Please answer the questions after reading this article. Please be concise and answers the questions perfectly.
An older issue of Discover Magazine has a great article entitled "Wonder Drugs That Can Kill."
Questions:
1. Name two of the drugs discussed in this article, what they are
used for, and why their efficacy may be debateable.
2. How do economics and insurance companies affect the drug
industry and medical community as a whole?
3. Name two ways the article says drugs can be made to look better
and safer that they actually are.
4. Whar are combination end points? How do they affect conclusions
when analyzing data?
5. Define all cause morbidity and all cause mortality. At what
point do the benefits of a drug outweigh the potential risks?
6. In cases like those cited in the article, who is at fault if an
unsafe drug is used: the media, the pulic, drug companies, or
doctors?
7. What steps could be taken to make drugs safer?
Answer
1. The two drugs discussed -
| Drug name | Use | Why effeciency is debateable |
| tPA | Stroke treatment, it is a clot bluster |
this drug cannot be used in case of bleeding. even though CAt scan showed no sigh of bleeding, still after using the patient died of brain hemorrhage. |
| COX-2 inhibitors | painkiller | It caused heart attack. |
2. Role of economics and insurance companies in drug industry and medical community-
Advertise in media caused more demand for wonder drug.
3.two ways drugs can be made better looking than they actually are-
Please answer the questions after reading this article. Please be concise and answers the questions perfectly....
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Please read the article bellow and discuss the shift in the
company's approach to genetic analysis. Please also discuss what
you think about personal genomic companies' approaches to research.
Feel free to compare 23andMe's polices on research with another
company's. Did you think the FDA was right in prohibiting 23andMe
from providing health information?
These are some sample talking points to get you thinking about
the ethics of genetic research in the context of Big Data. You
don't have to...