Intelligent Pharmacy最新文献

Epilepsy is a non-communicable central nervous system (CNS) disease that accounts for approximately 0.8–1.2 % of the global population at any time. The hyper-activities of gamma butyric acid aminotransferase (GABA_AT) enzyme have been confirmed to be largely responsible for seizure/epilepsy. Because of this special function, the GABA_AT enzyme has been the main target of many anti-epilepsy drugs (AEDs). To date, many discovered AEDs have not eradicated this neurological disease. Since experimental determinations of modern drugs are usually costly and sometimes non-eco-friendly, in-silco quantitative structure–activity relationship (QSAR)-machine learning, docking and pharmacokinetics (PMK) techniques were used to design and test the oral bio-availabilities of all the designed AEDs. QSAR models were generated, and the predictive properties of R²int = 0.9827, R²ext = 0.9407, and R²adj of 0.9667 indicate the evidence that the developed model was not by chance. Six (6) new AEDs were newly designed, and they were found to have better anti-epileptic activities values of 2.146799, 2.224866, 2.31479, 2.450313, 2.301474, and 2.618303 than the standard AED, Vigabatrin (0.40672). Also, the docked new compounds shows excellent binding energies of −127.001, −129.071, −130.515, −126.881, −130.771, and −126.974 kcal/mol compared to the referenced AED (−76.9173 kcal/mol). The PMK and absorption, distribution, metabolism, excretion, and toxicity (ADMET) investigations also revealed that all the designed compounds were found to be bio-available for human administration. 'Therefore, the newly designed analogues (AEDs) could be considered as potential drug candidates for the treatment of epilepsy.

The modern language generation model ChatGPT, created by Open Artificial Intelligence (AI), is recognised for its capacity to comprehend context and produce pertinent content. This model is built on the transformer architecture, which enables it to process massive volumes of data and produce text that is both cohesive and illuminating. Service is a crucial component everywhere as it provides the basis for establishing client rapport and offering aid and support. In healthcare, the application of ChatGPT for patient service support has been one of the most significant advances in recent years. ChatGPT can help overcome language obstacles and improve patient satisfaction by facilitating communication with healthcare personnel and understanding of care. It can assist in enhancing the entire patient experience by offering personalised information and support to patients and making it more straightforward for them to communicate with healthcare professionals. Its goal can be to expedite and streamline service by promptly and accurately responding to customers. Businesses of all sizes increasingly use ChatGPT since it allows them to provide 24/7 customer support without requiring human contact. This paper briefly discusses ChatGPT and the need for better services. Various perspectives on improving customer and patient services through ChatGPT are discussed. The article also discussed the major key enablers of ChatGPT for refining customer and patient assistance. Further, the paper identifies and discusses the critical application areas of ChatGPT for customer and patient service. With its ability to handle several requests simultaneously, respond quickly and accurately to client questions, and gain knowledge from every interaction, ChatGPT is revolutionising customer and patient service. Its accessibility and compatibility with various communication channels make it a desirable solution for businesses looking to improve support. As technology advances, ChatGPT is positioned to become an essential tool for businesses wishing to provide speedy and customised service. Although ChatGPT may give convincing solutions, the chance of providing accurate and updated information poses a problem for its usage in service jobs that need accurate and up-to-date information. In future, various services will become better and more efficient due to ChatGPT and AI.

Background

Arq is a traditional Unani liquid formulation. In this study we explored Arq-Makoh, Arq-Badiyan and Arq-Kasni for their pharmacological potential to alleviate the symptoms of hyperlipidaemia and obesity and develop an amalgamation with modern drugs that have clinically well reported antihyperlipidaemic and antiobesity potential.

Materials and methods

Rats were fed High Fat Diet for 4 weeks. 10 ​ml/kg of each of the three arqs were given alone and along with atorvastatin and orlistat daily for 28 days P.O. During the course of treatment body weight and food intake were carefully observed and after the end of the study, liver weight, heart weight, plasma lipid profile, blood glucose level, insulin and leptin level, serum lipase, lactate dehydrogenase, and antioxidant activity were studied in all treatment groups.

Result

Both Arqs and Atorvastatin and Orlistat significantly reduced body weight, lipid profile in HFD fed rats. Arqs when given along with Atorvastatin and Orlistat produced more significant decrease in the serum lipid profile, serum lipase, atherogenic index, lactate Dehydrogenase and TBARS compared with HFD Control group and elevated the levels of HDL-C and SOD. Apart from antihyperlipidaemic and antiobesity effects the treatment groups showed a significant reduction in elevated fasting blood glucose levels (as a result of HFD model used in the study). The above parameters were further confirmed by histopathological studies.

Conclusion

The present study indicates that Arq-Makoh, Arq-Badiyan and Arq-Kasni has lipid lowering potential and could potentiate the antihyperlipidaemic and antiobesity potential of Atorvastatin and Orlistat.