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Mashup Score: 0The false hope of current approaches to explainable artificial intelligence in health care - 1 year(s) ago
The black-box nature of current artificial intelligence (AI) has caused some to question whether AI must be explainable to be used in high-stakes scenarios such as medicine. It has been argued that explainable AI will engender trust with the health-care workforce, provide transparency into the AI decision making process, and potentially mitigate various kinds of bias. In this Viewpoint, we argue…
Source: The Lancet Digital HealthCategories: Future of Medicine, Latest HeadlinesTweet
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Mashup Score: 0EPIWATCH - Home - 1 year(s) ago
If you would like to give feedback on the EPIWATCH website, please complete this short survey. ImagineCOVID detected before it spread worldwide through an early signal for severe pneumonia.The epidemic stopped in its tracks in 2019 and consigned to the archives of rare, serious outbreaks.Our vision is to be the centre of epidemic intelligence for global decision makers and prevent the next…
Source: www.epiwatch.orgCategories: Future of Medicine, Latest HeadlinesTweet-
And that’s a wrap #LancetSummitAI! Thanks to @Globalbiosec for detailing the practical steps to real pandemic preparedness and sharing the success of Epiwatch. Calling all #infectiousdiseases enthusiasts to check out https://t.co/a0UWXCVWML Here's to the next #LancetSummitAI 😊 https://t.co/Zeripay5id
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Mashup Score: 0
Mass surveillance testing can help control outbreaks of infectious diseases such as COVID-19. However, diagnostic test shortages are prevalent globally and continue to occur in the US with the onset of new COVID-19 variants and emerging diseases like monkeypox, demonstrating an unprecedented need for improving our current methods for mass surveillance testing. By targeting surveillance testing…
Source: NatureCategories: Future of Medicine, Latest HeadlinesTweet-
We loved hearing from @drjessilyn about @covidentify using wearables to develop digital biomarkers. Check out her recent work tackling the problem of diagnostic test shortages. @DukeU #LancetSummitAI https://t.co/7GW46LsGku
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Mashup Score: 1Share mobile and social-media data to curb COVID-19 - 1 year(s) ago
Discover the world’s best science and medicine | Nature.com
Source: www.nature.comCategories: Future of Medicine, Latest HeadlinesTweet-
Rachel McKendry taught us a thing or two at #LancetSummitAI about how to develop the perfect rapid #diagnostics test. She reminded us that the technology sector has a responsibility to invest in society by sharing their data. @LondonNanotech@isenseIRC https://t.co/aVqO37liqg
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Mashup Score: 1Translating data in a pandemic - 2 year(s) ago
Executive Summary During the global COVID-19 pandemic, researchers and clinicians have investigated how best to leverage technology and big data to provide virtual clinical care, model the effect of health policies on transmission, identify novel therapeutic treatments, and more. But these efforts have been hampered by challenges to collecting and sharing real-world data…
Source: www.thelancet.comCategories: Future of Medicine, Latest HeadlinesTweet-
Amy Wesolowski @JohnsHopkinsSPH blew us away at #LancetSummitAI with her talk on the multitude of data used to quantify mobility patterns and the spread of disease. Read her recent Series paper on data in a pandemic here https://t.co/cKfYWNmSSr https://t.co/wv7JsCJLrv
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Mashup Score: 0Early epidemiological analysis of the coronavirus disease 2019 outbreak based on crowdsourced data: a population-level observational study - 2 year(s) ago
News reports and social media can help reconstruct the progression of an outbreak and provide detailed patient-level data in the context of a health emergency. The availability of a central physician-oriented social network facilitated the compilation of publicly available COVID-19 data in China. As the outbreak progresses, social media and news reports will probably capture a diminishing…
Source: The Lancet Digital HealthCategories: Future of Medicine, Latest HeadlinesTweet-
What a finale for the first day of #LancetSummitAI! Cécile Viboud @Fogarty_NIH discussed her timely work predicting the risk of a #twindemic and lessons learned from early epidemiological analysis such as this 👇https://t.co/xvtYMAu7Od
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Mashup Score: 1Home - The Lancet Summit: Big data and AI in pandemic preparedness, 27 - 28 October 2022 | Virtual and On-Demand - 2 year(s) ago
The Lancet Summit: Big data and artificial intelligence in pandemic preparedness is supported jointly by The Lancet Digital Health, EBioMedicine, and The Lancet Regional Health – Western Pacific. Managing COVID-19 and infectious disease is a global priority over the next few decades.
Source: www.thelancetsummit.comCategories: Future of Medicine, Latest HeadlinesTweet-
Meet the Editor: Join Dr Meg Mashbat, Senior Editor @eBioMedicine at The Lancet Summit: #BigData and #AI in Pandemic Preparedness, #LancetSummitAI. Online, Oct 27-28. View speakers and register at https://t.co/KxIF8mts5X https://t.co/qCebZrOvih
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Mashup Score: 0Home - The Lancet Summit: Big data and AI in pandemic preparedness, 27 - 28 October 2022 | Virtual and On-Demand - 2 year(s) ago
The Lancet Summit: Big data and artificial intelligence in pandemic preparedness is supported jointly by The Lancet Digital Health, EBioMedicine, and The Lancet Regional Health – Western Pacific. Managing COVID-19 and infectious disease is a global priority over the next few decades.
Source: www.thelancetsummit.comCategories: Future of Medicine, Latest HeadlinesTweet-
Meet the Editor: Join Dr Jie Cai, Editor-in-Chief, @LancetRH_WPac at The Lancet Summit: #BigData and #AI in Pandemic Preparedness, #LancetSummitAI. Online, Oct 27-28. View speakers and register at https://t.co/KxIF8mts5X https://t.co/GJXb3lm78a
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Mashup Score: 0Home - The Lancet Summit: Big data and AI in pandemic preparedness, 27 - 28 October 2022 | Virtual and On-Demand - 2 year(s) ago
The Lancet Summit: Big data and artificial intelligence in pandemic preparedness is supported jointly by The Lancet Digital Health, EBioMedicine, and The Lancet Regional Health – Western Pacific. Managing COVID-19 and infectious disease is a global priority over the next few decades.
Source: www.thelancetsummit.comCategories: General Medicine Journals and Societies, Latest HeadlinesTweet-
If you are attending the #LancetSummitAI later this week, not only will you hear from a great lineup of experts, you can also meet & chat with editors of the Lancet group, including our own @MashbatMeg @Hannah_K_Ralph Register at: https://t.co/7VGJqhPymL https://t.co/D3mBcn9TEN
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Mashup Score: 0Home - The Lancet Summit: Big data and AI in pandemic preparedness, 27 - 28 October 2022 | Virtual and On-Demand - 2 year(s) ago
The Lancet Summit: Big data and artificial intelligence in pandemic preparedness is supported jointly by The Lancet Digital Health, EBioMedicine, and The Lancet Regional Health – Western Pacific. Managing COVID-19 and infectious disease is a global priority over the next few decades.
Source: www.thelancetsummit.comCategories: General Medicine Journals and Societies, Latest HeadlinesTweet-
You can still register for #LancetSummitAI later this week. In addition to a great lineup of experts, you can meet and chat with editors of the Lancet group, including two eBioMedicine editors @MashbatMeg @Hannah_K_Ralph Register at: https://t.co/7VGJqhPymL https://t.co/DOc0IMe65G
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Wow! Fantastic presentation by @BarzilayRegina at #LancetSummitAI on her journey developing AI for drug discovery. Regina shared her thoughts on the challenges of interpretability of AI tools and highlighted this Viewpoint by @MarzyehGhassem and colleagues https://t.co/gEKCjKkfnP