Étiquette : health (Page 2 of 4)

Using AI to help find answers to common skin conditions

19 mai 2021 / noflux

“To make sure we’re building for everyone, our model accounts for factors like age, sex, race and skin types — from pale skin that does not tan to brown skin that rarely burns. We developed and fine-tuned our model with de-identified data encompassing around 65,000 images and case data of diagnosed skin conditions, millions of curated skin concern images and thousands of examples of healthy skin — all across different demographics. Recently, the AI model that powers our tool successfully passed clinical validation, and the tool has been CE marked as a Class I medical device in the EU.”

Source : Using AI to help find answers to common skin conditions

5 décembre 2020 / noflux

“The policies are significantly stronger than Facebook’s typical rules against misinformation, under which false claims are marked as such and suppressed by the curation algorithms, but are not removed from Facebook and Instagram entirely. The distinction, the company said, was because misinformation about Covid and Covid vaccinations “could lead to imminent physical harm”.”
The topic has a personal connection for the Facebook founder and chief executive, Mark Zuckerberg. His philanthropic organisation, the Chan Zuckerberg Initiative, has embarked on a flagship effort to “cure all disease”, with a number of avenues of research being pursued, including a specific focus on vaccinations, through the Chan Zuckerberg Biohub.

Source : Facebook to remove false claims about Covid vaccines | Technology | The Guardian

StopCovid ou encore ? – Cédric O

3 mai 2020 / noflux

Le choix, selon Cédric O !

“Le choix est donc très simple : tant que l’immunité collective n’est pas atteinte (ce qui est un horizon lointain), l’alternative se résume ainsi :
1. Tout faire pour couper les « départs de feu » le plus rapidement possible, y compris en utilisant des outils numériques comme StopCovid, dans des conditions très encadrées et proportionnées (et dans un contexte où l’ensemble des pays européens prévoient de déployer de tels outils) ;
2. Refuser ces outils pour des raisons philosophiques, mais dans ce cas accepter un risque significatif de malades et de morts supplémentaires.”

Source : StopCovid ou encore ? – Cédric O – Medium

4 avril 2020 / noflux

“Les mesures de surveillance, via nos usages des technologies, que suggèrent nos gouvernants relèvent en réalité d’une stratégie pour détourner notre attention de la cause réelle du problème que constitue l’abandon de l’hôpital public. Ils tablent sur la culpabilisation des citoyens désireux d’agir pour faire adopter des outils toujours plus intrusifs et évitent soigneusement de mettre en lumière les multiples réseaux de solidarité qui se forment, les besoins criants des associations pour aider les plus précaires, les multiples critiques de notre mode de vie qui émergent même des plus libéraux. Plutôt que d’assumer les conséquences désastreuses d’une politique de santé défaillante, leur diversion consiste à inverser les rôles, à nous faire passer, nous, pour ceux qui refuseront d’aider les autres. Comme si nous devions être coupable de vouloir protéger notre vie privée, d’exprimer notre colère, ou simplement de suggérer des alternatives. ”

Source : Urgence partout, État nul part – La Quadrature du Net

20 mars 2020 / noflux

“This phylogeny shows evolutionary relationships of hCoV-19 (or SARS-CoV-2) viruses from the ongoing novel coronavirus COVID-19 pandemic. This phylogeny shows an initial emergence in Wuhan, China, in Nov-Dec 2019 followed by sustained human-to-human transmission leading to sampled infections. Although the genetic relationships among sampled viruses are quite clear, there is considerable uncertainty surrounding estimates of transmission dates and in reconstruction of geographic spread. Please be aware that specific inferred transmission patterns are only a hypothesis.”

Source : Nextstrain / ncov

20 mars 2020 / noflux

“We are not epidemiologists—we are the design, engineering, and support teams at a mapping company. Just as we don’t spend every moment thinking about how to track and slow the spread of infectious disease, most public health teams we work with are not experts in spatial data visualization. In the environment of a growing epidemic, maps have a way of spreading fast, too — making it imperative that they are accurate, informative, and thoughtfully designed. To answer common questions and help our partners make thoughtful design decisions while mapping this and other health crises, we have put together a number of best practices and common pitfalls to avoid.”

Source : 7 best practices for mapping a pandemic – Points of interest

19 mars 2020 / noflux

“We’re exploring ways that aggregated anonymized location information could help in the fight against COVID-19. One example could be helping health authorities determine the impact of social distancing, similar to the way we show popular restaurant times and traffic patterns in Google Maps”

Source : Location data gathered by Facebook, Google, other tech companies could be used to battle coronavirus spread – The Washington Post

18 mars 2020 / noflux

“A medical device manufacturer has threatened to sue a group of volunteers in Italy that 3D printed a valve used for life-saving coronavirus treatments. The valve typically costs about $11,000 from the medical device manufacturer, but the volunteers were able to print replicas for about $1”

Source : Medical company threatens to sue volunteers that 3D-printed valves for life-saving coronavirus treatments – The Verge

25 février 2020 / noflux

MIT researchers used a machine-learning algorithm to identify a drug called halicin that kills many strains of bacteria. Halicin (top row) prevented the development of antibiotic resistance in E. coli, while ciprofloxacin (bottom row) did not.

“Using a machine-learning algorithm, MIT researchers have identified a powerful new antibiotic compound. In laboratory tests, the drug killed many of the world’s most problematic disease-causing bacteria, including some strains that are resistant to all known antibiotics. It also cleared infections in two different mouse models. The computer model, which can screen more than a hundred million chemical compounds in a matter of days, is designed to pick out potential antibiotics that kill bacteria using different mechanisms than those of existing drugs.”

Source : Artificial intelligence yields new antibiotic | MIT News

20 février 2020 / noflux

“A pop-up would appear, asking about a patient’s level of pain. Then, a drop-down menu would list treatments ranging from a referral to a pain specialist to a prescription for an opioid painkiller. Click a button, and the program would create a treatment plan. From 2016 to spring 2019, the alert went off about 230 million times. The tool existed thanks to a secret deal. Its maker, a software company called Practice Fusion, was paid by a major opioid manufacturer to design it in an effort to boost prescriptions for addictive pain pills — even though overdose deaths had almost tripled during the previous 15 years, creating a public-health disaster. The software was used by tens of thousands of doctors’ offices.”

Source : In secret deal with drugmaker, health-records tool pushed opioids – Los Angeles Times

Étiquette : health (Page 2 of 4)

Using AI to help find answers to common skin conditions

StopCovid ou encore ? – Cédric O

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