Mobile Technologies, Applications and Software Design EasyMed Mobile Application by Lingshuang Kong and Yumei Feng EasyMed, an AI-powered mobile application, aims to assist users in quickly and accurately identifying interactions between drugs and between drugs and food. It achieves this with a notable accuracy rate of 93% and a comprehensive database containing 200,000 drug-drug pairs and 330,000 drug-food pairs. Additionally, EasyMed offers functionalities such as drug list management and access to informative articles on polypharmacy, catering to a diverse range of user needs.
Bronze A' Design Award Winner
EasyMed Mobile Application by Lingshuang Kong and Yumei Feng is a highly esteemed winner of the A' Mobile Technologies, Applications and Software Design Award. EasyMed Mobile Application earned the Bronze A' Design Award in 2024 and is showcased on Award-Winning Graphics Designs among other outstanding designs. Explore the details of the project, discover other works by Lingshuang Kong and Yumei Feng and see why EasyMed Mobile Application design stands out from its competition.
About EasyMed
Mobile Technologies, Applications and Software Design EasyMed Mobile Application by Lingshuang Kong and Yumei Feng EasyMed, an AI-powered mobile application, aims to assist users in quickly and accurately identifying interactions between drugs and between drugs and food. It achieves this with a notable accuracy rate of 93% and a comprehensive database containing 200,000 drug-drug pairs and 330,000 drug-food pairs. Additionally, EasyMed offers functionalities such as drug list management and access to informative articles on polypharmacy, catering to a diverse range of user needs. EasyMed earned the Bronze A' Design Award, a respected level of recognition in the A' Design Award & Competition. Bronze A' Design Award works combine new ideas with skillful designs, and are selected by a grand jury, as valuable entries in their respective categories, after fair, just, meritocratic and independent academic review, where nominated projects are voted via blind peer-review process on pre-established, publicly-available evaluation criteria.
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