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Precision Health Database


Genomics & Health Impact Scan Database|Search|PHGKB

Pharmacogenomics

Last data update: Apr 26, 2021. (Total: 39721 Documents since 2012)
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Records 1-30 (of 93 Record(s))
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Publication
Machine Learning as a Precision-Medicine Approach to Prescribing COVID-19 Pharmacotherapy with Remdesivir or Corticosteroids.
Lam Carson et al. Clinical therapeutics 2021
Systematic Review of Machine Learning Models for Personalised Dosing of Heparin.
Falconer Nazanin et al. British journal of clinical pharmacology 2021
The prediction of preeclampsia: the way forward.
Myatt Leslie et al. American journal of obstetrics and gynecology 2021
Towards realizing the vision of precision medicine: AI based prediction of clinical drug response.
de Jong Johann et al. Brain : a journal of neurology 2021
Prognostic Value of Deep Learning-Mediated Treatment Monitoring in Lung Cancer Patients Receiving Immunotherapy.
Trebeschi Stefano et al. Frontiers in oncology 2021 11609054
A meta-analysis of Watson for Oncology in clinical application.
Jie Zhou et al. Scientific reports 2021 11(1) 5792
Using machine learning to predict suicide in the 30 days after discharge from psychiatric hospital in Denmark.
Jiang Tammy et al. The British journal of psychiatry : the journal of mental science 2021 1-8
Machine Learning for Detection of Safety Signals From Spontaneous Reporting System Data: Example of Nivolumab and Docetaxel.
Bae Ji-Hwan et al. Frontiers in pharmacology 2021 11602365
Predicting of Sentinel Lymph Node Status in Breast Cancer Patients with Clinically Negative Nodes: A Validation Study.
Fanizzi Annarita et al. Cancers 2021 Jan 13(2)
Frontal electroencephalogram based drug, sex, and age independent sedation level prediction using non-linear machine learning algorithms.
Ramaswamy S M et al. Journal of clinical monitoring and computing 2020 Dec
Application of Machine Learning for Tumor Growth Inhibition - Overall Survival Modeling Platform.
Chan Phyllis et al. CPT: pharmacometrics & systems pharmacology 2020 Dec
Evaluating warfarin dosing models on multiple datasets with a novel software framework and evolutionary optimisation.
Truda Gianluca et al. Journal of biomedical informatics 2020 Nov 103634
Is Machine Learning a Better Way to Identify COVID-19 Patients Who Might Benefit from Hydroxychloroquine Treatment?-The IDENTIFY Trial.
Burdick Hoyt et al. Journal of clinical medicine 2020 Nov 9(12)
[Network analysis by systemic text excavation of the concept of personalized psychiatry and precision].
Gauld C et al. L'Encephale 2020 Nov
A Personalized Medicine Approach Using Clinical Utility Index and Exposure-Response Modeling Informed by Patient Preferences Data.
Winzenborg Insa et al. CPT: pharmacometrics & systems pharmacology 2020 Nov
Use of Patient-Reported Symptoms from an Online Symptom Tracking Tool for Dementia Severity Staging: Development and Validation of a Machine Learning Approach.
Shehzad Aaqib et al. Journal of medical Internet research 2020 Nov 22(11) e20840
Predicting antibiotic resistance in hospitalized patients by applying machine learning to electronic medical records.
Lewin-Epstein Ohad et al. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America 2020 Oct
Prediction of Antidepressant Treatment Response and Remission Using an Ensemble Machine Learning Framework.
Lin Eugene et al. Pharmaceuticals (Basel, Switzerland) 2020 Oct 13(10)
Remdesivir and interferon fall flat in WHO’s megastudy of COVID-19 treatments
K Kupferschmidt, Science, October 16, 2020
Artificial intelligence in in vitro fertilization: a computer decision support system for day-to-day management of ovarian stimulation during in vitro fertilization.
Letterie Gerard et al. Fertility and sterility 2020 Oct
Reducing HbA1c in Type 2 Diabetes Using Digital Twin Technology-Enabled Precision Nutrition: A Retrospective Analysis.
Shamanna Paramesh et al. Diabetes therapy : research, treatment and education of diabetes and related disorders 2020 Sep
Developing a data-driven algorithm for guiding selection between cognitive behavioral therapy, fluoxetine, and combination treatment for adolescent depression.
Gunlicks-Stoessel Meredith et al. Translational psychiatry 2020 Sep 10(1) 321
A potential biomarker for treatment stratification in psychosis: evaluation of an [ 18 F] FDOPA PET imaging approach.
Veronese Mattia et al. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology 2020 Sep
Investigating the Attitudes of Adolescents and Young Adults Towards JUUL: Computational Study Using Twitter Data.
Benson Ryzen et al. JMIR public health and surveillance 2020 Sep 6(3) e19975
Early clinical and sociodemographic experience with patients hospitalized with COVID-19 at a large American healthcare system.
McCarthy Cian P et al. EClinicalMedicine 2020 Aug 100504
Data Integration Using Advances in Machine Learning in Drug Discovery and Molecular Biology.
Hudson Irene Lena et al. Methods in molecular biology (Clifton, N.J.) 2021 2190167-184
Application of systematic evidence mapping to assess the impact of new research when updating health reference values: A case example using acrolein.
Keshava Channa et al. Environment international 2020 Jul 143105956
Using machine learning to predict risk of incident opioid use disorder among fee-for-service Medicare beneficiaries: A prognostic study.
Lo-Ciganic Wei-Hsuan et al. PloS one 2020 15(7) e0235981
A false promise of COVID-19 'big' health data? Health data integrity and the ethics and realities of Australia's health information management practice.
Robinson Kerin et al. Health information management : journal of the Health Information Management Association of Australia 2020 Jul 1833358320941190
Shape-based Machine Learning Models for the potential Novel COVID-19 protease inhibitors assisted by Molecular Dynamics Simulation.
Khandelwal Ravina et al. Current topics in medicinal chemistry 2020 Jul
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