Innovations in Genomics and Big Data Analytics for Personalized Medicine and Health Care: A Review
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Title
Innovations in Genomics and Big Data Analytics for Personalized Medicine and Health Care: A Review
Authors
Keywords
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Journal
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
Volume 23, Issue 9, Pages 4645
Publisher
MDPI AG
Online
2022-04-23
DOI
10.3390/ijms23094645
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Note: Only part of the references are listed.- Computational Models for Clinical Applications in Personalized Medicine—Guidelines and Recommendations for Data Integration and Model Validation
- (2022) Catherine Bjerre Collin et al. Journal of Personalized Medicine
- Scientific and regulatory evaluation of mechanistic in silico drug and disease models in drug development: Building model credibility
- (2021) Flora T. Musuamba et al. CPT-Pharmacometrics & Systems Pharmacology
- Temporal Trends in Critical Care Outcomes in United States Minority Serving Hospitals
- (2020) John Danziger et al. AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE
- Machine learning in infection management using routine electronic health records: tools, techniques, and reporting of future technologies
- (2020) Christian F. Luz et al. CLINICAL MICROBIOLOGY AND INFECTION
- Big data in digital healthcare: lessons learnt and recommendations for general practice
- (2020) Raag Agrawal et al. HEREDITY
- Real-life clinical data mining: generating hypotheses for evidence-based medicine
- (2020) Jean-Emmanuel Bibault Annals of Translational Medicine
- Robust pathway sampling in phenotype prediction. Application to triple negative breast cancer
- (2020) Ana Cernea et al. BMC BIOINFORMATICS
- Applications of personalised signalling network models in precision oncology
- (2020) Jordan F. Hastings et al. PHARMACOLOGY & THERAPEUTICS
- Machine learning and clinical epigenetics: a review of challenges for diagnosis and classification
- (2020) S. Rauschert et al. Clinical Epigenetics
- Artificial intelligence powered statistical genetics in biobanks
- (2020) Akira Narita et al. JOURNAL OF HUMAN GENETICS
- Patient‐specific logic models of signaling pathways from screenings on cancer biopsies to prioritize personalized combination therapies
- (2020) Federica Eduati et al. Molecular Systems Biology
- Big data analytics for preventive medicine
- (2019) Muhammad Imran Razzak et al. NEURAL COMPUTING & APPLICATIONS
- Medicina de precisão/medicina personalizada: análise crítica dos movimentos de transformação da biomedicina no início do século XXI
- (2019) Jorge Alberto Bernstein Iriart Cadernos de Saude Publica
- Using artificial intelligence methods to speed up drug discovery
- (2019) Óscar Álvarez-Machancoses et al. Expert Opinion on Drug Discovery
- Hidden big data analytics issues in the healthcare industry
- (2019) Kenneth David Strang et al. Health Informatics Journal
- Discovery of food identity markers by metabolomics and machine learning technology
- (2019) Alexander Erban et al. Scientific Reports
- Big data analytics for personalized medicine
- (2019) Davide Cirillo et al. CURRENT OPINION IN BIOTECHNOLOGY
- Machine learning predicts putative haematopoietic stem cells within large single-cell transcriptomics datasets
- (2019) Fiona K. Hamey et al. EXPERIMENTAL HEMATOLOGY
- Robust Sampling of Defective Pathways in Multiple Myeloma
- (2019) Juan Luis Fernández-Martínez et al. INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Prognostic networks for unraveling the biological mechanisms of Sarcopenia
- (2019) Ana Cernea et al. MECHANISMS OF AGEING AND DEVELOPMENT
- Benefits and challenges of Big Data in healthcare: an overview of the European initiatives
- (2019) Roberta Pastorino et al. EUROPEAN JOURNAL OF PUBLIC HEALTH
- BioModels—15 years of sharing computational models in life science
- (2019) Rahuman S Malik-Sheriff et al. NUCLEIC ACIDS RESEARCH
- Analysis of defective pathways and drug repositioning in Multiple Sclerosis via machine learning approaches
- (2019) Enrique J. deAndrés-Galiana et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Robust Prediction of Single and Multiple Point Protein Mutations Stability Changes
- (2019) Óscar Álvarez-Machancoses et al. Biomolecules
- Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
- (2019) Alejandro Barredo Arrieta et al. Information Fusion
- Next-Generation Machine Learning for Biological Networks
- (2018) Diogo M. Camacho et al. CELL
