Arjun P. Athreya - Publications, H-index & Citations

Arjun P. Athreya

mayo clinic

17H指数

109论文数

1.1K被引数

收录论文 41

发表时间

Device and Data Access Considerations for Digital Health Studies Using Consumer-Grade Wearables: An Experience-Based Tutorial 面向使用消费级可穿戴设备的数字健康研究的设备与数据访问考量：基于经验的教程

CTS-Clinical and Translational Science

IF2.8

2026-09-20

OAAI

Mike Zhu; Joshua D. Spencer; Sherry Chesak; Magdalena Romanowicz; Mohit Chauhan; Liselotte N. Dyrbye; Paul E. Croarkin; William V. Bobo; Arjun P. Athreya

Gut microbiome signatures during acute infection are associated with long COVID 急性感染期间肠道微生物组特征与长新冠相关

Gut Microbes

IF11

2026-08-19

OAAI

Isin Y. Comba; Ruben A. T. Mars; Lu Yang; Mitchell Dumais; Jun Chen; Trena M. Van Gorp; Jonathan J. Harrington; Jason P. Sinnwell; Stephen Johnson; LaRinda A. Holland; Adam K. Khan; Efrem S. Lim; Christopher Aakre; Arjun P. Athreya; Georg K. Gerber; Jack C. O’Horo; Konstantinos N. Lazaridis; Purna C. Kashyap

Cardiac Biomarkers as Potential Indicators of Neuroimaging Brain Changes in Children and Young Adults with Psychiatric Disorders: A Systematic Review 儿童和青年精神障碍患者中，心脏生物标志物作为神经影像学脑变化的潜在指标：一项系统综述

Journal of Child and Adolescent Psychopharmacology

IF2.2

2026-08-01

PREAI

Sangster-Carrasco, Lucero; Azamet, Irem; Bakir, Cicek N.; Delany, Karina; Gerberi, Dana; Romanowicz, Magdalena; Athreya, Arjun P.; Croarkin, Paul E.

The validation of measured and self-reported sleep duration and perceived sleep quality: an empirical study with three generations of smartwatches 测量和自我报告的睡眠时长与感知睡眠质量的验证：一项基于三代智能手表的实证研究

Frontiers in Psychiatry

IF3.2

2026-04-20

OAAI

CT Christina T. Saliba; AR Angelina R. Wilton; KS Katharine Sheffield; QW Quantia Wilkes; MA Miriam Anacker; CP Colin P. West; PE Paul E. Croarkin; LN Liselotte N. Dyrbye; SS Sherry S. Chesak; WV William V. Bobo; AP Arjun P. Athreya; MC Mohit Chauhan

Compositional and functional differences of gut microbiome and metabolome inform pathogenesis of cholestatic liver disease 肠道微生物组与代谢组的组成和功能差异揭示了胆汁淤积性肝病的发病机制

Gut Microbes

IF11

2026-04-13

OAAI

Marios Nikolaidis; Chang Hu; Brian D. Juran; Bryan M. McCauley; Erik M. Schlicht; Jackie K. Bianchi; Ahmad H. Ali; Venetia Tragaki; Elizabeth J. Atkinson; Stephen Johnson; Ruben A. Mars; John E. Eaton; Elizabeth J. Carey; Andre Franke; Christoph Schramm; Purna C. Kashyap; Young-Mi Go; ViLinh Tran; Sami Teeny; Dean P. Jones; Caroline W. Grant; Arjun P. Athreya; Gary W. Miller; Nicholas F. LaRusso; Gregory J. Gores; Tom H. Karlsen; Johannes R. Hov; Grigorios D. Amoutzias; Konstantinos N. Lazaridis

Individualized Medicine in the Era of Artificial Intelligence 人工智能时代的个性化医学

Mayo Clinic Proceedings

IF6.7

2025-10-01

PREAI

Konstantinos N. Lazaridis; Eric W. Klee; Timothy B. Curry; Victor E. Ortega; William V. Bobo; Arjun P. Athreya; Rebekah M. Samsonraj

Towards causal inference-based antidepressant selection with brain and blood biomarkers 基于脑部和血液生物标志物的因果推断导向的抗抑郁药选择

Neuropsychopharmacology

IF7.1

2025-09-05

OAAI

Milica Barac; Caroline W. Grant; Russell Toll; Thomas Carmody; Abu Minhajuddin; Cherise Chin Fatt; Jane A. Foster; Paul E. Croarkin; William V. Bobo; Manish K. Jha; Arjun P. Athreya; Madhukar H. Trivedi

Piperacillin/tazobactam Clearance Predicted by Non-Creatinine Based Estimates of GFR in Critically Ill Adults 哌拉西林/他唑巴坦清除率由非肌酐基线估算的肾小球滤过率预测在危重成人中

International Journal of Antimicrobial Agents

IF4.6

2025-08-05

PREAI

Erin F. Barreto; Jack Chang; Andrew D. Rule; Kristin C. Cole; Lindsay Fogelson; Johar Paul; Paul J. Jannetto; Arjun P. Athreya; Marc H. Scheetz

Quantifying Sample Representation in Global Pharmacogenomic Studies of Major Depressive Disorder: A Systematic Review 量化重度抑郁症全球药物基因组学研究中的样本代表性：一项系统综述

cts clinical and translational science

IF0

2025-07-03

OAAI

Linsey Jackson; Karina Delaney; Justin Bobo; Caroline W. Grant; Leslie Hassett; Liewei Wang; Richard Weinshilboum; Paul E. Croarkin; Ann Moyer; Melanie T. Gentry; Arjun P. Athreya

The occurrence of and risk factors for depressive symptomatology in myocarditis survivors: a cross-sectional survey-based study using machine learning 心肌炎幸存者中抑郁症状的发生情况及其风险因素：一项基于机器学习的横断面调查问卷研究

FRONTIERS IN PSYCHIATRY

IF3.2

2025-04-28

OAAI

Marrero-Polanco, Jean; Suarez Pardo, Laura; Niazi, Shehzad K.; Smith, Daniel G.; Stoppel, Cynthia J.; Moose, Candace; Athreya, Arjun P.; Cooper, Leslie T.; Bobo, William V.

