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The concept of personalised medicine in cancer therapy is becoming increasingly important. There already exist drugs administered specifically for patients with tumours presenting well-defined mutations. However, the field is still in its…

Biomolecules · Quantitative Biology 2024-08-26 Abbi Abdel-Rehim , Oghenejokpeme Orhobor , Gareth Griffiths , Larisa Soldatova , Ross D. King

In modern dynamic constantly developing society, more and more people suffer from chronic and serious diseases and doctors and patients need special and sophisticated medical and health support. Accordingly, prominent health stakeholders…

Computers and Society · Computer Science 2022-08-10 Mirjana Ivanovic , Serge Autexier , Miltiadis Kokkonidis

The emerging era of personalized medicine relies on medical decisions, practices, and products being tailored to the individual patient. Point-of-care systems, at the heart of this model, play two important roles. First, they are required…

Subcellular Processes · Quantitative Biology 2018-06-19 Ali Rohani

We propose to improve medical decision making and reduce global health care costs by employing a free Internet-based medical information system with two main target groups: practicing physicians and medical researchers. After acquiring…

Computers and Society · Computer Science 2008-10-14 Axel Boldt , Michael Janich

Precision Medicine (PM) is an emerging approach that appears with the impression of changing the existing paradigm of medical practice. Recent advances in technological innovations and genetics, and the growing availability of health data…

Computers and Society · Computer Science 2019-11-05 Muhammad Afzal , S. M. Riazul Islam , Maqbool Hussain , Sungyoung Lee

With the growing use of new technologies, healthcare is nowadays undergoing significant changes. Information-based medicine has to exploit medical decision-support systems and requires the analysis of various, heterogeneous data, such as…

Databases · Computer Science 2008-09-17 Jérôme Darmont , Emerson Olivier

The goal of personalized decision making is to map a unit's characteristics to an action tailored to maximize the expected outcome for that unit. Obtaining high-quality mappings of this type is the goal of the dynamic regime literature. In…

Machine Learning · Computer Science 2018-10-01 Razieh Nabi , Phyllis Kanki , Ilya Shpitser

Disease prediction holds considerable significance in modern healthcare, because of its crucial role in facilitating early intervention and implementing effective prevention measures. However, most recent disease prediction approaches…

Computation and Language · Computer Science 2024-05-07 Zhixiang Su , Yinan Zhang , Jiazheng Jing , Jie Xiao , Zhiqi Shen

Precision medicine seeks to discover an optimal personalized treatment plan and thereby provide informed and principled decision support, based on the characteristics of individual patients. With recent advancements in medical imaging, it…

Methodology · Statistics 2023-04-26 Xinyi Li , Michael R. Kosorok

New technologies have enabled the investigation of biology and human health at an unprecedented scale and in multiple dimensions. These dimensions include a myriad of properties describing genome, epigenome, transcriptome, microbiome,…

Quantitative Methods · Quantitative Biology 2018-10-22 Marinka Zitnik , Francis Nguyen , Bo Wang , Jure Leskovec , Anna Goldenberg , Michael M. Hoffman

There is tremendous interest in precision medicine as a means to improve patient outcomes by tailoring treatment to individual characteristics. An individualized treatment rule formalizes precision medicine as a map from patient information…

Machine Learning · Statistics 2020-05-28 Daniel J. Luckett , Eric B. Laber , Michael R. Kosorok

Doctors use statistics to advance medical knowledge; we use a medical analogy to introduce statistical inference "from scratch" and to highlight an improvement. Your doctor, perhaps implicitly, predicts the effectiveness of a treatment for…

Methodology · Statistics 2015-11-29 Keli Liu , Xiao-Li Meng

Precision medicine is an approach for disease treatment that defines treatment strategies based on the individual characteristics of the patients. Motivated by an open problem in cancer genomics, we develop a novel model that flexibly…

Methodology · Statistics 2023-09-04 Matteo Pedone , Raffaele Argiento , Francesco C. Stingo

The paper describes how the new technologies and data they generate are transforming medicine. It stresses the uniqueness of heterogeneous medical data and the ways of dealing with them. It lists different sources that generate big medical…

Computers and Society · Computer Science 2019-05-23 Krzysztof J. Cios , Bartosz Krawczyk , Jacquelyne Cios , Kevin J. Staley

Scientific investigations that incorporate next generation sequencing involve analyses of high-dimensional data where the need to organize, collate and interpret the outcomes are pressingly important. Currently, data can be collected at the…

Machine Learning · Statistics 2016-08-01 Stephen T Rush , Christine H Lee , Washington Mio , Peter T Kim

In its broadest definition, systems biology is the application of a `systems' way of thinking about and doing cell biology. By implication, this also invites us to consider a systems approach in the context of medicine and the treatment of…

Tissues and Organs · Quantitative Biology 2007-05-23 Peter Wellstead , Rick Middleton , Olaf Wolkenhauer

Medical images constitute a source of information essential for disease diagnosis, treatment and follow-up. In addition, due to its patient-specific nature, imaging information represents a critical component required for advancing…

Computer Vision and Pattern Recognition · Computer Science 2016-06-10 Dorin Comaniciu , Klaus Engel , Bogdan Georgescu , Tommaso Mansi

This article explores the critical role of statistical analysis in precision medicine. It discusses how personalized healthcare is enhanced by statistical methods that interpret complex, multidimensional datasets, focusing on predictive…

Machine Learning · Computer Science 2024-01-17 Xiaofei Chen

Modeling disease progression through multiple stages is critical for clinical decision-making for chronic diseases, e.g., cancer, diabetes, chronic kidney diseases, and so on. Existing approaches often model the disease progression as a…

Machine Learning · Computer Science 2025-03-04 Haoyu Yang , Sanjoy Dey , Pablo Meyer

Personalized oncology aims to tailor treatment strategies to the unique molecular and clinical profiles of individual patients, moving beyond the traditional paradigm of treating the disease not the patient. Achieving this vision requires…

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