Results 181 to 190 of about 4,638,728 (306)

Modular design and supervisory control for enhanced economic resilience in continuous pharmaceutical manufacturing

open access: yesAIChE Journal, EarlyView.
Abstract Conventional continuous plants use fixed‐capacity equipment, resulting in high capital risk and suboptimal performance under fluctuating demands. To address these, this study proposes an integrated framework for modular process design and supervisory control capable of adapting to demand uncertainty for long‐term economic viability.
T. Asrav, M. Alvarado‐Morales, G. Sin
wiley   +1 more source

Pharmaceutical Innovation [PDF]

open access: yes
This article, written for the forthcoming Handbook of the Economics of Technical Change, surveys the costs, risks, and challenges encountered in the progressive discovery and development of new pharmaceuticals.
Scherer, Frederic
core  

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

open access: yesAdvanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee   +3 more
wiley   +1 more source

Department of Administrative Services (DAS) program on resident bidders under Public Act 11-229

open access: yes, 2012
"Pursuant to the provisions of section 9 of Public Act 11-229, the Department of Administrative Services (DAS) in consultation with the Commissioner of Labor, the President of the University of Connecticut, the Commissioner of Public Works (now the ...
Connecticut. Dept. of Administrative Services.
core  

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng   +4 more
wiley   +1 more source

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