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Simultaneous Systematic Approach to Enable Predictive, Preventive and Personalized Medicine – Women Healthcare as a Case Study

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Part of the book series: Advances in Predictive, Preventive and Personalised Medicine ((APPPM,volume 1))

Abstract

A simultaneous systematic analysis approach is presented to enable a responsible, affordable Predicitve, Preventive, Personalized and Participatory Medicine (PPPPM) to ALL citizens. It is our contention that time has come and science and technology have reached the stage to relate to the individual functioning in the physical and mental surroundings, as one complex system. The targeted platform is envisioned to provide the broadest possible insights through an open, innovative systematic effort focusing on a specific phenomenon or disease. It will enable sharing concurrently all findings and combining all acquired knowledge, technologies and expertise. The leading professionals from various research disciplines (including life sciences, medicine, engineering, informatics, humanities, social sciences, environmental studies, etc.), will be integrated, utilizing our CHEST methodology (Converging Humanities, Education, Science and Technology) to share knowledge and tools while overcoming conceptual, lingual and other gaps. Furthermore, involving ethics professionals, for example, at the basic science level together with other experts from academia, government, regulatory agencies, industries and patients groups, bridging the different concepts and interests, will ensure the wellbeing and profitable outcome to ALL. To further present our approach, drug studies are suggested, focusing on four major disease classes: cancer, neurodegenerative diseases, metabolic disorders and infectious diseases. The matrix multi-layer approach will be applied comparing healthy individuals, diagnosed but not treated and treated patients. This review article focuses on women healthcare as a powerful imprinting group from conception throughout the individual’s life-span. Moreover, women were and are the driving force in applying healthcare at the personal, family and community levels. The envisioned possible outcome will provide a comprehensive insight on the individual functioning over time and place, enabling responsible, equal and personalized healthcare to ALL, yielding major economic and sociological impact and heralding new era of wellbeing to the global society.

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Abbreviations

AAAS:

American Association for the Advancement of Sciences

BRAF:

A mutation in the Serine/threonine-protein kinase B-RAF causing melanoma

BRCA:

Breast Cancer mutations

cffDNA:

Circulating free fetal DNA

CHEST:

Converging Humanities, Education, Science and Technology

CT:

Converging Technologies

CVS:

Chorionic Villi Sampling

ECRIN:

European Clinical Research Infrastructure Network

EGF:

Epidermal Growth Factor

HERb:

Herceptin Receptor

HPV:

Human Papiloma Virus

ICT:

Information and Communication Technology

IUGR:

Intra-Uterine Growth Restriction

MRC:

Medical Royal Council

NBIC:

Nanotechnology, Biology, Informatics and Cognition

NIH:

The National Institute of Health

PGD:

Pre-implantation Genetic Diagnosis

NSF:

National Science Foundation

PTSD:

Post Traumatic Stress Disorder

PPPPM:

Preventive, Predictive, Personalized and Participatory Medicine

R&D:

research and development

RHD:

Red blood cells Rhesus antigen type D

RHD :

The deletion mutation of the RHD

The “4C”:

Climate, Culture, Community, Computerizing

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Acknowledgements

Special thanks to Prof. Illana Gozes for the long term collaboration and contribution, Prof. Olga Golubnitschaja for the vision, encouragement and contribution, Prof. Maurizio Ferrari, Prof. Biana Vilentchouk Godin for the support and contribution and Dr. Zohar Ben Asher and Yoav Lavie for the editing comments.

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Correspondence to Mira Marcus-Kalish .

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Marcus-Kalish, M., Meiri, H. (2012). Simultaneous Systematic Approach to Enable Predictive, Preventive and Personalized Medicine – Women Healthcare as a Case Study. In: Costigliola, V. (eds) Healthcare Overview. Advances in Predictive, Preventive and Personalised Medicine, vol 1. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4602-2_17

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  • DOI: https://doi.org/10.1007/978-94-007-4602-2_17

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