BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

189 related articles for article (PubMed ID: 38788373)

  • 1. Good machine learning practices: Learnings from the modern pharmaceutical discovery enterprise.
    Makarov V; Chabbert C; Koletou E; Psomopoulos F; Kurbatova N; Ramirez S; Nelson C; Natarajan P; Neupane B
    Comput Biol Med; 2024 Jul; 177():108632. PubMed ID: 38788373
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Rethinking Drug Repositioning and Development with Artificial Intelligence, Machine Learning, and Omics.
    Koromina M; Pandi MT; Patrinos GP
    OMICS; 2019 Nov; 23(11):539-548. PubMed ID: 31651216
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Big Techs and startups in pharmaceutical R&D - A 2020 perspective on artificial intelligence.
    Schuhmacher A; Gatto A; Kuss M; Gassmann O; Hinder M
    Drug Discov Today; 2021 Oct; 26(10):2226-2231. PubMed ID: 33965571
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Artificial Intelligence and Machine Learning Technology Driven Modern Drug Discovery and Development.
    Sarkar C; Das B; Rawat VS; Wahlang JB; Nongpiur A; Tiewsoh I; Lyngdoh NM; Das D; Bidarolli M; Sony HT
    Int J Mol Sci; 2023 Jan; 24(3):. PubMed ID: 36768346
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Exploring the artificial intelligence and machine learning models in the context of drug design difficulties and future potential for the pharmaceutical sectors.
    Shiammala PN; Duraimutharasan NKB; Vaseeharan B; Alothaim AS; Al-Malki ES; Snekaa B; Safi SZ; Singh SK; Velmurugan D; Selvaraj C
    Methods; 2023 Nov; 219():82-94. PubMed ID: 37778659
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Digital Pharmaceutical Sciences.
    Damiati SA
    AAPS PharmSciTech; 2020 Jul; 21(6):206. PubMed ID: 32715351
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Enhancing preclinical drug discovery with artificial intelligence.
    Vijayan RSK; Kihlberg J; Cross JB; Poongavanam V
    Drug Discov Today; 2022 Apr; 27(4):967-984. PubMed ID: 34838731
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Revolutionizing Pharmaceutical Industry: The Radical Impact of Artificial Intelligence and Machine Learning.
    Chhina A; Trehan K; Saini M; Thakur S; Kaur M; Shahtaghi NR; Shivgotra R; Soni B; Modi A; Bakrey H; Jain SK
    Curr Pharm Des; 2023; 29(21):1645-1658. PubMed ID: 37550904
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Artificial intelligence and machine learning-aided drug discovery in central nervous system diseases: State-of-the-arts and future directions.
    Vatansever S; Schlessinger A; Wacker D; Kaniskan HÜ; Jin J; Zhou MM; Zhang B
    Med Res Rev; 2021 May; 41(3):1427-1473. PubMed ID: 33295676
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Machine learning and deep learning in data-driven decision making of drug discovery and challenges in high-quality data acquisition in the pharmaceutical industry.
    Kumar SA; Ananda Kumar TD; Beeraka NM; Pujar GV; Singh M; Narayana Akshatha HS; Bhagyalalitha M
    Future Med Chem; 2022 Feb; 14(4):245-270. PubMed ID: 34939433
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Application of Artificial Intelligence and Machine Learning in Drug Discovery.
    Gupta RR
    Methods Mol Biol; 2022; 2390():113-124. PubMed ID: 34731466
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries.
    Selvaraj C; Chandra I; Singh SK
    Mol Divers; 2022 Jun; 26(3):1893-1913. PubMed ID: 34686947
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Artificial intelligence to deep learning: machine intelligence approach for drug discovery.
    Gupta R; Srivastava D; Sahu M; Tiwari S; Ambasta RK; Kumar P
    Mol Divers; 2021 Aug; 25(3):1315-1360. PubMed ID: 33844136
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Artificial Intelligence and Quantum Computing as the Next Pharma Disruptors.
    Cova T; Vitorino C; Ferreira M; Nunes S; Rondon-Villarreal P; Pais A
    Methods Mol Biol; 2022; 2390():321-347. PubMed ID: 34731476
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Artificial Intelligence for Pharma: Time for Internal Investment.
    Henstock PV
    Trends Pharmacol Sci; 2019 Aug; 40(8):543-546. PubMed ID: 31204059
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The potential applications of artificial intelligence in drug discovery and development.
    Farghali H; Kutinová Canová N; Arora M
    Physiol Res; 2021 Dec; 70(Suppl4):S715-S722. PubMed ID: 35199553
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Open Data and transparency in artificial intelligence and machine learning: A new era of research.
    Rodgers CM; Ellingson SR; Chatterjee P
    F1000Res; 2023; 12():387. PubMed ID: 37065505
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Artificial Intelligence in Drug Formulation and Development: Applications and Future Prospects.
    Noorain ; Srivastava V; Parveen B; Parveen R
    Curr Drug Metab; 2023; 24(9):622-634. PubMed ID: 37779408
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Artificial intelligence in drug development: present status and future prospects.
    Mak KK; Pichika MR
    Drug Discov Today; 2019 Mar; 24(3):773-780. PubMed ID: 30472429
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Opportunities and challenges in application of artificial intelligence in pharmacology.
    Kumar M; Nguyen TPN; Kaur J; Singh TG; Soni D; Singh R; Kumar P
    Pharmacol Rep; 2023 Feb; 75(1):3-18. PubMed ID: 36624355
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.