The Experts below are selected from a list of 3051 Experts worldwide ranked by ideXlab platform

Leroy Hood - One of the best experts on this subject based on the ideXlab platform.

  • Participatory Medicine: a driving force for revolutionizing healthcare.
    Genome Medicine, 2013
    Co-Authors: Leroy Hood, Charles Auffray
    Abstract:

    Healthcare is undergoing a profound revolution as a consequence of three contemporary thrusts: systems Medicine [1-4], big data and patient involvement in their own health through social networks. This convergence is leading to a Medicine that is predictive, preventive, personalized and Participatory (P4) [4-7]. The first three Ps, predictive, preventive and personalized, were delineated in the early 2000s [1,2], whereas the fourth P, Participatory, was added later. To achieve a Participatory healthcare system, major technical and societal challenges will need to be overcome, and this will require close integration with systems Medicine and big data. Before commenting further on Participatory Medicine, let us first delineate the essence of systems Medicine and big data and their implications for P4 Medicine. Systems Medicine, the application of systems biology approaches to disease [3,4,6,8,9], is already changing how healthcare is practiced (Table 1). We predict that in 5 to 10 years each patient will be surrounded by a virtual cloud of billions of data points - molecular, clinical chemistries, cellular, organ, phenotypic, imaging, social networks, and so on. We also predict that we will have the analytical tools to reduce this big data cloud to simple models that will guide improvements in health and minimize disease. This requires addressing two grand challenges: the signal-to-noise issues intrinsic to big data and integration of multi-scale data into predictive models. Table 1 How systems Medicine is transforming healthcare In addition, for each individual patient we foresee that we will be able to integrate an individual’s genetic, molecular, cellular, organ and social networks into an overall 'network of networks’ [10]. Disease leads to the perturbation of the network of networks and this alters the information the network manages. The availability of a personal data cloud will allow one to characterize an individual’s network of networks in its normal or disease-perturbed states. This altered, disease-perturbed information will provide deep insights into disease mechanisms, new approaches to diagnostics and therapeutics, and a platform for Participatory Medicine.

  • predictive preventive personalized and Participatory Medicine back to the future
    Genome Medicine, 2010
    Co-Authors: Charles Auffray, Dominique Charron, Leroy Hood
    Abstract:

    The pioneering work of Jean Dausset on the HLA system established several principles that were later reflected in the Human Genome Project and contributed to the foundations of predictive, preventive, personalized and Participatory (P4) Medicine. To effectively develop systems Medicine, we should take advantage of the lessons of the HLA saga, emphasizing the importance of exploring a fascinating but mysterious biology, now using systems principles, pioneering new technology developments and creating shared biological and information resources.

  • Chapter 11 – Systems Biology and Systems Medicine
    Essentials of Genomic and Personalized Medicine, 2010
    Co-Authors: Nathan D. Price, Lucas B. Edelman, Inyoul Y. Lee, Hyuntae Yoo, Daehee Hwang, George A. Carlson, David J. Galas, James R. Heath, Leroy Hood
    Abstract:

    Publisher Summary A systems approach to Medicine argues that disease arises from disease-perturbed biological networks and the dynamically changing, altered patterns of gene expression controlled by these perturbed networks give rise to the disease manifestations. This chapter presents a systems view of biology and disease, and recent advances in state-of-the-art in vitro and in vivo diagnostics technologies. As these technologies mature, they will move towards a future of predictive, personalized, preventive, and Participatory Medicine. Two primary domains of biological information lend themselves readily to systems-level analysis: the static, digital information of the genome, and the dynamic information arising from environmental interactions with the subcellular, cellular, and tissue levels of organization. Digital genome information encodes two types of biological networks–protein interactions and gene regulatory networks. Protein networks transmit biological information for development, physiology, and metabolism. Other RNAs interacting with one another receive information from signal-transduction networks, integrate and modulate it, and convey the processed information to networks of genes or molecular machines that execute developmental and physiological functions.

Peter Mackinlay Yellowlees - One of the best experts on this subject based on the ideXlab platform.

