A Quote by Anthony Fauci

The Europeans have lots of data on the use of adjuvanted flu vaccine in the elderly, but I don't think anybody has really good data on adjuvants in children. — © Anthony Fauci
The Europeans have lots of data on the use of adjuvanted flu vaccine in the elderly, but I don't think anybody has really good data on adjuvants in children.
The Europeans have lots of data on the use of adjuvanted flu vaccine in the elderly, but I dont think anybody has really good data on adjuvants in children.
You can harvest any data that you want, on anybody. You can infer any data that you like, and you can use it to manipulate them in any way that you choose. And you can roll out an algorithm that genuinely makes massive differences to people's lives, both good and bad, without any checks and balances.
One of the myths about the Internet of Things is that companies have all the data they need, but their real challenge is making sense of it. In reality, the cost of collecting some kinds of data remains too high, the quality of the data isn't always good enough, and it remains difficult to integrate multiple data sources.
Now, you might think of flu as just a really bad cold, but it can be a death sentence. Every year, 36,000 people in the United States die of seasonal flu. In the developing world, the data is much sketchier, but the death toll is almost certainly higher.
Scientific data are not taken for museum purposes; they are taken as a basis for doing something. If nothing is to be done with the data, then there is no use in collecting any. The ultimate purpose of taking data is to provide a basis for action or a recommendation for action. The step intermediate between the collection of data and the action is prediction.
Biases and blind spots exist in big data as much as they do in individual perceptions and experiences. Yet there is a problematic belief that bigger data is always better data and that correlation is as good as causation.
The conjuror or con man is a very good provider of information. He supplies lots of data, by inference or direct statement, but it's false data. Scientists aren't used to that scenario. An electron or a galaxy is not capricious, nor deceptive; but a human can be either or both.
We continue to recommend flu vaccine as the single best way to protect yourself against the flu. The vaccine will protect against strains covered in the vaccine, and it may have some effectiveness in the drifted strains.
Connectivity offers a great opportunity for General Motors. When you look at the investment we have made in OnStar and putting 4GLT in and the access you have to not only put data in, and we haven't really tapped into the data you can use from the vehicle.
People think 'big data' avoids the problem of discrimination because you are dealing with big data sets, but, in fact, big data is being used for more and more precise forms of discrimination - a form of data redlining.
We use nearly 5 thousand different data points about you to craft and target a message. The data points are not just a representative model of you. The data points are about you, specifically.
The biggest mistake is an over-reliance on data. Managers will say if there are no data they can take no action. However, data only exist about the past. By the time data become conclusive, it is too late to take actions based on those conclusions.
Nobody should try to use data unless he has collected data.
A data scientist is that unique blend of skills that can both unlock the insights of data and tell a fantastic story via the data.
Every day we go over data and use science and data to drive policy and decision-making.
Data!data!data!" he cried impatiently. "I can't make bricks without clay.
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