Artifical Intelligence In Pharma Manufacturing: A Review

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dc.contributor.authorBOROLE, UNNATI. M.en_US
dc.contributor.authorNAYAN, N. KADUSKARen_US
dc.contributor.authorSHINDE, KARTIK. G.en_US
dc.date.accessioned2020-09-24T07:33:49Z
dc.date.available2020-09-24T07:33:49Z
dc.date.issued2020-09
dc.description.abstractIn the world of pharmaceuticals, there is a vital role for robotics to play in thecomplicated processes of research and development, production, and packaging. Justificationfor robots ranges from improved worker safety to improved quality. A number of robotmanufacturers have products specifically designed for this industry. Industrial robotics forpharmaceutical applications has a bright future. With a rapidly aging population that urgentlyrequires sophisticated medical devices and newer drugs, robotics systems are increasinglyadopted for improved productivity and efficiency to meet this growing demand. Robots inlaboratory, life science and pharmaceutical applications perform tasks at rates beyond humancapability. These robots function in potentially hazardous settings in proximity to biologicaldangers, the threat of radioactive contamination and toxic chemotherapy compounds.Robotics is called upon to assemble and package a variety of medical devices and implants aswell as preparing prescriptions for mail-order pharmacies or hospitals. The Laboratory RoboticsInterest Group (LRIG) is an international non-profit organization dedicated to the study anddiscussion of laboratory automation. LRIG activates the uses of laboratory automation in highthroughput screening, drug discovery, combinatorial chemistry, chemical synthesis, compoundpurification, compound distribution, data management, pharmaceutical dosage form samplepreparation, dissolution testing, bio analytical technology, chemical analysis, solid phaseextraction, validation and product formulation.en_US
dc.identifier.affiliationsIndrayani Institute of Pharmaceutical Education & Research, Talegaon Dabhadeen_US
dc.identifier.citationBorole Unnati. M., Nayan N. Kaduskar, Shinde Kartik. G.. Artifical Intelligence In Pharma Manufacturing: A Review. International Journal of Pharmaceutical Research and Bioscience (IJPRBS). 2020 Aug; 9(4): 10-28en_US
dc.identifier.issn2277-8713
dc.identifier.placeIndiaen_US
dc.identifier.urihttps://imsear.searo.who.int/handle/123456789/203808
dc.languageenen_US
dc.publisherBimonthly published online Journalen_US
dc.relation.issuenumber4en_US
dc.relation.volume9en_US
dc.source.urihttps://www.ijprbs.com/issuedocs/2020/8/IJPRBS%201499.pdfen_US
dc.subjectAutomationen_US
dc.subjectAccurateen_US
dc.subjectFlexibleen_US
dc.subjectRobusten_US
dc.subjectCompacten_US
dc.subjectEfficienten_US
dc.subjectEasy to Useen_US
dc.titleArtifical Intelligence In Pharma Manufacturing: A Reviewen_US
dc.typeJournal Articleen_US
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