ISSN: 2573-4555

Journal of Traditional Medicine & Clinical Naturopathy
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  • Mini Review   
  • J Tradit Med Clin Natur 2022, Vol 11(7): 336
  • DOI: 10.4172/2573-4555.1000336

Ayurveda in Cancer Genome Profiling for Patients

Helen Davies*
Department of oncology, MRC Research Centre, University of Cambridge, UK
*Corresponding Author : Helen Davies, Department of oncology, MRC Research Centre, University of Cambridge, UK, Email: helendavies@edu.uk

Received Date: Jul 01, 2022 / Accepted Date: Jun 22, 2022 / Published Date: Jul 29, 2022

Abstract

Technological advances in the ability to read the human genome have accelerated the speed of sequencing, similar that moment we can perform whole genome sequencing (WGS) in one day. Until lately, genomic studies have largely been limited to seeking new scientific discoveries. The operation of new perceptivity gained through cancer WGS into the clinical sphere, have been relatively limited. Looking ahead, a vast amount of data can be generated by genomic studies. Of note, excellent organisation of genomic and clinical data permits the operation of machinelearning methods which can lead to the development of clinical algorithms that could help unborn clinicians and genomicists in the analysis and interpretation of individual cancer genomes. Then, we describe what can be gleaned from holistic whole cancer genome profiling and argue that we must make the structure and educational frameworks to support the modern clinical genomicist to prepare for a future where WGS will be the norm.

Citation: Davies H (2022) Ayurveda in Cancer Genome Profiling for Patients. J Tradit Med Clin Natur, 11: 336. Doi: 10.4172/2573-4555.1000336

Copyright: © 2022 Davies H. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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