R
Ramesh K. Goyal
Researcher at Delhi Institute of Pharmaceutical Sciences and Research
Publications - 144
Citations - 3950
Ramesh K. Goyal is an academic researcher from Delhi Institute of Pharmaceutical Sciences and Research. The author has contributed to research in topics: Diabetes mellitus & Insulin. The author has an hindex of 32, co-authored 139 publications receiving 3493 citations. Previous affiliations of Ramesh K. Goyal include Gujarat University & Sterling Hospitals.
Papers
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Journal ArticleDOI
Association of HLA-B*1502 allele and carbamazepine-induced Stevens-Johnson syndrome among Indians.
Timir Y. Mehta,Laxman M Prajapati,Bharti Mittal,Chaitanya G. Joshi,Jayesh Sheth,Dinesh B Patel,Dinkar M Dave,Ramesh K. Goyal +7 more
TL;DR: This study suggests an association between HLA-B*1502 and carbamazepine-induced SJS in Indian patients.
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Anti-diabetic activity of Zingiber officinale in streptozotocin-induced type I diabetic rats.
TL;DR: The data suggest a potential antidiabetic activity of the juice of Z. officinale in type I diabetic rats, possibly involving 5‐HT receptors, as well as finding a significant increase in insulin levels and a decrease in fasting glucose levels in diabetic rats.
Journal Article
Prevalence of overweight and obesity in Indian adolescent school going children: its relationship with socioeconomic status and associated lifestyle factors.
Ramesh K. Goyal,Vitthaldas N Shah,Banshi Saboo,Sanjiv R Phatak,Navneet N Shah,Mukesh C Gohel,Prashad B Raval,Snehal S. Patel +7 more
TL;DR: The data suggest that the prevalence of overweight and obesity varies remarkably with different socioeconomic development levels.
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Effect of chronic treatment with Enicostemma littorale in non-insulin-dependent diabetic (NIDDM) rats
TL;DR: The data suggest that aqueous extract of E. littorale is a potent herbal antidiabetic that produces an increase in insulin sensitivity, normalizes dyslipidaemia and provides nephroprotection in diabetic rats.
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Applications of artificial neural networks in medical science.
TL;DR: Various applications of ANNs in medical science are summarized in this paper, which shows how ANNs are increasing in pharmacoepidemiology and medical data mining.