Participant-Centered Engagement for Sustained Adherence to Smartwatches: A 12-Month Prospective Decentralized Digital Health Study

CTS-CLINICAL AND TRANSLATIONAL SCIENCE

IF2.8

2025-02-15

OAAI

Wilton, Angelina R.; Saliba, Christina T.; Marrero-Polanco, Jean; Sheffield, Katharine; Wilkes, Quantia; Anacker, Miriam; Croarkin, Paul E.; Chauhan, Mohit; Dyrbye, Liselotte N.; Chesak, Sherry; Bobo, William V.; Athreya, Arjun P.

Physician Perspectives on the Potential Benefits and Risks of Applying Artificial Intelligence in Psychiatric Medicine: Qualitative Study 医生对在精神医学中应用人工智能的潜在益处和风险的看法：定性研究

JMIR MENTAL HEALTH

IF5.8

2025-02-10

OAAI

Stroud, Austin M.; Curtis, Susan H.; Weir, Isabel B.; Stout, Jeremiah J.; Barry, Barbara A.; Bobo, William, V; Athreya, Arjun P.

An integrative multi-omics analysis reveals a multi-analyte signature of pancreatic ductal adenocarcinoma in serum 整合的多组学分析揭示了血清中胰腺导管腺癌的多分析物特征

JOURNAL OF GASTROENTEROLOGY

IF5.5

2024-12-12

PREAI

Balaya, Rex Devasahayam Arokia; Sen, Partho; Grant, Caroline W.; Zenka, Roman; Sappani, Marimuthu; Lakshmanan, Jeyaseelan; Athreya, Arjun P.; Kandasamy, Richard K.; Pandey, Akhilesh; Byeon, Seul Kee

Development and Validation of Machine Learning-based Ischemic Outcome Prediction Using Clinical and Genetic Data in Patients with Percutaneous Coronary Intervention 基于临床和遗传数据的机器学习缺血结局预测的开发与验证：经皮冠状动脉介入治疗患者研究

CIRCULATION

IF38.6

2024-11-12

PREAI

Grant, Caroline; Kowlgi, Gurukripa; Lennon, Ryan; Cavallari, Larisa; Lee, Craig; Beitelshees, Amber; Angiolillo, Dominick; Franchi, Francesco; Duarte, Julio; Rossi, Joe; Stouffer, George; Klee, Eric; Gulati, Rajiv; Lerman, Amir; Rihal, Charanjit; Farkouh, Michael; Athreya, Arjun; Pereira, Naveen

Pharmacogenomic augmented machine learning in electronic health record alerts: A health system-wide usability survey of clinicians

CTS-CLINICAL AND TRANSLATIONAL SCIENCE

IF2.8

2024-10-14

OAAI

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.

Predicting remission after acute phase pharmacotherapy in patients with bipolar I depression: A machine learning approach with cross-trial and cross-drug replication

BIPOLAR DISORDERS

IF4.5

2024-10-03

OAAI

Marrero-Polanco, Jean; Joyce, Jeremiah B.; Grant, Caroline W.; Croarkin, Paul E.; Athreya, Arjun P.; Bobo, William V.

Wearable Technologies for Detecting Burnout and Well-Being in Health Care Professionals: Scoping Review 用于检测医疗保健专业人员倦怠和幸福感的可穿戴技术: 范围审查

JOURNAL OF MEDICAL INTERNET RESEARCH

IF6

2024-06-25

OAAI

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.

Metabolome-wide association identifies altered metabolites and metabolic pathways in the serum of patients with cholangiocarcinoma 全代谢组关联确定胆管癌患者血清中代谢产物和代谢途径的改变

JHEP REPORTS

IF7.5

2024-06-01

OAAI

Jackson, Linsey E.; Tomlinson, Jennifer L.; -Ruiz, Roberto Alva; Gregory, Lindsey A.; Byeon, Seul Kee; Abdelrahman, Amro M.; Mun, Dong-Gi; Grant, Caroline W.; Fogarty, Zachary C.; Wang, Chen; Roberts, Lewis R.; Graham, Rondell P.; Borad, Mitesh J.; Ilyas, Sumera I.; Gores, Gregory J.; Pandey, Akhilesh; Athreya, Arjun P.; Smoot, Rory L.

Machine Learning Predicts Conversion from Normal Aging to Mild Cognitive Impairment Using Medical History, APOE Genotype, and Neuropsychological Assessment 机器学习使用病史，APOE基因型和神经心理学评估预测从正常衰老到轻度认知障碍的转换

JOURNAL OF ALZHEIMERS DISEASE

IF3.1

2024-03-05

OAAI

Prabhakaran, Divya; Grant, Caroline; Pedraza, Otto; Caselli, Richard; Athreya, Arjun P.; Chandler, Melanie

The Burnout PRedictiOn Using Wearable aNd ArtIficial IntelligEnce (BROWNIE) study: a decentralized digital health protocol to predict burnout in registered nurses

BMC NURSING

IF3.9

2024-02-13

OAAI

Wilton, Angelina R.; Sheffield, Katharine; Wilkes, Quantia; Chesak, Sherry; Pacyna, Joel; Sharp, Richard; Croarkin, Paul E.; Chauhan, Mohit; Dyrbye, Liselotte N.; Bobo, William V.; Athreya, Arjun P.

研究方向