  • managing psychiatrist patient relationships in the digital age a summary review of the impact of technology enabled care on clinical processes and rapport
    Current Psychiatry Reports, 2017
    Co-Authors: Michelle Burke Parish, Sarina Fazio, Steven Chan, Peter Mackinlay Yellowlees
    Abstract:

    Purpose of Review Participatory Medicine and the availability of commercial technologies have given patients more options to view and track their health information and to communicate with their providers. This shift in the clinical process may be of particular importance in mental healthcare where rapport plays a significant role in the therapeutic process.

  • The psychiatrist-patient relationship of the future: anytime, anywhere?
    Harvard Review of Psychiatry, 2010
    Co-Authors: Peter Mackinlay Yellowlees, Najia Nafiz
    Abstract:

    The core doctor-patient relationship is changing and becoming more fluid. Many factors are causing the changes, but they are being underpinned by the current technological revolution, which has spawned terms such as e-patients, health 2.0, Participatory Medicine, and virtual Medicine in cyberspace. The Internet is being used so creatively and commonly by both patients and doctors that it has become literally a "part" of the doctor-patient relationship. To explore how the psychiatrist-patient relationship is changing, five simple questions are examined: How are patient expectations and behaviors changing? Who is using the Internet for mental health care? What online mental health services are currently being offered? How are current and past models of the psychiatrist-patient relationship being affected by these changes? And what is the psychiatrist-patient relationship of the future likely to be? Psychiatrists working in this environment will need to make changes to their practices over time. It is likely that their relationships with patients will continuously change, gradually becoming more Participatory and ubiquitous, as care is provided both face-to-face and online-and literally anytime, anywhere.

Michael Snyder - One of the best experts on this subject based on the ideXlab platform.

G Marrocco - One of the best experts on this subject based on the ideXlab platform.

  • rfid technology for iot based personal healthcare in smart spaces
    IEEE Internet of Things Journal, 2014
    Co-Authors: S Amendola, Rossella Lodato, S Manzari, C Occhiuzzi, G Marrocco
    Abstract:

    The current evolution of the traditional medical model toward the Participatory Medicine can be boosted by the Internet of Things (IoT) paradigm involving sensors (environmental, wearable, and implanted) spread inside domestic environments with the purpose to monitor the user’s health and activate remote assistance. RF identification (RFID) technology is now mature to provide part of the IoT physical layer for the personal healthcare in smart environments through low-cost, energy-autonomous, and disposable sensors. It is here presented a survey on the state-of-the-art of RFID for application to bodycentric systems and for gathering information (temperature, humidity, and other gases) about the user’s living environment. Many available options are described up to the application level with some examples of RFID systems able to collect and process multichannel data about the human behavior in compliance with the power exposure and sanitary regulations. Open challenges and possible new research trends are finally discussed.

Guangzhong Yang - One of the best experts on this subject based on the ideXlab platform.

  • from wearable sensors to smart implants toward pervasive and personalized healthcare
    IEEE Transactions on Biomedical Engineering, 2015
    Co-Authors: Javier Andreuperez, Daniel Leff, H M D Ip, Guangzhong Yang
    Abstract:

    Objective: This paper discusses the evolution of pervasive healthcare from its inception for activity recognition using wearable sensors to the future of sensing implant deployment and data processing. Methods: We provide an overview of some of the past milestones and recent developments, categorized into different generations of pervasive sensing applications for health monitoring. This is followed by a review on recent technological advances that have allowed unobtrusive continuous sensing combined with diverse technologies to reshape the clinical workflow for both acute and chronic disease management. We discuss the opportunities of pervasive health monitoring through data linkages with other health informatics systems including the mining of health records, clinical trial databases, multiomics data integration, and social media. Conclusion: Technical advances have supported the evolution of the pervasive health paradigm toward preventative, predictive, personalized, and Participatory Medicine. Significance: The sensing technologies discussed in this paper and their future evolution will play a key role in realizing the goal of sustainable healthcare systems.