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During this period, the first computers, such
as UNIVAC and IBM 650, were introduced,
aiding basic data processing in
pharmaceutical labs.
The industry witnessed a shift from manual
methods to digitalization, with the advent of
databases and electronic data storage
systems
Supercomputers became integral, facilitating
complex simulations and molecular dynamics
crucial for drug discovery.
Bioinformatics tools gained prominence,
enhancing genomics, proteomics research, and
the incorporation of computer-aided drug
design (CADD)
The era saw the rise of big data analytics,
revolutionizing large-scale studies. Machine
learning algorithms played a pivotal role in drug
discovery and candidate prediction.
History of computers in pharmaceutical
research and development
1990S - HIGH-PERFORMANCE
COMPUTING:
2010S - BIG DATA AND MACHINE
LEARNING:
1970S-1980S - DIGITALIZATION
AND DATA MANAGEMENT:
1950S-1960S - EMERGENCE OF
COMPUTERS:
2000S - BIOINFORMATICS
REVOLUTION
A depiction of early pharmaceutical research without computers,
scientists using manual methods for data analysis.
2020S - AI IN
PHARMACEUTICAL R&D
ARTIFICIAL INTELLIGENCE (AI) TOOK CENTER
STAGE, CONTRIBUTING TO VIRTUAL TRIALS,
PERSONALIZED MEDICINE, AND
COLLABORATIVE EFFORTS BETWEEN AI AND
HUMAN RESEARCHERS.
CURRENT TRENDS
VISUAL REPRESENTATION OF CURRENT
TRENDS LIKE QUANTUM COMPUTING IN
PHARMACEUTICAL RESEARCH.
FUTURE PROSPECTS
SPECULATION ON THE FUTURE INTEGRATION OF
ADVANCED TECHNOLOGIES LIKE QUANTUM COMPUTING
AND AI.
URVASHI SAINI(M-410)

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Story Board on History of Computers in Pharmacy.pdf

  • 1. During this period, the first computers, such as UNIVAC and IBM 650, were introduced, aiding basic data processing in pharmaceutical labs. The industry witnessed a shift from manual methods to digitalization, with the advent of databases and electronic data storage systems Supercomputers became integral, facilitating complex simulations and molecular dynamics crucial for drug discovery. Bioinformatics tools gained prominence, enhancing genomics, proteomics research, and the incorporation of computer-aided drug design (CADD) The era saw the rise of big data analytics, revolutionizing large-scale studies. Machine learning algorithms played a pivotal role in drug discovery and candidate prediction. History of computers in pharmaceutical research and development 1990S - HIGH-PERFORMANCE COMPUTING: 2010S - BIG DATA AND MACHINE LEARNING: 1970S-1980S - DIGITALIZATION AND DATA MANAGEMENT: 1950S-1960S - EMERGENCE OF COMPUTERS: 2000S - BIOINFORMATICS REVOLUTION A depiction of early pharmaceutical research without computers, scientists using manual methods for data analysis. 2020S - AI IN PHARMACEUTICAL R&D ARTIFICIAL INTELLIGENCE (AI) TOOK CENTER STAGE, CONTRIBUTING TO VIRTUAL TRIALS, PERSONALIZED MEDICINE, AND COLLABORATIVE EFFORTS BETWEEN AI AND HUMAN RESEARCHERS. CURRENT TRENDS VISUAL REPRESENTATION OF CURRENT TRENDS LIKE QUANTUM COMPUTING IN PHARMACEUTICAL RESEARCH. FUTURE PROSPECTS SPECULATION ON THE FUTURE INTEGRATION OF ADVANCED TECHNOLOGIES LIKE QUANTUM COMPUTING AND AI. URVASHI SAINI(M-410)