(September 19, 2025)
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(September 19, 2025)
Access Nature and 54 other Nature Portfolio journals
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(September 18, 2025)
[Introduction] AI writing the „code of life“ has become a reality! Today, Stanford University has joined forces with the Arc Institute to make a significant move. Using the bacteriophage ΊX174 as a template, AI has generated a genome for the first time. Among them, 16 successfully targeted Escherichia coli and can even combat drug-resistant bacteria. This can be regarded as the „ChatGPT moment“ in the field of life sciences.
(14.01.2021)
The peer reviewed study was published in the European Journal of Clinical Investigation on January 5, and analyzed coronavirus case growth in 10 countries in early 2020.
The study compared cases in England, France, Germany, Iran, Italy, Netherlands, Spain and the U.S. â all countries that implemented mandatory lockdown orders and business closures â to South Korea and Sweden, which instituted less severe, voluntary responses. It aimed to analyze the effect that less restrictive or more restrictive measures had on changing individual behavior and curbing the transmission of the virus.
(12.01.2021)
FĂŒr die Wirksamkeit von Lockdowns zur EindĂ€mmung von Epidemien, die Reduktion von Infektionszahlen und/oder TodesfĂ€llen, hat es nie eine Evidenz gegeben. Inzwischen liegen ĂŒber 20 Studien zur weltweiten Irrelevanz von Lockdowns in Hinblick aufs Infektionsgeschehen vor, welche die pcr-gestĂŒtzten offiziellen Zahlen dabei nicht in Frage stellen. Zur jĂŒngsten gehört eine Studie der Stanford-University, die am 5. Januar von der Zeitschrift âEuropean Journal of Clinical Investigationâ zur Publikation akzeptiert wurde und an der u.a. John Ioannidis mitgewirkt hat. Sie kommt zum Schluss, dass Stay at home-Pflicht und GeschĂ€ftsschlieĂungen keinen signifikanten Effekt auf den Anstieg der Infektionszahlen haben.
(released 05.01.2021)
Conclusions: While small benefits cannot be excluded, we do not find significant benefits on case growth of more restrictive NPIs. Similar reductions in case growth may be achievable with less restrictive interventions.
„The problem with epidemiologists is that they feel their job is to frighten people into lockdown.
„So you say ‚there‘s going to be a million deaths‘ and when there are only 25,000 you say ‚it‘s good you listened to my advice‘.“
Michael Levitt, a professor at Stanford University who correctly predicted the initial magnitude of the pandemic, suggested that the decision to keep people inside was motivated by âpanicâ rather than better science.
Professor Levitt also said that the modeling that led the government to impose the foreclosure â done by Professor Neil Ferguson â had overestimated the number of deaths by â10 or 12 timesâ.
(11.04.2020)
A hundred deaths out of 48,000-81,000 infections corresponds to an infection fatality rate of 0.12-0.2%. If antibodies take longer than 3 days to appear, if the average duration from case identification to death is less than 3 weeks, or if the epidemic wave haspeaked and growth in deaths is less than 6% daily, then the infection fatality rate would be lower.
(22.04.2020)
The two antibody surveys, led by researchers at Stanford University and the University of Southern California, are the largest conducted in the US to date.
(11.04.2020)
A hundred deaths out of 48,000-81,000 infections corresponds to an infection fatality rate of 0.12-0.2%. If antibodies take longer than 3 days to appear, if the average duration from case identification to death is less than 3 weeks, or if the epidemic wave haspeaked and growth in deaths is less than 6% daily, then the infection fatality rate would be lower.
Five key facts are being ignored by those calling for continuing the near-total lockdown.
Fact 1: The overwhelming majority of people do not have any significant risk of dying from COVID-19.
The recent Stanford University antibody study now estimates that the fatality rate if infected is likely 0.1 to 0.2 percent, a risk far lower than previous World Health Organization estimates that were 20 to 30 times higher and that motivated isolation policies.