Authors :
Dr. Murthysetty Likhitha; Ms. Seerla Surarchita; Dr. Sridhar Yeshamaina
Volume/Issue :
Volume 9 - 2024, Issue 9 - September
Google Scholar :
https://tinyurl.com/277zd6x8
Scribd :
https://tinyurl.com/22mv5688
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24SEP1485
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Computerized disruption in the drug industry
refers to a revolutionary shift in customary processes in
drug discovery, assembly, and patient consideration,
spurred by emerging technologies. The unification of
artificial intelligence (AI) and machine learning (ML)
accelerates the development of new drugs by analysing
large datasets to identify potential rivals for existing
medications and predict patient responses. Digital
therapies (DTx) are evidence-based programming
interventions that improve medication adherence and
chronic illness management while providing accessible
and personalized medical service arrangements.
Cloud computing and enormous information
examination smooth out information reconciliation and
investigation, empowering more productive innovative
work processes. These innovations support the
improvement of customized medication by utilizing
genomic and clinical information, cultivating the making
of designated treatments. The Internet of Things (IoT)
upgrades the drug production network by checking
ecological circumstances and guaranteeing the
respectability of medication conveyance, while blockchain
innovation guarantees information trustworthiness and
straightforwardness, especially in clinical preliminaries
and production network the executives.
Regulatory Technology (RegTech) computerizes
consistence processes, decreasing expenses and
guaranteeing adherence to administrative norms.
Furthermore, additive manufacturing (3D printing)
speeds up drug prototyping and the creation of
customized measurements structures, while
supportability drives driven by advanced development
lessen the natural effect of drug tasks.
As computerized advances keep on developing, they
offer uncommon chances to further develop effectiveness,
lessen expenses, and improve patient results in the drug
area. The fruitful coordination of these advancements
presents difficulties however vows to alter the business by
making medical services more customized, productive,
and available.
Keywords :
Artificial Intelligence, Digital Therapeutics, The internet of things (IoT), RegulatoryTech (RegTech), 3D Printing.
References :
- Sharma A, Harrington RA, McClellan MB. Digital health innovation: A payer perspective on promises and challenges. Health Aff (Millwood). 2018;37(2):233-241. doi:10.1377/hlthaff.2017.1113.
- Topol EJ. High-performance medicine: The convergence of human and artificial intelligence. Nat Med. 2019;25(1):44-56. doi:10.1038/s41591-018-0300-7.
- Iyengar S, Sweeney L, Monteith S. Clinical trials and the digital health landscape. Digit Med. 2020;3:40. doi:10.1038/s41746-020-0237-0.
- Wang L, Alexander CA. Big data in medical applications and health care. J Comput Sci Syst Biol. 2020;13(2):41-50. doi:10.4172/jcsb.1000310.
- Hughes B, Hughes A, Wareham J. Digital transformation of the pharmaceutical industry: Opportunities and challenges. Deloitte Insights. 2021. Available from: https://www2.deloitte.com/insights/us/en/industry/life-sciences/digital-transformation-pharma.html.
- Karimi M, Fakhri A, Shamsaei N, Ahmadi H. The impact of blockchain technology on the pharmaceutical supply chain: A case study. J Pharm Sci Innov. 2021;10(3):133-145. doi:10.7897/2277-4572.100329.
- Agrawal, P. (2016). Digital Solutions in Pharmaceuticals and Healthcare by MedHawker. Retrieved from http://www.slideshare. net/PankajAgrawal45/digital-solutions-in-pharmaceuticals-andhealthcare-by-medhawker.
- Sultana, A., Maseera, R., Rahamanulla, A. et al. Emerging of artificial intelligence and technology in pharmaceuticals: review. Futur J Pharm Sci 9, 65 (2023). https://doi.org/10.1186/s43094-023-00517-w
- Ahuja AS (2019) The impact of artifcial intelligence in medicine on the future role of the physician. PeerJ 7:e7702
- Colombo S (2020) Applications of artifcial intelligence in drug delivery and pharmaceutical development. In: Artifcial intelligence in healthcare, pp 85–116.
Computerized disruption in the drug industry
refers to a revolutionary shift in customary processes in
drug discovery, assembly, and patient consideration,
spurred by emerging technologies. The unification of
artificial intelligence (AI) and machine learning (ML)
accelerates the development of new drugs by analysing
large datasets to identify potential rivals for existing
medications and predict patient responses. Digital
therapies (DTx) are evidence-based programming
interventions that improve medication adherence and
chronic illness management while providing accessible
and personalized medical service arrangements.
Cloud computing and enormous information
examination smooth out information reconciliation and
investigation, empowering more productive innovative
work processes. These innovations support the
improvement of customized medication by utilizing
genomic and clinical information, cultivating the making
of designated treatments. The Internet of Things (IoT)
upgrades the drug production network by checking
ecological circumstances and guaranteeing the
respectability of medication conveyance, while blockchain
innovation guarantees information trustworthiness and
straightforwardness, especially in clinical preliminaries
and production network the executives.
Regulatory Technology (RegTech) computerizes
consistence processes, decreasing expenses and
guaranteeing adherence to administrative norms.
Furthermore, additive manufacturing (3D printing)
speeds up drug prototyping and the creation of
customized measurements structures, while
supportability drives driven by advanced development
lessen the natural effect of drug tasks.
As computerized advances keep on developing, they
offer uncommon chances to further develop effectiveness,
lessen expenses, and improve patient results in the drug
area. The fruitful coordination of these advancements
presents difficulties however vows to alter the business by
making medical services more customized, productive,
and available.
Keywords :
Artificial Intelligence, Digital Therapeutics, The internet of things (IoT), RegulatoryTech (RegTech), 3D Printing.