesh, Garzon, Juan, Yuruk, Deniz, Hassett, Leslie C., Saliba, Maria, Ozger, Can, Oztosun, Cinar, Ahern, Kelly, Athreya, Arjun P., Singh, Balwinder, Croarkin, Paul E., Vande Voort, Jennifer L.
Published in Acta psychiatrica Scandinavica (01.03.2023)
Published in Acta psychiatrica Scandinavica (01.03.2023)
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The Association of Antidepressants in Late Pregnancy with Postpartum Hemorrhage: Systematic Review of Controlled Observational Studies
Bobo, William V, Moore, Katherine M, Betcher, Hannah K, Larish, Alyssa M, Stoppel, Cynthis M, VandeVoort, Jennifer L, Chauhan, Mohit, Athreya, Arjun P, Talati, Ardesheer
Published in Journal of child and adolescent psychopharmacology (25.10.2024)
Published in Journal of child and adolescent psychopharmacology (25.10.2024)
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Integration of machine learning and pharmacogenomic biomarkers for predicting response to antidepressant treatment: can computational intelligence be used to augment clinical assessments?
Athreya, Arjun P, Iyer, Ravishankar, Wang, Liewei, Weinshilboum, Richard M, Bobo, William V
Published in Pharmacogenomics (01.09.2019)
Published in Pharmacogenomics (01.09.2019)
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Prediction of short-term antidepressant response using probabilistic graphical models with replication across multiple drugs and treatment settings
Athreya, Arjun P, Brückl, Tanja, Binder, Elisabeth B, John Rush, A, Biernacka, Joanna, Frye, Mark A, Neavin, Drew, Skime, Michelle, Monrad, Ditlev, Iyer, Ravishankar K, Mayes, Taryn, Trivedi, Madhukar, Carter, Rickey E, Wang, Liewei, Weinshilboum, Richard M, Croarkin, Paul E, Bobo, William V
Published in Neuropsychopharmacology (New York, N.Y.) (01.06.2021)
Published in Neuropsychopharmacology (New York, N.Y.) (01.06.2021)
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Journal Article
Toward Individualized Prediction of Response to Methotrexate in Early Rheumatoid Arthritis: A Pharmacogenomics‐Driven Machine Learning Approach
Myasoedova, Elena, Athreya, Arjun P., Crowson, Cynthia S., Davis, John M., Warrington, Kenneth J., Walchak, Robert C., Carlson, Erin, Kalari, Krishna R., Bongartz, Tim, Tak, Paul P., Vollenhoven, Ronald F., Padyukov, Leonid, Emery, Paul, Morgan, Ann, Wang, Liewei, Weinshilboum, Richard M., Matteson, Eric L.
Published in Arthritis care & research (2010) (01.06.2022)
Published in Arthritis care & research (2010) (01.06.2022)
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Evidence for machine learning guided early prediction of acute outcomes in the treatment of depressed children and adolescents with antidepressants
Athreya, Arjun P., Vande Voort, Jennifer L., Shekunov, Julia, Rackley, Sandra J., Leffler, Jarrod M., McKean, Alastair J., Romanowicz, Magdalena, Kennard, Betsy D., Emslie, Graham J., Mayes, Taryn, Trivedi, Madhukar, Wang, Liewei, Weinshilboum, Richard M., Bobo, William V., Croarkin, Paul E.
Published in Journal of child psychology and psychiatry (01.11.2022)
Published in Journal of child psychology and psychiatry (01.11.2022)
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Pharmacogenomic augmented machine learning in electronic health record alerts: A health system‐wide usability survey of clinicians
Grant, Caroline W., Marrero‐Polanco, Jean, Joyce, Jeremiah B., Barry, Barbara, Stillwell, Ashley, Kruger, Kellie, Anderson, Therese, Talley, Heather, Hedges, Mary, Valery, Jose, White, Richard, Sharp, Richard R., Croarkin, Paul E., Dyrbye, Liselotte N., Bobo, William V., Athreya, Arjun P.
Published in Clinical and translational science (01.10.2024)
Published in Clinical and translational science (01.10.2024)
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Network science approach elucidates integrative genomic-metabolomic signature of antidepressant response and lifetime history of attempted suicide in adults with major depressive disorder
Grant, Caroline W, Wilton, Angelina R, Kaddurah-Daouk, Rima, Skime, Michelle, Biernacka, Joanna, Mayes, Taryn, Carmody, Thomas, Wang, Liewei, Lazaridis, Konstantinos, Weinshilboum, Richard, Bobo, William V, Trivedi, Madhukar H, Croarkin, Paul E, Athreya, Arjun P
Published in Frontiers in pharmacology (03.10.2022)
Published in Frontiers in pharmacology (03.10.2022)
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