- Making new genetic diagnoses with old data: iterative reanalysis and reporting from genome-wide data in 1,133 families with developmental disorders
- (2018) Caroline F Wright et al. GENETICS IN MEDICINE
- From hype to reality: data science enabling personalized medicine
- (2018) Holger Fröhlich et al. BMC Medicine
- The exploration of novel Alzheimer’s therapeutic agents from the pool of FDA approved medicines using drug repositioning, enzyme inhibition and kinetic mechanism approaches
- (2018) Mubashir Hassan et al. BIOMEDICINE & PHARMACOTHERAPY
- Using Big Data to Discover Diagnostics and Therapeutics for Gastrointestinal and Liver Diseases
- (2017) Benjamin Wooden et al. GASTROENTEROLOGY
- Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
- (2017) Babak Ehteshami Bejnordi et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Automating drug discovery
- (2017) Gisbert Schneider NATURE REVIEWS DRUG DISCOVERY
- A pathology atlas of the human cancer transcriptome
- (2017) Mathias Uhlen et al. SCIENCE
- Design and Implementation of a Telepediatric Primary-Level and Low-Cost System to Reduce Unnecessary Patient Transfers
- (2017) Christian Cifuentes et al. Telemedicine and e-Health
- Design and Implementation of a Telepediatric Primary-Level and Low-Cost System to Reduce Unnecessary Patient Transfers
- (2017) Christian Cifuentes et al. Telemedicine and e-Health
- Genomic risk prediction of aromatase inhibitor-related arthralgia in patients with breast cancer using a novel machine-learning algorithm
- (2017) Raquel E. Reinbolt et al. Cancer Medicine
- A computational algorithm for personalized medicine in schizophrenia
- (2017) Beom S. Lee et al. SCHIZOPHRENIA RESEARCH
- MetaFast: fast reference-free graph-based comparison of shotgun metagenomic data
- (2016) Vladimir I. Ulyantsev et al. BIOINFORMATICS
- Novel Hybrid Phenotype Revealed in Small Cell Lung Cancer by a Transcription Factor Network Model That Can Explain Tumor Heterogeneity
- (2016) Akshata R. Udyavar et al. CANCER RESEARCH
- Predictive Diagnostic Pathology in the Target Therapy Era in Breast Cancer
- (2016) Caterina Marchio et al. CURRENT DRUG TARGETS
- Systematic reanalysis of clinical exome data yields additional diagnoses: implications for providers
- (2016) Aaron M. Wenger et al. GENETICS IN MEDICINE
- Metformin pharmacogenomics: a genome-wide association study to identify genetic and epigenetic biomarkers involved in metformin anticancer response using human lymphoblastoid cell lines
- (2016) Nifang Niu et al. HUMAN MOLECULAR GENETICS
- Design of Biomedical Robots for Phenotype Prediction Problems
- (2016) Enrique J. deAndrés-Galiana et al. JOURNAL OF COMPUTATIONAL BIOLOGY
- Applications of Deep Learning in Biomedicine
- (2016) Polina Mamoshina et al. MOLECULAR PHARMACEUTICS
- Analysis of protein-coding genetic variation in 60,706 humans
- (2016) Monkol Lek et al. NATURE
- Parallel single-cell sequencing links transcriptional and epigenetic heterogeneity
- (2016) Christof Angermueller et al. NATURE METHODS
- Towards precision medicine
- (2016) Euan A. Ashley NATURE REVIEWS GENETICS
- 70-Gene Signature as an Aid to Treatment Decisions in Early-Stage Breast Cancer
- (2016) Fatima Cardoso et al. NEW ENGLAND JOURNAL OF MEDICINE
- A federated ecosystem for sharing genomic, clinical data
- (2016) SCIENCE
- Nutritionists’ Health Study cohort: a web-based approach of life events, habits and health outcomes
- (2016) Luciana Gavilan Dias Folchetti et al. BMJ Open
- Reconciling evidence-based medicine and precision medicine in the era of big data: challenges and opportunities
- (2016) Jacques S. Beckmann et al. Genome Medicine
- Making sense of big data in health research: Towards an EU action plan
- (2016) Charles Auffray et al. Genome Medicine
- On the prediction of Hodgkin lymphoma treatment response
- (2015) E. J. deAndrés-Galiana et al. Clinical & Translational Oncology
- Genomics innovation: transforming healthcare, business, and the global economy
- (2015) Gerardo Jimenez-Sanchez GENOME
- Special issue on Security, Privacy and Trust in network-based Big Data
- (2015) Hua Wang et al. INFORMATION SCIENCES
- Machine learning applications in genetics and genomics
- (2015) Maxwell W. Libbrecht et al. NATURE REVIEWS GENETICS
- Methods of integrating data to uncover genotype–phenotype interactions
- (2015) Marylyn D. Ritchie et al. NATURE REVIEWS GENETICS
- Machine learning: Trends, perspectives, and prospects
- (2015) M. I. Jordan et al. SCIENCE
- Cancer modeling and network biology: Accelerating toward personalized medicine
- (2015) Ali Masoudi-Nejad et al. SEMINARS IN CANCER BIOLOGY
- Big Data: Astronomical or Genomical?
