scholarly journals Current Challenges for Big Omics Data Analytics and Precision Medicine

2018 ◽  
Vol 59 ◽  
pp. 1-3 ◽  
Author(s):  
Elmer Andrés Fernandez ◽  
Federico Marcelo Casares
Keyword(s):  
Precision Medicine ◽  
Data Analytics ◽  
Omics Data

Machine learning for precision medicine forecasts and challenges when incorporating non omics and omics data

2021 ◽  
Vol 15 (1) ◽  
pp. 69-85
Author(s):  
J. Susymary ◽  
P. Deepalakshmi
Keyword(s):  
Machine Learning ◽  
Precision Medicine ◽  
Data Analytics ◽  
Forecast Model ◽  
Biological Knowledge ◽  
Omics Data ◽  
Future Directions ◽  
Hard Data ◽  
Data Limitations ◽  
Future Project

Precision Medicine has emerged as a preventive, diagnostic and treatment tool to approach human diseases in a personalized manner. Since precision medicine incorporates omics data and knowledge in personal health records, people who live in industrially polluted areas have an advantage in the medicinal field. Integration of non-omics data and related biological knowledge in term omics data is a reality. The heterogenic characteristics of non-omics data and high dimensional omics data makes the integration challengeable. Hard data analytics problems create better opportunities in analytics. This review cut across the boundaries of machine learning models for the eventual development of a successful precision medicine forecast model, different strategies for the integration of non-omics data and omics data, limitations and challenges in data integration, and future directions for the precision medicine forecasts. The literature also discusses non-omics data, diseases associated with air pollutants, and omics data. This information gives insight to the integrated data analytics and their application in future project implications. It intends to motivate researchers and precision medicine forecast model developers in a global integrative analytical approach.

scholarly journals Pharmaco-omics data sheds light on therapy-oriented prospects of precision medicine

EBioMedicine ◽  
2021 ◽  
Vol 70 ◽  
pp. 103493
Author(s):  
Jie Zheng ◽  
Haiyun Wang
Keyword(s):  
Precision Medicine ◽  
Omics Data

Data analytics for precision medicine

2019 ◽  
pp. 25-33
Author(s):  
Timothy E. Sweeney ◽  
Purvesh Khatri
Keyword(s):  
Precision Medicine ◽  
Data Analytics

MOBCdb: a comprehensive database integrating multi-omics data on breast cancer for precision medicine

2018 ◽  
Vol 169 (3) ◽  
pp. 625-632 ◽  
Author(s):  
Bingbing Xie ◽  
Zifeng Yuan ◽  
Yadong Yang ◽  
Zhidan Sun ◽  
Shuigeng Zhou ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Precision Medicine ◽  
Omics Data ◽  
Comprehensive Database

scholarly journals Radiogenomics for Precision Medicine With a Big Data Analytics Perspective

2019 ◽  
Vol 23 (5) ◽  
pp. 2063-2079 ◽  
Author(s):  
Andreas S. Panayides ◽  
Marios S. Pattichis ◽  
Stephanos Leandrou ◽  
Costas Pitris ◽  
Anastasia Constantinidou ◽  
...  
Keyword(s):  
Big Data ◽  
Precision Medicine ◽  
Data Analytics ◽  
Big Data Analytics

scholarly journals Precision Neurosurgery: A Path Forward

2021 ◽  
Vol 11 (10) ◽  
pp. 1019
Author(s):  
Vianney Gilard ◽  
Stéphane Derrey ◽  
Stéphane Marret ◽  
Soumeya Bekri ◽  
Abdellah Tebani
Keyword(s):  
Precision Medicine ◽  
Data Analytics ◽  
Historical Perspective ◽  
Molecular Profiling ◽  
Data Driven ◽  
Medical Community ◽  
Technological Advances ◽  
Conceptual Shift ◽  
The Impact ◽  
Patient Centric

Since the inception of their profession, neurosurgeons have defined themselves as physicians with a surgical practice. Throughout time, neurosurgery has always taken advantage of technological advances to provide better and safer care for patients. In the ongoing precision medicine surge that drives patient-centric healthcare, neurosurgery strives to effectively embrace the era of data-driven medicine. Neuro-oncology best illustrates this convergence between surgery and precision medicine with the advent of molecular profiling, imaging and data analytics. This convenient convergence paves the way for new preventive, diagnostic, prognostic and targeted therapeutic perspectives. The prominent advances in healthcare and big data forcefully challenge the medical community to deeply rethink current and future medical practice. This work provides a historical perspective on neurosurgery. It also discusses the impact of the conceptual shift of precision medicine on neurosurgery through the lens of neuro-oncology.

Precision Medicine Approach in Prostate Cancer

2020 ◽  
Vol 26 (31) ◽  
pp. 3783-3798
Author(s):  
Majid Assadi ◽  
Narges Jokar ◽  
Mojtaba Ghasemi ◽  
Iraj Nabipour ◽  
Ali Gholamrezanezhad ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Precision Medicine ◽  
Metabolic Pathways ◽  
Locally Advanced ◽  
Omics Data ◽  
Prostate Cancers ◽  
New Treatments ◽  
Treatment Procedures ◽  
The Impact

Prostate cancer is the most prevalent type of cancer and the second cause of death in men worldwide. Various diagnostic and treatment procedures are available for this type of malignancy, but High-grade or locally advanced prostate cancers showed the potential to develop to lethal phase that can be causing dead. Therefore, new approaches are needed to prolong patients’ survival and to improve their quality of life. Precision medicine is a novel emerging field that plays an essential role in identifying new sub-classifications of diseases and in providing guidance in treatment that is based on individual multi-omics data. Multi-omics approaches include the use of genomics, transcriptomics, proteomics, metabolomics, epigenomics and phenomics data to unravel the complexity of a disease-associated biological network, to predict prognostic biomarkers, and to identify new targeted drugs for individual cancer patients. We review the impact of multi-omics data in the framework of systems biology in the era of precision medicine, emphasising the combination of molecular imaging modalities with highthroughput techniques and the new treatments that target metabolic pathways involved in prostate cancer.

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