Development of Quantitative Structure-Property Relationship Models for Self-Emulsifying Drug Delivery System of 2-Aryl Propionic Acid NSAIDs

Li, Chenwen; Yang, Shengyong; He, Rui; Wan-Jun, TAO; Yin, Zongning

doi:10.1155/2011/206320

Cited by 4 publications

(2 citation statements)

References 32 publications

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“…In addition to these formulation techniques, researchers have applied AI methods to beads and pellets [67][68][69][70][71], microparticles and nanoparticles [72][73][74][75][76][77][78][79][80][81][82][83][84][85], microspheres and nanospheres [86][87][88], liposomes and nanoliposomes [89], colloidal systems [90], micelles [91,92], and liquid, solid dosage forms [93].…”

Section: Other Formulation Techniquesmentioning

confidence: 99%

Influence of artificial intelligence in modern pharmaceutical formulation and drug development

Ali,

Mohin,

Mondal

et al. 2024

Futur J Pharm Sci

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Background Artificial intelligence (AI) revolutionized the formulation and development of modern pharmaceuticals. With the help of AI, researchers can now optimize drug design, develop formulations, and streamline clinical trials in a much accurate and efficient way. Drug development might be greatly expedited and time-consuming procedure; however, with the help of AI this are significantly reduced. Main body of abstract The main advantages of AI in pharmaceutical formulation are its capacity to analyse vast amounts of data and spot patterns and connections that human researchers would miss. Various tools and technologies, such as ANN, fuzzy logic, neuro-fuzzy logic, and genetic algorithm are used for analysing the date, of which ANN is popular and mostly used. AI enables the discovery of novel pharmacological targets and the creation of more potent medications. AI may also be used to improve medication formulations by forecasting the solubility, stability, and bioavailability of drug candidates, increasing the likelihood that clinical trials will be successful. AI is also applied in designing clinical trials, reducing the time and cost of the process by identifying patient populations that are most likely to benefit from the treatment. Additionally, AI can monitor patients during clinical trials, detecting real-time adverse effects and adjusting dosages to improve patient outcomes. Conclusion AI is a potent pharmaceutical formulation and development tool, allowing researchers to analyse vast amounts of data, optimize drug formulations, and streamline clinical trials. As technology develops, experts anticipate that AI will increasingly show a crucial part in drug development, enabling faster, more efficient, and more effective treatments for various diseases.

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Section: Other Formulation Techniquesmentioning

confidence: 99%

Influence of artificial intelligence in modern pharmaceutical formulation and drug development

Ali,

Mohin,

Mondal

et al. 2024

Futur J Pharm Sci

View full text Add to dashboard Cite

show abstract

“…Typically, short chain alcohols are used as co-surfactants to modify the curvature and uidity of the interfacial lm, leading to the decrease of interfacial tension. Ethanol 151 and 1-butanol 152 were reported to decrease the uidity of the interfacial lm, which consequently reduce the apparent viscosity and increase the stability of the systems. 153 In fact, co-surfactants increase the maximum amount of incorporated water in the oil-surfactant system as compared to the co-surfactant free system.…”

Section: Selection Of Co-surfactantmentioning

confidence: 99%