Data-Driven Decision Support Systems for Drug Discovery and Development: A Case Study in Pharmaceutical Management DOI Creative Commons
Rohit Dixit

Deleted Journal, Journal Year: 2024, Volume and Issue: 20(3s), P. 691 - 699

Published: April 4, 2024

This paper covers the use and influence of data-driven decision support systems (DSS) on drug management, particularly in areas exploration production. The study, which employed a mixed-methods approach, involving literature review, qualitative interviews, quantitative assessments, case study analysis, reveals AI, machine learning big data analytics ability to drive discovery development processes revolution pharmaceutical industry. shows that handling DSS allows sound making, consequently resulting improved efficiency, decreased expenses better innovation throughout process. Areas like integration, algorithm robustness, regulation are identified as major issues, offers an insight into importance these concern effective application approach management. Such contrast with works underlines role our findings essential link AI-driven healthcare innovations chain. research provides foundation for further improving state knowledge understanding guiding future aiming at expanding conceptual frameworks designing practical implementations.

Language: Английский

Subpocket Similarity-Based Hit Identification for Challenging Targets: Application to the WDR Domain of LRRK2 DOI
Merveille Eguida, Guillaume Bret,

François Sindt

et al.

Journal of Chemical Information and Modeling, Journal Year: 2024, Volume and Issue: 64(13), P. 5344 - 5355

Published: June 25, 2024

ou non, émanant des établissements d'enseignement et de recherche français étrangers, laboratoires publics privés.

Citations

5
Beyond hydrodynamics: The role of ion channels in dentine hypersensitivity DOI

Yutong Sun,

Andrea Sanders,

David H. Pashley

et al.

Journal of Dentistry, Journal Year: 2025, Volume and Issue: unknown, P. 105745 - 105745

Published: April 1, 2025

Language: Английский

Citations

0
Perspectives on current approaches to virtual screening in drug discovery DOI
Ingo Muegge, Jörg Bentzien, Ge Yunhui

et al.

Expert Opinion on Drug Discovery, Journal Year: 2024, Volume and Issue: 19(10), P. 1173 - 1183

Published: Aug. 12, 2024

Introduction For the past two decades, virtual screening (VS) has been an efficient hit finding approach for drug discovery. Today, billions of commercially accessible compounds are routinely screened, and many successful examples VS have reported. methods continue to evolve, including machine learning physics-based methods.

Language: Английский

Citations

2
Data-Driven Decision Support Systems for Drug Discovery and Development: A Case Study in Pharmaceutical Management DOI Creative Commons
Rohit Dixit

Deleted Journal, Journal Year: 2024, Volume and Issue: 20(3s), P. 691 - 699

Published: April 4, 2024

This paper covers the use and influence of data-driven decision support systems (DSS) on drug management, particularly in areas exploration production. The study, which employed a mixed-methods approach, involving literature review, qualitative interviews, quantitative assessments, case study analysis, reveals AI, machine learning big data analytics ability to drive discovery development processes revolution pharmaceutical industry. shows that handling DSS allows sound making, consequently resulting improved efficiency, decreased expenses better innovation throughout process. Areas like integration, algorithm robustness, regulation are identified as major issues, offers an insight into importance these concern effective application approach management. Such contrast with works underlines role our findings essential link AI-driven healthcare innovations chain. research provides foundation for further improving state knowledge understanding guiding future aiming at expanding conceptual frameworks designing practical implementations.

Language: Английский

Citations

0