چاپ صفحه |  صفحه نخست سامانه |  نویسندگان |  اطلاعات تفضیلی |  دانلود مقاله | دانشگاه علوم پزشکی تبریز |
| نویسنده ثبت کننده مقاله | لاله خدائی |
| مرحله جاری مقاله | تایید نهایی |
| دانشکده/مرکز مربوطه | دانشکده داروسازی |
| کد مقاله | 82296 |
| عنوان فارسی مقاله | Artificial intelligence in herbal medicine and drug discovery |
| عنوان لاتین مقاله | Artificial intelligence in herbal medicine and drug discovery |
| نوع ارائه | پوستر |
| عنوان کنگره / همایش | اولین کنگره بین المللی هوش مصنوعی در علوم پزشکی |
| نوع کنگره / همایش | بین المللی |
| کشور محل برگزاری کنگره/ همایش | Iran (Islamic Republic) |
| شهر محل برگزاری کنگره/ همایش | کیش |
| سال انتشار/ ارائه شمسی | 1402 |
| سال انتشار/ارائه میلادی | 2023 |
| تاریخ شمسی شروع و خاتمه کنگره/همایش | 1402/02/27 الی 1402/02/29 |
| آدرس لینک مقاله/ همایش در شبکه اینترنت | https://civilica.com/l/113193/ |
| آدرس علمی (Affiliation) نویسنده متقاضی | Department of Pharmacognosy, Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran. |
| نویسنده | نفر چندم مقاله |
|---|---|
| لاله خدائی | اول |
| سمیه سلطانی | دوم |
| عنوان | متن |
|---|---|
| خلاصه مقاله | Artificial intelligence in herbal medicine and drug discovery Background and aims: Artificial intelligence (AI) plays a crucial role in different fields of medicine and healthcare. Persian medicine takes the center stage in healthcare system of Iran. Treatment in Persian Medicine is mainly based on herbal drugs and preparations. There is large dataset in Persian manuscripts and growing number of scientific research to verify using typical medicinal plants in special ailments. AI could be used to categorize and analyze those large amount of information for extraction and interpretation of information. Methods: this is a review manuscript containing data regarding application of AI in herbal medicine. Clustering algorithms could be a data analyzing technique to automatically recognize the pattern between the patient’s symptoms and the proper herbal preparation selection. These networks could be designed based on integration of clinical practice, patient’s outcomes and the selected herbal medicine. This could be helpful especially when there is neither any therapeutic pattern nor clear evidence for herbal therapies in special ailments. Results: Using AI could be an unprecedented step to reduce superfluous trials and to decrease time to acquire data. It could assist in selection of tailored herbal medicine according to patient’s genetics, physiological, pathological characteristics, and temperament which can efficiently lead to apply personalized medicine. AI could assist in acquiring prediction power to conduct more efficient trails, to use whether a single herbal drug, or the combination of herbal medicine for complex disease such as cancer or MS. AI could gather information from datasets to gain networks of potential interactions between phytochemicals, proteins, genes, and organs. Conclusion: AI is a practical tool to predict molecular activity of natural compounds in the body which paves the way for drug discovery with consuming much less time and money. |
| کلمات کلیدی | Artificial intelligence, herbal medicine, drug discovery, |
| نام فایل | تاریخ درج فایل | اندازه فایل | دانلود |
|---|---|---|---|
| abstract booklet.pdf | 1402/05/29 | 3260939 | دانلود |
| certificate.pdf | 1402/05/29 | 86556 | دانلود |
