Big data in biomedicine

FF Costa - Drug discovery today, 2014 - Elsevier
Highlights•Big data has affected several sectors including biomedicine, life sciences and
scientific research.•Genetics and genomics information are key enablers for predictive and …

Digital twins: from personalised medicine to precision public health

MN Kamel Boulos, P Zhang - Journal of personalized medicine, 2021 - mdpi.com
A digital twin is a virtual model of a physical entity, with dynamic, bi-directional links between
the physical entity and its corresponding twin in the digital domain. Digital twins are …

A longitudinal big data approach for precision health

SM Schüssler-Fiorenza Rose, K Contrepois… - Nature medicine, 2019 - nature.com
Precision health relies on the ability to assess disease risk at an individual level, detect early
preclinical conditions and initiate preventive strategies. Recent technological advances in …

Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine

Z Ahmed, K Mohamed, S Zeeshan, XQ Dong - Database, 2020 - academic.oup.com
Precision medicine is one of the recent and powerful developments in medical care, which
has the potential to improve the traditional symptom-driven practice of medicine, allowing …

Methodological challenges and analytic opportunities for modeling and interpreting Big Healthcare Data

ID Dinov - Gigascience, 2016 - academic.oup.com
Managing, processing and understanding big healthcare data is challenging, costly and
demanding. Without a robust fundamental theory for representation, analysis and inference …

Putting the data before the algorithm in big data addressing personalized healthcare

EM Cahan, T Hernandez-Boussard… - NPJ Digital …, 2019 - nature.com
Technologies leveraging big data, including predictive algorithms and machine learning, are
playing an increasingly important role in the delivery of healthcare. However, evidence …

Epigenetics analysis and integrated analysis of multiomics data, including epigenetic data, using artificial intelligence in the era of precision medicine

R Hamamoto, M Komatsu, K Takasawa, K Asada… - Biomolecules, 2019 - mdpi.com
To clarify the mechanisms of diseases, such as cancer, studies analyzing genetic mutations
have been actively conducted for a long time, and a large number of achievements have …

AI Integration in Precision Health-Advancements, Challenges, and Future Prospects

M Raparthi - Asian Journal of Multidisciplinary Research & Review, 2020 - hcommons.org
Precision health, characterized by personalized healthcare strategies tailored to individual
characteristics, has witnessed a transformative impact from AI integration. This paper …