Artificial Intelligence in Pharma Industry- A Review

被引:0
|
作者
Shah, Niyati [1 ]
Kumari, Mamta [1 ]
Sadhu, Piyushkumar [1 ]
Talele, Chitrali [1 ]
机构
[1] Sumandeep Vidyapeeth, Dept Pharm, Vadodara, Gujarat, India
关键词
ACPS; challenges to adoption of artificial intelligence in pharma; drug adherence and dosage; drug discovery; manufacturing execution system; tools of artificial intelligence; treatment and management ofrare diseases;
D O I
暂无
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
The use of artificial intelligence (AI) in pharmaceutical technology has grown over time, and it may help save time and money while also improving our understanding of the connections between various formulations and process parameters. AI is a subfield of computer science called intelligence that focuses on the use of symbolic programming to solve problems. It has significantly developed into a problem-solving science with numerous applications in business, medicine, and engineering. The article discusses the development of novel peptides from natural foods, the treatment and management of rare diseases, drug adherence and dosage, and challenges to the adoption of AI in pharma. It also discusses manufacturing execution systems, automated control process systems, and AI to predict new treatments.
引用
收藏
页码:173 / 178
页数:6
相关论文
共 50 条
  • [41] Artificial Intelligence for Autonomous Molecular Design: A Perspective
    Joshi, Rajendra P.
    Kumar, Neeraj
    MOLECULES, 2021, 26 (22):
  • [42] Artificial intelligence in drug discovery: applications and techniques
    Deng, Jianyuan
    Yang, Zhibo
    Ojima, Iwao
    Samaras, Dimitris
    Wang, Fusheng
    BRIEFINGS IN BIOINFORMATICS, 2022, 23 (01)
  • [43] Enhancing preclinical drug discovery with artificial intelligence
    Vijayan, R. S. K.
    Kihlberg, Jan
    Cross, Jason B.
    Poongavanam, Vasanthanathan
    DRUG DISCOVERY TODAY, 2022, 27 (04) : 967 - 984
  • [44] Opportunities and challenges in application of artificial intelligence in pharmacology
    Kumar, Mandeep
    Nguyen, T. P. Nhung
    Kaur, Jasleen
    Singh, Thakur Gurjeet
    Soni, Divya
    Singh, Randhir
    Kumar, Puneet
    PHARMACOLOGICAL REPORTS, 2023, 75 (01) : 3 - 18
  • [45] Artificial intelligence in the early stages of drug discovery
    Cavasotto, Claudio N.
    Di Filippo, Juan I.
    ARCHIVES OF BIOCHEMISTRY AND BIOPHYSICS, 2021, 698
  • [46] The Role of Artificial Intelligence in Drug Discovery and Development
    Ozaybi, Mazen Qassem Bohais
    Madkhali, Ahmed Nahari Mohammad
    Alhazmi, Mohammed Ali Mohammed
    Faqihi, Hesham Mohammad Ahmad
    Alanazi, Mshari Marzoq
    Siraj, Waheed Hadi Yahya
    Zalah, Ahmed Hussain Ahmed
    Khormi, Mohammed Mohsen Abdu
    Salem, Ali Mohammed Ahmed Al
    Mashragi, Talal Qasim Mosa
    Alotaibi, Ahmed Nawaf
    Naji, Ahmed Ali Mussa
    Bagal, Rehab Moaied Abdo
    Marwee, Hussain Ali Ahmed
    EGYPTIAN JOURNAL OF CHEMISTRY, 2024, 67 (13): : 1541 - 1547
  • [47] Revolution of Artificial Intelligence in Computational Chemistry Breakthroughs
    Anjaneyulu, Bendi
    Goswami, Sanchita
    Banik, Prithu
    Chauhan, Vishaka
    Raghav, Neera
    Chinmay
    CHEMISTRY AFRICA-A JOURNAL OF THE TUNISIAN CHEMICAL SOCIETY, 2024, 7 (06): : 3443 - 3459
  • [48] Cheminformatics and artificial intelligence for accelerating agrochemical discovery
    Djoumbou-Feunang, Yannick
    Wilmot, Jeremy
    Kinney, John
    Chanda, Pritam
    Yu, Pulan
    Sader, Avery
    Sharifi, Max
    Smith, Scott
    Ou, Junjun
    Hu, Jie
    Shipp, Elizabeth
    Tomandl, Dirk
    Kumpatla, Siva P.
    FRONTIERS IN CHEMISTRY, 2023, 11
  • [49] The Beginning of a New Era: Artificial Intelligence in Healthcare
    Kumar, Akshara
    Gadag, Shivaprasad
    Nayak, Usha Yogendra
    ADVANCED PHARMACEUTICAL BULLETIN, 2021, 11 (03) : 414 - 425
  • [50] Synthetic organic chemistry driven by artificial intelligence
    Filipa de Almeida, A.
    Moreira, Rui
    Rodrigues, Tiago
    NATURE REVIEWS CHEMISTRY, 2019, 3 (10) : 589 - 604