Trends of artificial intelligence (AI) use in drug targets, discovery and development: current status and future perspectives

M Mahapatra, C Sahu, S Mohapatra - Current Drug Targets, 2024 - benthamdirect.com
The applications of artificial intelligence (AI) in pharmaceutical sectors have advanced drug
discovery and development methods. AI has been applied in virtual drug design, molecule …

An outlook on structural biology after A lpha F old: tools, limits and perspectives

S Rosignoli, M Pacelli, F Manganiello… - FEBS Open …, 2024 - Wiley Online Library
AlphaFold and similar groundbreaking, AI‐based tools, have revolutionized the field of
structural bioinformatics, with their remarkable accuracy in ab‐initio protein structure …

Artificial intelligence in pharmaceuticals: Exploring applications and legal challenges

F Shaki, M Amirkhanloo, D Jahani… - Pharmaceutical and …, 2024 - pbr.mazums.ac.ir
Methods: This study conducted a thorough search on the PubMed, Scopus, and Google
Scholar databases using the following keywords:“Artificial intelligence”,“neural …

Revolutionizing Pharma: Unveiling the AI and LLM Trends in the Pharmaceutical Industry

Y Han, J Tao - arxiv preprint arxiv:2401.10273, 2024 - arxiv.org
This document offers a critical overview of the emerging trends and significant
advancements in artificial intelligence (AI) within the pharmaceutical industry. Detailing its …

Future of Digital Supply Chain Management

MS Mubarik, SA Khan - The Theory, Methods and Application of …, 2024 - emerald.com
This final chapter delves into the future of digital supply chain management (DSCM) amid
today's dynamic business environment, shaped by technological advancements and factors …

POLAR Star: A New Framework Developed and Applied by One Mid-Sized Pharmaceutical Company to Drive Digital Transformation in R&D

R Mariani, MC De Vuono, E Businaro, S Ivaldi… - Pharmaceutical …, 2024 - Springer
Digital transformation has become a cornerstone of innovation in pharmaceutical research
and development (R&D). Pharmaceutical companies now have an imperative to embrace …

Self-driving development of perfusion processes for monoclonal antibody production

C Mueller, T Vuillemin, CJ Gadiyar, J Souquet… - bioRxiv, 2024 - biorxiv.org
It is essential to increase the number of autonomous agents bioprocess development for
biopharma innovation to shorten time and resource utilization in the path from product to …

System dynamics modeling for understanding the adoption of digital therapeutics

S Koul, V Mishra, IW Taylor - 2024 First International …, 2024 - ieeexplore.ieee.org
Digital Therapeutics (DTx) is an expanding category of healthcare technologies utilising
evidence-based software programs to treat, manage, or prevent illnesses and afflictions. The …

A Comprehensive Overview of the Pharmaceutical Industry's Accessibility, Quality, and Affordability

T Sanwal, M Tyagi, S Avasthi, P Rai, S Yadav, S Singh - 2025 - igi-global.com
The chapter explores various facets of the pharmaceutical industry, focusing on ethical
challenges, regulatory issues, digitalization, and the Indian pharmaceutical landscape …

[PDF][PDF] Artificial Intelligence in Pharmaceuticals: Exploring Applications and Legal Chal-lenges. Pharmaceutical and Biomedical Researc h. 2024; 10 (1): 1-10

F Shaki, M Amilrkhanloo, D Jahani… - Screen, 2022 - pbr.mazums.ac.ir
Methods: This study conducted a thorough search on the PubMed, Scopus, and Google
Scholar databases using the following keywords:“Artificial intelligence”,“neural …