- (2015) Zachary D. Stephens et al. PLOS BIOLOGY
- Big Data Analytics in Healthcare
- (2015) Ashwin Belle et al. Biomed Research International
- Atlas of Cancer Signalling Network: a systems biology resource for integrative analysis of cancer data with Google Maps
- (2015) I Kuperstein et al. Oncogenesis
- Big Data for Precision Medicine
- (2015) Daniel Richard Leff et al. Engineering
- Genetic and epigenetic regulation of gene expression in fetal and adult human livers
- (2014) Marc Bonder et al. BMC GENOMICS
- Big Data In Health Care: Using Analytics To Identify And Manage High-Risk And High-Cost Patients
- (2014) David W. Bates et al. HEALTH AFFAIRS
- The True Cost of Mobility?
- (2014) Forrest Shull IEEE SOFTWARE
- Transmission protocol for secure big data in two-hop wireless networks with cooperative jamming
- (2014) Yulong Shen et al. INFORMATION SCIENCES
- The effect of noise and Tikhonov's regularization in inverse problems. Part I: The linear case
- (2014) J.L. Fernández-Martínez et al. JOURNAL OF APPLIED GEOPHYSICS
- The effect of noise and Tikhonov’s regularization in inverse problems. Part II: The nonlinear case
- (2014) J.L. Fernández-Martínez et al. JOURNAL OF APPLIED GEOPHYSICS
- Integrating Transcriptomics with Metabolic Modeling Predicts Biomarkers and Drug Targets for Alzheimer's Disease
- (2014) Shiri Stempler et al. PLoS One
- Challenges of Big Data analysis
- (2014) Jianqing Fan et al. National Science Review
- The Inevitable Application of Big Data to Health Care
- (2013) Travis B. Murdoch et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- From Bayes to Tarantola: New insights to understand uncertainty in inverse problems
- (2013) J.L. Fernández-Martínez et al. JOURNAL OF APPLIED GEOPHYSICS
- Integrating Pathways of Parkinson's Disease in a Molecular Interaction Map
- (2013) Kazuhiro A. Fujita et al. MOLECULAR NEUROBIOLOGY
- Integration of clinical data with a genome-scale metabolic model of the human adipocyte
- (2013) A. Mardinoglu et al. Molecular Systems Biology
- The Impact of Pharmacogenomics Research on Drug Development
- (2012) Shyh-Yuh Liou et al. Drug Metabolism and Pharmacokinetics
- On the topography of the cost functional in linear and nonlinear inverse problems
- (2012) Juan L. Fernández Martínez et al. GEOPHYSICS
- Boolean modeling in systems biology: an overview of methodology and applications
- (2012) Rui-Sheng Wang et al. PHYSICAL BIOLOGY
- Personalized Medicine: Progress and Promise
- (2011) Isaac S. Chan et al. Annual Review of Genomics and Human Genetics
- Predictive data mining in clinical medicine: a focus on selected methods and applications
- (2011) Riccardo Bellazzi et al. Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
- Developing Structure−Activity Relationships for the Prediction of Hepatotoxicity
- (2010) Nigel Greene et al. CHEMICAL RESEARCH IN TOXICOLOGY
- A protocol for generating a high-quality genome-scale metabolic reconstruction
- (2010) Ines Thiele et al. Nature Protocols
- Promise and challenges in drug discovery and development of hybrid anticancer drugs
- (2009) Lalji K Gediya et al. Expert Opinion on Drug Discovery
- Genomic and personalized medicine: foundations and applications
- (2009) Geoffrey S. Ginsburg et al. Translational Research
- Physiology-Based Simulations of a Pathological Condition
- (2008) Andrea N Edginton et al. CLINICAL PHARMACOKINETICS
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