This Nature paper, Non-invasive early detection of cancer four years before conventional diagnosis using a blood test https://www.nature.com/articles/s41467-020-17316-z Major breakthrough in cell-free diagnostics. The methylation pattern of DNA can be used to identify early-stage cancer, i.e. circulating tumor DNA (ctDNA) has a distinct methylation pattern. The results are based on data from a ten year study which mu…
Ask HN: What's the best paper you've read in 2020?
141–150 of 197 posts
Re: Ask HN: What's the best paper you've read in 2020?
#142This Nature paper, Non-invasive early detection of cancer four years before conventional diagnosis using a blood test https://www.nature.com/articles/s41467-020-17316-z Major breakthrough in cell-free diagnostics. The methylation pattern of DNA can be used to identify early-stage cancer, i.e. circulating tumor DNA (ctDNA) has a distinct methylation pattern. The results are based on data from a ten year study which mu…
That's great news! So now after we know that, what are the treatment options at that stage ?
My understanding is that the prognosis is much better the earlier one begins treatment.
Re: Ask HN: What's the best paper you've read in 2020?
#143https://www.usenix.org/legacy/event/osdi10/tech/full_papers/...
Re: Ask HN: What's the best paper you've read in 2020?
#144Re: Ask HN: What's the best paper you've read in 2020?
#145aka SIREN: https://vsitzmann.github.io/siren/
Re: Ask HN: What's the best paper you've read in 2020?
#146There are lots of good bits, such as: 'On the practical side, not only is there no age at which humans are performing at peak on all cognitive tasks, there may not be an age at which humans perform at peak on most cognitive tasks. Studies that compare the young or elderly to “normal adults” must carefully select the “normal” population.' (italics in original)
This seems to me to comport with the research suggesting that most or all of the variance in IQ across the life span can be accounted for by controlling for mental processing speed; i.e., you are generally faster when you are younger, but you are not more correct when you are younger.
Re: Ask HN: What's the best paper you've read in 2020?
#147I think one of the most interesting papers I read this year was Hartshorne & Germine, 2015, "When does cognitive functioning peak? The asynchronous rise and fall of different cognitive abilities across the life span": https://doi.org/10.1177/0956797614567339 There are lots of good bits, such as: 'On the practical side, not only is there no age at which humans are performing at peak on all cognitive tasks, there may n…
As far as I can tell, this section might be one of those facts that people try not to think about too much. I don't worry about it, but I end up thinking about it a lot.
There was recently some headline news about an older mathematician that made a significant breakthrough. Other than that one outlier, have there been many important contributions made by people after the age of, say, 45?
--
"I had better say something here about this question of age, since it is particularly important for mathematicians. No mathematician should ever allow himself to forget that mathematics, more than any other art or science, is a young man's game. To take a simple illustration at a comparatively humble level, the average age of election to the Royal Society is lowest in mathematics.
We can naturally find much more striking illustrations. We may consider, for example, the career of a man who was certainly one of the world's three greatest mathematicians. Newton gave up mathematics at fifty, and had lost his enthusiasm long before; he had recognized no doubt by the time that he was forty that his great creative days were over. His greatest ideas of all, fluxions and the law of gravitation, came to him about 1666, when he was twenty-four—'in those days I was in the prime of my age for invention, and minded mathematics and philosophy more than at any time since'. He made big discoveries until he was nearly forty (the 'elliptic orbit' at thirty-seven), but after that he did little but polish and perfect.
Galois died at twenty-one, Abel at twenty-seven, Ramanujan at thirty-three, Riemann at forty. There have been men who have done great work a good deal later; Gauss's great memoir on differential geometry was published when he was fifty (though he had had the fundamental ideas ten years before). I do not know an instance of a major mathematical advance initiated by a man past fifty. If a man of mature age loses interest in and abandons mathematics, the loss is not likely to be very serious either for mathematics or for himself.
On the other hand the gain is no more likely to be substantial; the later records of mathematicians who have left mathematics are not particularly encouraging. Newton made a quite competent Master of the Mint (when he was not quarrelling with anybody). Painlevé was a not very successful Premier of France. Laplace's political career was highly discreditable, but he is hardly a fair instance, since he was dishonest rather than incompetent, and never really 'gave up' mathematics. It is very hard to find an instance of a first-rate mathematician who has abandoned mathematics and attained first-rate distinction in any other field.1 There may have been young men who would have been first-rate mathematicians if they had stuck to mathematics, but I have never heard of a really plausible example. And all this is fully borne out by my own very limited experience. Every young mathematician of real talent whom I have known has been faithful to mathematics, and not from lack of ambition but from abundance of it; they have all recognized that there, if anywhere, lay the road to a life of any distinction.
1 Pascal seems the best."
Re: Ask HN: What's the best paper you've read in 2020?
#148Erik Hoel in this paper offers an audacious hypothesis: Our brain, during the its evolution, has developed dreams as a way to solve over-fitting
Since we’re learning from a limited samples of data in the real world, chances of overfitting (I call it judgement) goes higher. In ML we inject randomness and noise to avoid overfitting. Hoel theory can explain why our dreams are so sparse & hallucinatory
Re: Ask HN: What's the best paper you've read in 2020?
#149For me, it was "Erasure Coding in Windows Azure Storage" from Microsoft Research (2016) [0] The idea that you can achieve the same practical effect of a 3x replication factor in a distributed system, but only increasing the cost of data storage by 1.6x, by leveraging some clever information theory tricks is mind bending to me. If you're operating a large Ceph cluster, or you're Google/Amazon/Microsoft and you're runn…
It's not even the reduction in storage costs in this paper that is groundbreaking. They talk about a way to not only reduce storage costs, but optimize for repairs. Repairs are costly at scale and reducing resources where possible: network, cpu, disk reads, etc is ideal.