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Toward Individualized Prediction of Response to Methotrexate in Early Rheumatoid Arthritis: A Pharmacogenomics‐Driven Machine Learning Approach

Arthritis care & research (2010), 2022-06, Vol.74 (6), p.879-888

2022

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Preliminary Evidence for Anhedonia as a Marker of Sexual Trauma in Female Adolescents

Adolescent health, medicine and therapeutics, 2021-01, Vol.12 (1), p.67-75

2021

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Survivable smart grid communication: Smart-meters meshes to the rescue

2012 International Conference on Computing, Networking and Communications (ICNC), 2012, p.104-110

2012

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Self-organization of a mesh hierarchy for smart grid monitoring in outage scenarios

2013 IEEE PES Innovative Smart Grid Technologies Conference (ISGT), 2013, p.1-6

2013

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Towards secure multi-path routing for wireless mobile ad-hoc networks: A cross-layer strategy

2011 8th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, 2011, p.146-148

2011

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Ferric citrate controls phosphorus and delivers iron in patients on dialysis

Journal of the American Society of Nephrology, 2015-02, Vol.26 (2), p.493-503

2015

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A comparative assessment of fatigue deformation behavior of 316 LN SS at ambient and high temperature

Materials science & engineering. A, Structural materials : properties, microstructure and processing, 2017-06, Vol.696, p.407-415

2017

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Use of Mobile and Wearable Artificial Intelligence in Child and Adolescent Psychiatry: Scoping Review

Journal of medical Internet research, 2022-03, Vol.24 (3), p.e33560-e33560

2022

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Juvenile localized scleroderma: clinical and epidemiological features in 750 children. An international study

Rheumatology (Oxford, England), 2006-05, Vol.45 (5), p.614-620

2006

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Machine Learning Predicts Conversion from Normal Aging to Mild Cognitive Impairment Using Medical History, APOE Genotype, and Neuropsychological Assessment

Journal of Alzheimer's disease, 2024-01, Vol.98 (1), p.83-94

2024

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Discovery and Opportunities With Integrative Analytics Using Multiple‐Omics Data

Hepatology (Baltimore, Md.), 2021-08, Vol.74 (2), p.1081-1087

2021

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Wearable Technologies for Detecting Burnout and Well-Being in Health Care Professionals: Scoping Review

Journal of medical Internet research, 2024-06, Vol.26 (2), p.e50253

2024

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THE ROLE OF COMMUNICATION IN DEVELOPING RURAL INDIA, A CRITICAL CASE STUDY ON “PROTOVILLAGE”, ANDHRA PRADESH, INDIA

ShodhKosh: Journal of Visual and Performing Arts, 2023-10, Vol.4 (2CDSDAD)

2023

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Pharmacogenomics‐Driven Prediction of Antidepressant Treatment Outcomes: A Machine‐Learning Approach With Multi‐trial Replication

Clinical pharmacology and therapeutics, 2019-10, Vol.106 (4), p.855-865

2019

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Discovery and Opportunities with Novel Integrative Analytics Using Multiple-Omics Data

Hepatology (Baltimore, Md.), 2021-07, Vol.74 (2), p.1081-1087

2021

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Branching Processes

1, 1972

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Selective Serotonin Reuptake Inhibitor Pharmaco-Omics: Mechanisms and Prediction

Frontiers in pharmacology, 2021-01, Vol.11, p.614048-614048

2021

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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, 2024-10

2024

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Multi-omics driven predictions of response to acute phase combination antidepressant therapy: a machine learning approach with cross-trial replication

Translational psychiatry, 2021-10, Vol.11 (1), p.513-513, Article 513

2021

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Toward a Definition of “No Meaningful Benefit” From Antidepressant Treatment: An Equipercentile Analysis With Cross-Trial Validation Across Multiple Rating Scales

The journal of clinical psychiatry, 2022-06, Vol.83 (4)

2022

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Machine learning, pharmacogenomics, and clinical psychiatry: predicting antidepressant response in patients with major depressive disorder

Expert review of clinical pharmacology, 2022-08, Vol.15 (8), p.927-944

2022

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Population pharmacokinetic model of cefepime for critically ill adults: a comparative assessment of eGFR equations

Antimicrobial agents and chemotherapy, 2023-11, Vol.67 (11), p.e0081023-e0081023

2023

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Developmental changes in brain structure and function following exposure to oral LSD during adolescence

Scientific reports, 2024-08, Vol.14 (1), p.18632-15, Article 18632

2024

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ACE2 and TMPRSS2 SARS-CoV-2 infectivity genes: deep mutational scanning and characterization of missense variants

Human molecular genetics, 2022-12, Vol.31 (24), p.4183-4192

2022

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Machine Learning Identifies Smartwatch-Based Physiological Biomarker for Predicting Disruptive Behavior in Children: A Feasibility Study

Journal of child and adolescent psychopharmacology, 2023-11, Vol.33 (9), p.387-392

2023

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Toward Individualized Prediction of Response to Methotrexate in Early Rheumatoid Arthritis: A Pharmacogenomics‐Driven Machine Learning Approach

Preliminary Evidence for Anhedonia as a Marker of Sexual Trauma in Female Adolescents

Survivable smart grid communication: Smart-meters meshes to the rescue

Self-organization of a mesh hierarchy for smart grid monitoring in outage scenarios

Towards secure multi-path routing for wireless mobile ad-hoc networks: A cross-layer strategy

Ferric citrate controls phosphorus and delivers iron in patients on dialysis

A comparative assessment of fatigue deformation behavior of 316 LN SS at ambient and high temperature

Use of Mobile and Wearable Artificial Intelligence in Child and Adolescent Psychiatry: Scoping Review

Juvenile localized scleroderma: clinical and epidemiological features in 750 children. An international study

Machine Learning Predicts Conversion from Normal Aging to Mild Cognitive Impairment Using Medical History, APOE Genotype, and Neuropsychological Assessment

Discovery and Opportunities With Integrative Analytics Using Multiple‐Omics Data

Wearable Technologies for Detecting Burnout and Well-Being in Health Care Professionals: Scoping Review

THE ROLE OF COMMUNICATION IN DEVELOPING RURAL INDIA, A CRITICAL CASE STUDY ON “PROTOVILLAGE”, ANDHRA PRADESH, INDIA

Pharmacogenomics‐Driven Prediction of Antidepressant Treatment Outcomes: A Machine‐Learning Approach With Multi‐trial Replication

Discovery and Opportunities with Novel Integrative Analytics Using Multiple-Omics Data

Branching Processes

Selective Serotonin Reuptake Inhibitor Pharmaco-Omics: Mechanisms and Prediction

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

Multi-omics driven predictions of response to acute phase combination antidepressant therapy: a machine learning approach with cross-trial replication

Toward a Definition of “No Meaningful Benefit” From Antidepressant Treatment: An Equipercentile Analysis With Cross-Trial Validation Across Multiple Rating Scales

Machine learning, pharmacogenomics, and clinical psychiatry: predicting antidepressant response in patients with major depressive disorder

Population pharmacokinetic model of cefepime for critically ill adults: a comparative assessment of eGFR equations

Developmental changes in brain structure and function following exposure to oral LSD during adolescence

ACE2 and TMPRSS2 SARS-CoV-2 infectivity genes: deep mutational scanning and characterization of missense variants

Machine Learning Identifies Smartwatch-Based Physiological Biomarker for Predicting Disruptive Behavior in Children: A Feasibility Study

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