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DPP4 Inhibitors vs GLP 1 Agonists June 2021 Clinical Corner McLaren Physician Partners News GLP 1 Agonists What is it? Sydenham Clinic GLP 1 Receptor Agonists: Mascots & Mnemonics GIPR GLP 1R dual agonist therapies for diabetes and weight losschemistry, physiology, and clinical applications ScienceDirect GLP 1 Agonists are commonly used medications to treat Type 2 Diabetes. They are subcutaneous injections, so many patients mistaken these medications for insulin. However, GLP 1's are very different. They work primarily on
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Best in 7 days
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4.6 ★★★★★
Based on 861 reviews
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Product Reviews
★★★★★ 5
Better than others in RAG topics
Format: Paperback
Worth every cent. Clear simple and write the way, like some is explaining the problem to you.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 14, 2025
★★★★★ 5
very practical and helpful
Format: Paperback
Great book, I’m satisfied with my purchase
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Reviewed in the United States on September 6, 2025
★★★★★ 4
Really good content on Rag and Agents
Format: Paperback
The book is a plethora of AI implementations put together this covers everything required for an Ai engineer, llm developer and enterprise user to understand the terms are simple and implementation is even better, you should definitely check it out
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Reviewed in the United States on July 29, 2025
★★★★★ 5
Good coverage of the subject.
Format: Paperback
Good.
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Reviewed in the United States on September 19, 2025
★★★★★ 1
Not worth your time!
Format: Paperback
The abstration level of the knowledge presented in this book is mixed and poorly organized, for example, it could leap from high level suddenly into the details of import packages and codes. This book tries to cover a loooot but achieves so little in any specific topic. Sometimes the high level logic is not even consistent, sometimes the low level details contain errors. There are nonsensical sentences, poorly formatted equations, figures should be printed in color to understand but are in black and white. While I may doubt myself of not being able to delve in at the beginning, gradually it is pretty clear that it is the poor quality of this book that drags me and makes me want to finish reading as soon as possible. I cannot believe this quality of writing was generated with the help of AI. This is an evidence that human can write much poorly than AI. All the figures from the cited papers are of poor resolution and quality. I have submitted more than 15 erratas to the publisher. These just cover the obvious mistakes or errors, and cannot cover the poor organization and logic of the book. It's such a waste of my money and time!
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Reviewed in the United States on May 28, 2026
