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Journal of Clinical and Experimental Toxicology | Volume: 2
December 03-04, 2018 | Dubai, UAE
International Conference on
6th International Conference on
Toxicology, Clinical Toxicology & Pharmacology
Recycling & Waste Management
Joint Event
&
Deep Learning technology in medical science
Kamal Kumar Sharma
Lovely Professional University, India
Health is a termused formental and physical well-being. Life-
style, geographical region, diet, physical activity determines
the quality of life. Disease is nothing but excessive growth or
decay of cells in the body that degrades themental and physical
health. Healthmonitoring is achallenging taskas it needs regular
check-up, in-depth analysis of reports, diagnosis and final drug
dispersal. History of medical treatment can significantly fast
track this process. Electronic health records canplay a significant
role in it. Pervasive sensors like wrist band can change the
way medical data is collected providing proactive, predictive
& participatory health. The updated data can be transmitted
to the experts for diagnosis and prescription. Not only this,
medical imaging can be used for drug discovery, drug amount
dispersal, toxicology, precision medicine. Medical imaging has
emerged as a significant tool in the early diagnosis of disease
associated with different parts of the body hence improve the
drug delivery and care to the patient. Electronic Health Report
(EHR) can play significant role in it keeping track of medical
dosage. Combined effects of various factors like age, medical
history, allergy to certain drugs, geographical factor etc. can be
studied for better diagnosis and drug- dispersal. Drug approval
takes 15 years of testing and FDI approval. medical imaging can
fast track the process. Drug testing & validation from regulatory
body takes 15 years. The application of medical imaging in
pharmaceutical clinical trials involves its use to determine
disease predisposition; to identify likely responder patients; to
diagnose lesions and evaluate their severity; and to monitor
therapy effects and follow-up. Considerable emphasis has also
been placed on linking pre-clinical imaging and clinical data in
order to increase the success rate of clinical trials (1). Pre-clinical
imaging in appropriate disease animal models can contribute
to the identification of new imaging biomarkers, whereby
histological correlation can be obtained. It is anticipated that
greater use of imaging during pre-clinical stages will facilitate
better translation from animal models to human subjects.
Speaker Biography
Kamal Kumar Sharma is a technology veteran with 17+ years in academics and administration.
He is an Electronics and Communication Engineer and is passionate about competency
developments in these areas. He belongs to Haryana and working as Professor in Lovely
Professional University, Punjab.
e:
Kamal Kumar Sharma, Toxicology 2018 & Recycling 2018, Volume 2
DOI: 10.4066/2630-4570-C1-002