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Precision Health Database


Genomics & Health Impact Scan Database|Search|PHGKB

Last data update: Mar 31, 2023. (Total: 59042 Documents since 2012)
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Proteomic profiling of colorectal adenomas identifies a predictive risk signature for development of metachronous advanced colorectal neoplasia.
Jacob Mathias Bech et al. Gastroenterology 2023
Multiomic signatures of body mass index identify heterogeneous health phenotypes and responses to a lifestyle intervention.
Kengo Watanabe et al. Nature medicine 2023
Predicting Pain in People With Sickle Cell Disease in the Day Hospital Using the Commercial Wearable Apple Watch: Feasibility Study.
Rebecca Sofia Stojancic et al. JMIR formative research 2023 7e45355
Identification of gene profiles related to the development of oral cancer using a deep learning technique.
Leili Tapak et al. BMC medical genomics 2023 16(1) 35
Circulating tumor DNA reveals complex biological features with clinical relevance in metastatic breast cancer.
Aleix Prat et al. Nature communications 2023 14(1) 1157
Deafness gene screening based on a multilevel cascaded BPNN model.
Xiao Liu et al. BMC bioinformatics 2023 24(1) 56
Ethical layering in AI-driven polygenic risk scores-New complexities, new challenges.
Marie-Christine Fritzsche et al. Frontiers in genetics 2023 141098439
Machine Learning-Based Integration of Metabolomics Characterisation Predicts Progression of Myopic Retinopathy in Children and Adolescents.
Xiao-Wen Hou et al. Metabolites 2023 13(2)
External validity of machine learning-based prognostic scores for cystic fibrosis: A retrospective study using the UK and Canadian registries.
Yuchao Qin et al. PLOS digital health 2023 2(1) e0000179
Investigating genes associated with heart failure, atrial fibrillation, and other cardiovascular diseases, and predicting disease using machine learning techniques for translational research and precision medicine.
Vignesh Venkat et al. Genomics 2023 110584
Prediction of Heart and Liver Iron Overload in β-Thalassemia Major Patients Using Machine Learning Methods.
Naeimehossadat Asmarian et al. Hemoglobin 2023 1-5
Type 2 Diabetes Mellitus and its comorbidity, Alzheimer's disease: Identifying critical microRNA using machine learning.
Hind Alamro et al. Frontiers in endocrinology 2023 131084656
Real-world data to build explainable trustworthy artificial intelligence models for prediction of immunotherapy efficacy in NSCLC patients.
Arsela Prelaj et al. Frontiers in oncology 2023 121078822
Opportunities and Challenges with Artificial Intelligence in Genomics.
Danielle E Kurant et al. Clinics in laboratory medicine 2023 43(1) 87-97
DNA methylation signature classification of rare disorders using publicly available methylation data.
Mathis Hildonen et al. Clinical genetics 2023
Validation of a targeted metabolomics panel for improved second-tier newborn screening.
Mak Justin et al. Journal of inherited metabolic disease 2023
Wearable full-body motion tracking of activities of daily living predicts disease trajectory in Duchenne muscular dystrophy.
Ricotti Valeria et al. Nature medicine 2023
Explainable machine learning aggregates polygenic risk scores and electronic health records for Alzheimer's disease prediction.
Gao Xiaoyi Raymond et al. Scientific reports 2023 13(1) 450
Application of machine learning in the prediction of deficient mismatch repair in patients with colorectal cancer based on routine preoperative characterization.
Xu Dong et al. Frontiers in oncology 2023 121049305
Prediction Performance of Feature Selectors and Classifiers on Highly Dimensional Transcriptomic Data for Prediction of Weight Loss in Filipino Americans at Risk for Type 2 Diabetes.
Chang Lisa et al. Biological research for nursing 2023 10998004221147513
Machine learning-based marker for coronary artery disease: derivation and validation in two longitudinal cohorts.
Forrest Iain S et al. Lancet (London, England) 2022
Association of PCSK9 Loss-of-Function Variants With Risk of Heart Failure.
Trudsø Linea C et al. JAMA cardiology 2022
Dietary metabolic signatures and cardiometabolic risk.
Shah Ravi V et al. European heart journal 2022
Prediction of type 2 diabetes using genome-wide polygenic risk score and metabolic profiles: A machine learning analysis of population-based 10-year prospective cohort study.
Hahn Seok-Ju et al. EBioMedicine 2022 86104383
Pharmacogenomics driven decision support prototype with machine learning: A framework for improving patient care.
Kidwai-Khan Farah et al. Frontiers in big data 2022 51059088
Metabolomic Selection in the Progression of Type 2 Diabetes Mellitus: A Genetic Algorithm Approach.
Morgan-Benita Jorge et al. Diagnostics (Basel, Switzerland) 2022 12(11)
Predicting the predisposition to colorectal cancer based on SNP profiles of immune phenotypes using supervised learning models.
Cakmak Ali et al. Medical & biological engineering & computing 2022
Combined electronic medical records and gene polymorphism characteristics to establish an anti-tuberculosis drug-induced hepatic injury (ATDH) prediction model and evaluate the prediction value.
Zhang Jingwei et al. Annals of translational medicine 2022 10(20) 1114
Artificial Intelligence for Prediction of Response to Cancer Immunotherapy.
Yang Yuhan et al. Seminars in cancer biology 2022
An immune dysfunction score for stratification of patients with acute infection based on whole-blood gene expression.
Cano-Gamez Eddie et al. Science translational medicine 2022 14(669) eabq4433
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