Drugs
in sentence
2204 examples of Drugs in a sentence
You go to Google and type in the two
drugs
you're taking or the one drug you're taking, and you type in "side effects."
If both "paroxetine" and "pravastatin" are present in the query, it goes up to 10 percent, a huge three- to four-fold increase in those searches with the two
drugs
that we were interested in, and diabetes-type words or hyperglycemia-type words.
They have set up social media surveillance programs to collaborate with Microsoft, which had a nice infrastructure for doing this, and others, to look at Twitter feeds, to look at Facebook feeds, to look at search logs, to try to see early signs that drugs, either individually or together, are causing problems.
How do
drugs
work?
This will create and has created a new ecosystem for understanding how
drugs
work and to optimize their use.
He did this in his PhD for hundreds of pairs of
drugs.
We don't just use pairs of
drugs
at a time.
As I said before, there are patients on three, five, seven, nine
drugs.
It's a blue sky, open field for us to use data to try to understand the interaction of
drugs.
And the final thing I want to say is, in this case we found two
drugs
and it was a little bit of a sad story.
The two
drugs
actually caused problems.
They could throw somebody into diabetes who would otherwise not be in diabetes, and so you would want to use the two
drugs
very carefully together, perhaps not together, make different choices when you're prescribing.
We could have found two
drugs
or three
drugs
that were interacting in a beneficial way.
We could have found new effects of
drugs
that neither of them has alone, but together, instead of causing a side effect, they could be a new and novel treatment for diseases that don't have treatments or where the treatments are not effective.
And so the upside here, and the subject for a different TED Talk on a different day, is how can we use the same data sources to find good effects of
drugs
in combination that will provide us new treatments, new insights into how
drugs
work and enable us to take care of our patients even better?
And
drugs
that help manage risk factors, like high blood pressure, cholesterol, and diabetes, will make heart attacks less likely, too.
I didn't speak out about the unequal access to these life-saving
drugs
or about the underlying economic and political systems that were driving infection rates in such huge swaths of the population.
As an individual caught selling a large quantity of
drugs
in my late teens, I knew firsthand the power of opportunity as opposed to the wrath of the criminal justice system.
Tension headaches and most secondary cases can be treated with over-the-counter pain medications, such as anti-inflammatory
drugs
that reduce cranial swelling.
There are some forms of cancer, which, fortunately, we've learned how to address relatively well with known and established
drugs
and surgery.
But there are some forms of cancer that don't respond to these approaches, and the tumor survives or comes back, even after an onslaught of
drugs.
And we can put different
drugs
into the nanoparticle core.
Drugs
were being smuggled, and many young people got addicted, too.
We do it because the same technology and the same approach, the machine learning of this code, is helping us to understand how we work, how your body works, how your body ages, how disease generates in your body, how your cancer grows and develops, how
drugs
work and if they work on your body.
The
drugs
navigate throughout all of your body.
However, in the last 40 years, a lot of money, research and effort have gone towards finding new, powerful
drugs
to treat pancreatic cancer, but nothing has been done in changing the way we deliver them to the patient.
Let's start with the fact that many
drugs
don't work for those who are prescribed them.
The top 10 grossing
drugs
in the United States this year, they only benefit one in four to one in 23 of who take them.
And what's worse, drugs, when they sometimes don't work, can still cause side effects.
So, as we think into the future, you think that where we are today, as we often hear about smart, personalized, targeted drugs, Internet of Things, gene therapy, AI, that we'd already arrived in this era of precision medicine.
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