Ahna Ajan
, Salva K. S , Radhika B
Artificial intelligence, Drug development, Drug designing, pharmaceutical, Drug
Drug discovery is a complex process carried out by pharmacists carefully that can take up to years. Data in healthcare has become increasingly digitalized over time, particularly in the pharmaceutical industry. However, this presents numerous difficulties, such as acquiring, examining, and applying that knowledge to resolve clinical issues that can be excessively complex. Introduction of Artificial Intelligence has been proven to reduce the human workloads in this sector. Artificial intelligence refers to the processing of human intellect by machines, particularly computer systems. Medical chemistry has been applying AI in drug development since 1960s. Quantitative Structure-Activity Relationship (QSAR) approach is a prime example of this. QSAR is frequently used to forecast properties of chemical structures, including bioactivity and solubility, among others.
"AI IN DRUG DEVELOPMENT", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 3, page no.1207 - 1210, March-2023, Available :https://ijsdr.org/papers/IJSDR2303197.pdf
Volume 8
Issue 3,
March-2023
Pages : 1207 - 1210
Paper Reg. ID: IJSDR_204733
Published Paper Id: IJSDR2303197
Downloads: 000347213
Research Area: Computer Science & Technology
Country: North Paravur, Kerala, India
DOI: http://doi.one/10.1729/Journal.33881
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
