Prof Dan Yan,Beijing Friendship Hospital, Capital Medical University,China
Prof. Dan Yan, Ph.D., is a leading figure in clinical pharmacy and precision medicine at Beijing Institute of Clinical Pharmacy, China. 🌟 With a robust background in traditional Chinese medicine and a Ph.D. from Chengdu University, he specializes in intelligent molecular diagnosis and combined medication for chronic metabolic diseases. 🧬 His groundbreaking research focuses on optimizing diabetes treatment, particularly exploring multi-drug combinations and personalized therapies. As a prolific author and committee member of prestigious scientific organizations, Prof. Yan is dedicated to advancing healthcare through innovative research and evidence-based practices. 📚✨
Publication profile
Scopus
Education
Prof. Dan Yan pursued an extensive educational journey at Chengdu University of Traditional Chinese Medicine, culminating in a Ph.D. from 2004 to 2007. Prior to his doctoral studies, he obtained his Master of Science degree from the same institution between 2001 and 2004. Prof. Yan’s academic pursuits trace back to his undergraduate years, where he completed his Bachelor of Science degree from 1994 to 1998, laying the foundation for his subsequent advanced studies. His educational background reflects a dedicated commitment to traditional Chinese medicine, fostering a deep expertise in this field.
Research focus
Prof. Dan Yan’s research focuses on the intelligent molecular diagnosis and combined medication for chronic metabolic diseases, particularly pre-diabetes and type 2 diabetes. His work leverages multi-omics approaches, such as metabolomics, to enhance early diagnosis and personalized treatment strategies. He aims to optimize drug combinations from a broad range of hypoglycemic drugs, including traditional and novel therapies. This research not only addresses the declining efficacy of long-term metformin use but also integrates pharmacoeconomics and evidence-based medicine to improve clinical outcomes in diabetes care.
Publication top notes
Structural characterization of Astragalus polysaccharide-D1 and its improvement of low-dose metformin effect by enriching Staphylococcus lentus
A systematic review on the appropriate discounting rates for the economic evaluation of gene therapies: Whether a specific approach is justified to tackle the challenges?
Antibiotic combinations prediction based on machine learning to multicentre clinical data and drug interaction correlation
Uncovering the key pharmacodynamic material basis and possible molecular mechanism of Xiaoke formulation improve insulin resistant through a comprehensive investigation
Rapid multichannel fluorescent probe assay for CYP450 inhibition screening and drug interaction monitoring
QALY-type preference and willingness-to-pay among end-of-life patients with cancer treatments: a pilot study using discrete choice experiment
β-Elemene in zedoary turmeric oil injection induces dyspnea by binding to hemoglobin and upregulating HIF-1α
Predicting coronary heart disease in Chinese diabetics using machine learning
Editorial: Benefits and risks of drug combination therapy for chronic metabolic diseases
Quality assessment and control of Shuanghuanglian Lyophilized Injection based on cell response spectrum