Artificial Intelligence in Drug Formulation and Development: Applications and Future Prospects.

Srivastava, Varsha; Parveen, Bushra; Parveen, Rabea

Srivastava, Varsha; Parveen, Bushra; Parveen, Rabea.

Affiliation

Noorain; Department of Pharmaceutics, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, 110062, India.
Srivastava V; Department of Pharmacognosy and Phytochemistry, Centre of Excellence in Unani Medicine (Pharmacognosy and Pharmacology), School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, 110062, India.
Parveen B; Department of Pharmacology, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, 110062, India.
Parveen R; Department of Pharmaceutics, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, 110062, India.

Curr Drug Metab ; 24(9): 622-634, 2023.

Article in En | MEDLINE | ID: mdl-37779408

Subject(s)

Artificial Intelligence; Machine Learning; Humans; Drug Compounding; Drug Delivery Systems; Drug Development

Key words

Artificial Intelligence (AI); Artificial Neural Network (ANN); Deep Learning (DL); Machine Learning (ML); drug delivery.; drug formulation; drug product development; formulation optimization; precision medicine; virtual screening

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Machine Learning Type of study: Clinical_trials Limits: Humans Language: En Journal: Curr Drug Metab Journal subject: METABOLISMO / QUIMICA Year: 2023 Type: Article Affiliation country: India

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