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Nations want to collaborate on the creation of next-gen tools that shape new global rules on data use

dpa-AFX Börsentag auf einen Blick: Etwas tiefer erwartet 08.07.2021, 07:32 Uhr | dpa-AFX FRANKFURT (dpa-AFX) DEUTSCHLAND: - OHNE KLAREN TREND - Nach dem starken Vortag dürfte der Dax am Donnerstag zunächst wieder etwas nachgeben. Der Broker IG taxierte den deutschen Leitindex rund zwei Stunden vor dem Handelsbeginn 0,2 Prozent tiefer auf 15 666 Punkte. Seit Wochen pendelt der Dax ohne klaren Trend um seine seitwärts verlaufende 21-Tage-Linie. Das Barometer für den kurzfristigen Trend steht aktuell bei 15 615 Punkten. Das Rekordhoch von Mitte Juni bei 15 802 Punkten bleibt jedoch in...

Share this article Share this article ResearchAndMarkets.com's offering. This new, qualitative report provides an in-depth analysis across the complex, multi-step clinical genomics data process (which includes genomic data generation, data flow, and data warehousing), clinical genomics data solution providers, market trends, technologies impacting clinical genomics applications development, clinical genomics adoption challenges, and detailed challenges & needs analysis as identified in discussions with clinical end-users. The report is unique, in that it is not a predictive market research re...

Perrine Janiaud, PhD; Cathrine Axfors, MD, PhD; Andreas M. Schmitt, MD; Viktoria Gloy, PhD; Fahim Ebrahimi, MD, MSc; Matthias Hepprich, MD; Emily R. Smith, ScD, MPH; Noah A. Haber, ScD; Nina Khanna, MD; David Moher, PhD; Steven N. Goodman, MD, PhD; John P. A. Ioannidis, MD, DSc; Lars G. Hemkens, MD, MPH In this issue of JAMA, Janiaud et al 1 present a meta-analysis of randomized clinical trials (RCTs) of convalescent plasma for the treatment of patients with COVID-19. Based on an analysis of 1060 patients from 4 RCTs published in peer-reviewed journals and 10 722 ...

4x-image / Getty Images In my August 2020 article, “How to choose a cloud machine learning platform,” my first guideline for choosing a platform was, “Be close to your data.” Keeping the code near the data is necessary to keep the latency low, since the speed of light limits transmission speeds. After all, machine learning — especially deep learning — tends to go through all your data multiple times (each time through is called an epoch). I said at the time that the ideal case for very large data sets is to build the model where the data already resides, so that no...