Editorial
Volume 7 Issue 8 - 2018
It‘s Elementary My Dear Watson: Cancer Counseling by Cognitive Computing; Do you Concur?
Shahid S Siddiqui1,2*, Fathy El-Fasakhany1, Sivakumar Loganathan2,3 and Ravi Salgia2,4*
1Department of Basic and Clinical Oral Sciences, College of Dentistry, and College of Medicine, Umm Al Qura University, Makkah, Saudi Arabia
2Department of Medicine, University of Chicago, Chicago, USA
3Department of Environmental Science, Periyar University, Tamil Nadu, India
4Department of Medical Oncology and Therapeutics Research, Duarte Road, Duarte, CA, USA
*Corresponding Author: Shahid S Siddiqui, Department of Basic and Clinical Oral Sciences, College of Dentistry, and College of Medicine, Umm Al Qura University, Makkah, Saudi Arabia.
Received: May 25, 2018; Published: July 04, 2018
Citation: Shahid S Siddiqui., et al. “It‘s Elementary My Dear Watson: Cancer Counseling by Cognitive Computing; Do you Concur?”. EC Pulmonology and Respiratory Medicine 7.8 (2018): 525-529.
Keywords: IBM’s Watson for Genomics; Lung Cancer; Cognitive Computing; Artificial Intelligence
Abbreviations
CAR-T: Chimeric Antigen Receptor-T cell; CRISPR: Clustered Repeated Interspersed Repeated sequences; FDA: Food and Drug Administration, USA; NGS: New Generation Sequencing; NPL: Natural Language Processing; NSCLC: Non-Small Cell Lung Cancer; PaaS: Platform as a Service Model; PM: Personal Medicine
Cancer Precisely
Cancer is a catastrophe for the patient and caregivers as it is complex and ranks among the top diseases globally with high morbidity. Many novel approaches (such as CAR-T immune therapy; CRISPR/Cas 9 driven gene editing; NGS screening, the new generation sequencing of genomic DNA etc.) are under trial to analyze and develop therapies for cancer. Nevertheless, huge gaps remain in finding the magic bullet or the perfect moonshot. What are the challenges in cancer diagnosis and therapeutics?
Copyright: © 2018 Shahid S Siddiqui., et al. 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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