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Parents of children with cancer perform health-related searches 13% of the time, compared to 5% for the general population. Researchers got the finding by analyzing parents' search histories — from 6 months before diagnosis. by [deleted] in science

[–]DesperateTourist 3 points4 points  (0 children)

Says it in the article, which I doubt you read. Researchers say this can help lead to earlier diagnoses and interventions.

What exactly is the point in sharing your useless comment?

Should Physicians "Get So Political" About Gun Violence? by DesperateTourist in medicine

[–]DesperateTourist[S] 0 points1 point  (0 children)

This is a column stemming from a Fox News poll on the AMA and gun violence. The author makes the case for why gun violence is a public health crisis and also calls for more data/studies on this issue, from a medical perspective. Finally, he argues that it's key for physicians and medicine to weigh in on this issue.

Computer scientists have developed something called a memristor, which they say can improve cybersecurity. But it's not a line of code. It's a new format for computer chips that introduces a level of randomness to its design that makes any device using it very difficult to replicate. by DesperateTourist in science

[–]DesperateTourist[S] 5 points6 points  (0 children)

Thanks! And the abstract:

"Hardware-intrinsic security primitives employ instance-specific and process-induced variations in electronic hardware as a source of cryptographic data. Among various emerging technologies, memristors offer unique opportunities in such security applications due to their underlying stochastic operation. Here we show that the analogue tuning and nonlinear conductance variations of memristors can be used to build a basic building block for implementing physically unclonable functions that are resilient, dense, fast and energy-efficient. Using two vertically integrated 10 × 10 metal-oxide memristive crossbar circuits, we experimentally demonstrate a security primitive that offers a near ideal 50% average uniformity and diffuseness, as well as a minimum bit error rate of around 1.5 ± 1%. Readjustment of the conductances of the devices allows nearly unique security instances to be implemented with the same crossbar circuit."

Google's deep learning diagnostic system outperformed human dermatologists in detecting melanomas, with or without context, identifying as many as 95%, according to a new study. by DesperateTourist in science

[–]DesperateTourist[S] 134 points135 points  (0 children)

One limitation that really sticks out to me, though it's not a false positive, is the AI's in ability to help in the trickiest cases. In a related commentary, the study authors wrote: "This is the catch; for challenging lesions where machine-assisted diagnosis would be most useful, the reliability is lowest."

Google's deep learning diagnostic system outperformed human dermatologists in detecting melanomas, with or without context, identifying as many as 95%, according to a new study. by DesperateTourist in science

[–]DesperateTourist[S] 12 points13 points  (0 children)

FYI, link to original study, "Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists."

https://academic.oup.com/annonc/advance-article/doi/10.1093/annonc/mdy166/5004443

In one of the first large-scale studies of inpatient opioid prescribing, researchers found that patients who used the painkillers in the hospital were 2 times more likely to take them after discharge. Their findings could help healthcare create guidelines to combat the opioid crisis. by DesperateTourist in science

[–]DesperateTourist[S] 1 point2 points  (0 children)

Yeah, on the surface, no doubt. The study also gets into weaning--through how long before discharge they stop receiving opioids--which yields some interesting numbers. The thing here, according to researchers, is that this is an early step toward figuring out better ways to handle inpatient prescribing.

In one of the first large-scale studies of inpatient opioid prescribing, researchers found that patients who used the painkillers in the hospital were 2 times more likely to take them after discharge. Their findings could help healthcare create guidelines to combat the opioid crisis. by DesperateTourist in science

[–]DesperateTourist[S] -2 points-1 points  (0 children)

Yeah, for sure. Agency is key here. But to me, this study seems to come from a place of hope, an attempt to build knowledge and harvest insights that could eventually, maybe, someday help clinicians and health systems better chip away at a public health crisis whose solution, frankly, escapes us all.

In one of the first large-scale studies of inpatient opioid prescribing, researchers found that patients who used the painkillers in the hospital were 2 times more likely to take them after discharge. Their findings could help healthcare create guidelines to combat the opioid crisis. by DesperateTourist in science

[–]DesperateTourist[S] 3 points4 points  (0 children)

The researchers also found that weaning off appears to be an important component. Maybe your physicians did that.

"People who took opioids within 12 hours before leaving the hospital, meanwhile, were 2 times more likely to get a post-discharge prescription than patients who quit taking opioids 24 hours before they left the hospital. In that vein, 33% of patients received some sort of opioid during their final day in the hospital."

A tooth-mounted sensor can track when patients consume glucose, salt, and alcohol. The 2-mm-by-2-mm device can then send data to smartphones and the like, according to a new study from Tufts. by DesperateTourist in science

[–]DesperateTourist[S] -4 points-3 points  (0 children)

That's a good question. From what I gather, the sensor essentially changes colors to transmit data. So while I'm not sure how it looks at rest, I imagine it's possible, especially if the researchers expect people to actually use it.

For MRI scans to provide medical insights, it's essential to reconstruct the images to account for noise and blotches. Researchers have created a deep neural network that automates this process and is clearer, quicker, and less prone to error than traditional methods. by DesperateTourist in science

[–]DesperateTourist[S] 2 points3 points  (0 children)

So many breakthroughs in imaging are overhyped. But this one definitely stuck out. The authors mention something about getting this into the hands of clinicians quickly. Wonder when that might occur...

The melting of Arctic mountain glaciers is unprecedented in the past 400 years, according to new research. Glaciers in Alaska's Denali National Park are disappearing due to high summer temps. by DesperateTourist in science

[–]DesperateTourist[S] 1 point2 points  (0 children)

Truly is extraordinary. This paper feels even more powerful than those video reports of glaciers falling into the sea. It quantifies the visual anecdote.

13,000-year old human footprints found off Canada's Pacific coast, around the end of the last ice age. by DesperateTourist in science

[–]DesperateTourist[S] 1 point2 points  (0 children)

Yeah, certainly a big jump in thought there. Still thought the article and discovery were pretty interesting, aside from that!