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Development of GBRT Model as a Novel and Robust Mathematical Model to Predict and Optimize the Solubility of Decitabine as an Anti-Cancer Drug.
Abdelbasset, Walid Kamal; Elsayed, Shereen H; Alshehri, Sameer; Huwaimel, Bader; Alobaida, Ahmed; Alsubaiyel, Amal M; Alqahtani, Abdulsalam A; El Hamd, Mohamed A; Venkatesan, Kumar; AboRas, Kareem M; Abourehab, Mohammed A S.
Afiliação
  • Abdelbasset WK; Department of Health and Rehabilitation Sciences, College of Applied Medical Sciences, Prince Sattam bin Abdulaziz University, P.O. Box 173, Al-Kharj 11942, Saudi Arabia.
  • Elsayed SH; Department of Physical Therapy, Kasr Al-Aini Hospital, Cairo University, Giza 12613, Egypt.
  • Alshehri S; Department of Rehabilitation Sciences, College of Health and Rehabilitation Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
  • Huwaimel B; Department of Pharmaceutics and Industrial Pharmacy, College of Pharmacy, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.
  • Alobaida A; Department of Pharmaceutical Chemistry, College of Pharmacy, University of Hail, Hail 81442, Saudi Arabia.
  • Alsubaiyel AM; Department of Pharmaceutics, College of Pharmacy, University of Hail, Hail 81442, Saudi Arabia.
  • Alqahtani AA; Department of Pharmaceutics, College of Pharmacy, Qassim University, Buraidah 52571, Saudi Arabia.
  • El Hamd MA; Department of Pharmaceutics, College of Pharmacy, Najran University, Najran 11001, Saudi Arabia.
  • Venkatesan K; Department of Pharmaceutical Sciences, College of Pharmacy, Shaqra University, Al Dwadmi 11961, Saudi Arabia.
  • AboRas KM; Department of Pharmaceutical Analytical Chemistry, Faculty of Pharmacy, South Valley University, Qena 83523, Egypt.
  • Abourehab MAS; Department of Pharmaceutical Chemistry, College of Pharmacy, King Khalid University, Abha 62529, Saudi Arabia.
Molecules ; 27(17)2022 Sep 02.
Article em En | MEDLINE | ID: mdl-36080444
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Antineoplásicos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Antineoplásicos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article