AI‐Driven Applications in Clinical Pharmacology and Translational Science: Insights From the ASCPT 2024 AI Preconference

Clinical and Translational Science, Journal Year: 2025, Volume and Issue: 18(4)

Published: April 1, 2025

ABSTRACT Artificial intelligence (AI) is driving innovation in clinical pharmacology and translational science with tools to advance drug development, trials, patient care. This review summarizes the key takeaways from AI preconference at American Society for Clinical Pharmacology Therapeutics (ASCPT) 2024 Annual Meeting Colorado Springs, where experts academia, industry, regulatory bodies discussed how streamlining discovery, dosing strategies, outcome assessment, The theme of was centered around can empower pharmacologists researchers make informed decisions translate research findings into practice. also looked impact large language models biomedical these are democratizing data analysis empowering researchers. application explainable predicting efficacy safety, ethical considerations that should be applied when integrating were touched upon. By sharing diverse perspectives real‐world examples, this shows used bring efficiency accelerate discovery development address patients' unmet needs.

Language: Английский

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TRANSFORMATIVE APPLICATIONS OF AI IN HEALTHCARE AND PHARMACEUTICAL INNOVATION

International Journal of Applied Pharmaceutics, Journal Year: 2025, Volume and Issue: unknown, P. 101 - 111

Published: May 7, 2025

Artificial Intelligence (AI) is transforming the drug development and Clinical Trials by improving efficiency, accuracy, decision-making. AI predicts Pharmacokinetic (PK) Pharmacodynamic (PD) properties, automates compound screening enhances clinical testing throughput. In trial design, optimizes patient stratification outcome prediction analyzing vast datasets from previous trials electronic health records, leading to cost-effective adaptive trials. also facilitates real-time data monitoring, identifying discrepancies early ensure integrity regulatory compliance. By integrating diverse sources it streamlines operations, reducing human error manual workload. However, challenges persist in quality integration due varying standards across sources, necessitating advanced harmonization techniques. Regulatory frameworks often lag behind advancements, creating uncertainty potential delays. Ethical concerns, including privacy security, must be addressed for responsible implementation. Establishing standardized protocols ensuring alignment are critical AI’s successful into research. conclusion, revolutionizes trials, enhancing efficiency accuracy. overcoming data, regulatory, ethical essential its widespread adoption.

Language: Английский

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Does Digitization Lead to Sustainable Economic Behavior? Investigating the Roles of Employee Well-Being and Learning Orientation

Sustainability, Journal Year: 2025, Volume and Issue: 17(10), P. 4365 - 4365

Published: May 12, 2025

As digital transformation accelerates across industries, understanding its role in shaping sustainable employee behavior is essential, particularly mission-driven sectors like healthcare. This study investigates how digitization influences economic among healthcare professionals, emphasizing the mediating of well-being and moderating influence learning orientation. Rooted Job Demands–Resources (JD–R) model, adopts a quantitative approach with data collected from 503 employees, including physicians, nurses, administrative staff, hospitals Istanbul Ankara, Turkey. Structural equation modeling moderated mediation analysis reveal that significantly enhances well-being, which subsequently fosters behavior. Additionally, orientation strengthens both direct relationship between sustainability, as well indirect effect through well-being. These findings advance sustainability literature by integrating psychological organizational dynamics offer actionable insights for leaders. Specifically, highlights importance aligning initiatives human-centered values to drive resilience, improve achieve long-term outcomes organizations.

Language: Английский

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Framework to identify innovative sources of value creation from platform technologies

Proceedings of the National Academy of Sciences, Journal Year: 2025, Volume and Issue: 122(21)

Published: May 19, 2025

Platform technologies are fundamentally reshaping the pharmaceutical industry, offering unprecedented potential for innovation across multiple therapeutic areas. However, traditional valuation models, focused on single-asset metrics, struggle to capture full spectrum of value these create. This paper presents a comprehensive framework evaluating innovative sources creation enabled by platform throughout drug development lifecycle. Through systematic literature review, in-depth case studies, and development, we provide structured methodology capturing diverse benefits technologies. Our findings reveal that generate strategic, technical, adaptive dimensions, requiring multifaceted approach. The proposed Value Identification Strategic, Technical, Adaptive domains Framework defines key drivers, specifies quantitative assessment provides implementation guidance inform strategic decision-making in research investment, portfolio management, business development. Application studies Alnylam’s RNAi platform, Genentech’s antibody Moderna’s mRNA demonstrates its broad utility impact potential. By adopting this holistic, data-driven approach, stakeholders can better assess long-term competitive advantages well-implemented technologies, accelerating transformative therapies patients.

Language: Английский

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The Impact of Emerging Technologies on Pharmaceutical Process Design and Optimization in Africa: A Review

Journal of Pharmaceutical Research International, Journal Year: 2024, Volume and Issue: 36(9), P. 46 - 60

Published: Aug. 29, 2024

Emerging technologies present a transformative potential for pharmaceutical process design and optimization, particularly within Africa’s evolving industries. The purpose of this review is to explore the impact emerging digital technologies, including Artificial Intelligence (AI), Machine Learning (ML), Internet Things (IoT), Robotics, on optimization African context. Data was collected through comprehensive literature scholarly articles, industry reports, case studies. By analyzing recent advancements studies, identifies key areas where technology reshaping production processes product development. It highlights benefits, increased efficiency, improved accuracy, minimized waste. However, also emphasizes significant challenges, infrastructural limitations, regulatory barriers, disparities in access that can hinder adoption these Africa. An assessment their manufacturing drug costs, quality, safety reveals enhance operations significantly. findings suggest while offer substantial opportunities improving operations, successful integration requires strategic approach involves stakeholder cooperation, infrastructure improvements, targeted capacity enhancement initiatives continent’s industry. This offers broad overview current state technological sector Africa leveraging drive sustainable improvements development process.

Language: Английский

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AI: An Essential Tool For Managing the Burgeoning Complexity of Clinical Development in Pharmaceutical R&D

Drug Discovery Today, Journal Year: 2024, Volume and Issue: unknown, P. 104271 - 104271

Published: Dec. 1, 2024

Language: Английский

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