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Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Evolution of Physical Intelligence Across Scales
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
Medication reconciliation in a hospital environment: Avoided discrepancies and cost savings - A single arm intervention study: Benefits of medication reconciliation in a hospital [PDF]
Medication reconciliation has proven to be essential for patient safety. However, studies on its economic viability are still scarce. Therefore, the aim of this study was to understand the avoided cost of medication discrepancies identified through the ...
Lays Cássia Santos Duarte +5 more
doaj +1 more source
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
ABSTRACT Background For much of the 20th century, the South African mining industry had a statutory compensation system for pneumoconiosis and tuberculosis characterized by gross racial inequality. This study examines the impact of inflation over the period 1973–2024 on the real value of miners' lung disease compensation, including the effect of the ...
Martin Nicol +3 more
wiley +1 more source
Background The pharmaceutical industry in Iran is influenced by various parameters such as internal factors caused by the financial information of each economic unit and external factors including major economic and non-economic variables.
Mohammadreza Masoumi +3 more
doaj +1 more source
ABSTRACT Background Chronic rhinosinusitis with nasal polyps (CRSwNP) is managed after sinus surgery with topical corticosteroids. Given limited distribution of nasal steroid sprays, patients have the option of either steroid nasal irrigation (SNI) or exhalation delivery system with fluticasone (EDS‐FLU).
Daniel Xiao +3 more
wiley +1 more source
ABSTRACT Lipid‐based nanoparticles (LNPs) are favored for drug delivery because of their low toxicity, high biocompatibility, ability to self‐assemble into nanoparticles, and ability to enhance drug bioavailability, thereby improving drug release modulation and pharmacokinetics.
Gulizar Caliskan +3 more
wiley +1 more source
Organizational-economic aspects of innovative technologies in the field of pharmacy
This article presents the basic directions of scientific researches of the department of management and economics in pharmacy in the field of use of innovative technologies, such as research of expenses for medicinal therapy of various diseases ...
E E Loskutova +4 more
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Jędrzej Lewicki,1 Urszula Religioni,2 Piotr Merks3 1Department of Pharmaceutical Technology, Faculty of Pharmacy, Collegium Medicum in Bydgoszcz, Bydgoszcz, Poland; 2Collegium of Business Administration, Warsaw School of Economics, Warsaw, Poland ...
Lewicki J, Religioni U, Merks P
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