Baidu link virus.How coronavirus is accelerating a future with autonomous vehicles
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Unpredictable and rapidly spreading, the Covid coronavirus has travelled from its earlier concentration in China to reach more than countries, infecting over , people and causing upwards of 4, deaths thus far. Given its worldwide impact, the World Health Organization last month declared the coronavirus a global health emergency.
In comparison to the last major outbreak of the SARS virus in , those fighting this particular epidemic can leverage new and emerging technologies that quickly aid public health bodies in creating a valuable understanding of the coronavirus, guiding prevention efforts, augmenting human aid and support efforts, and facilitating virus research. Prompted by the urgent need to contain Covid, government agencies and private companies around the world are increasingly looking toward AI-based techniques to provide insight on its spread and support treatment for those who have been infected.
However, this virus is particularly challenging because it belongs to a family of enveloped coronaviruses that contain single-strand RNA structures. Similar to other double-stranded viruses including HIV, Ebola, Influenza, and others, Covid is capable of rapidly mutating, making vaccine development and virus analysis difficult.
To support the research, Baidu has made its Linearfold algorithm available to scientific and medical teams fighting the outbreak. Analyzing the secondary structural changes between homologous RNA virus sequences such as bats and humans can provide scientists with further insight into how viruses spread across species. Due to the recent outbreak, Baidu AI scientists have used this algorithm to predict the secondary structure prediction for the Covid RNA sequence, reducing overall analysis time from 55 minutes to 27 seconds, meaning it is times faster.
Recent studies show that the secondary structure of messenger RNA mRNA , an RNA version that instructs cells to make proteins, is correlated to its functional half-life and has an impact on protein translation. Access to quick viral structural analysis can significantly shorten the time it takes to design a potential mRNA vaccine with higher stability and better effectiveness, providing an opportunity to save thousands of lives. Along with opening the Linearfold algorithm to the broader community, Baidu collaborates with health and academic institutions to share computation resources, provide customized support, and help optimize mRNA vaccine design.
As the virus continues to spread, it is becoming increasingly important to provide quick monitoring tools, particularly in high-traffic public spaces such as transportation hubs, to effectively quarantine and reduce the spread of the coronavirus. Baidu has developed several tools that are effective in building awareness and screening populations, including an AI-powered, non-contact infrared sensor system that provides users with fast multi-person temperature monitoring that can quickly detect a person if they are suspected of having a fever, one of the many symptoms of the coronavirus.
The model boasts a classification accuracy of A CT scan of the chest is recognized as the primary diagnostic tool for pneumonia, a common effect of Covid With limited front-line doctor resources to read an exponentially growing number of scans, fast and accurate CT imaging technology is critical to help clinicians detect and monitor the infections more effectively. The AI model can quickly detect and identify pneumonic lesions while providing quantitative assessment for diagnosis information, including the number, volume, and proportion of pneumonic lesions.
By leveraging PaddlePaddle and the semantic segmentation toolkit PaddleSeg, LinkingMed has developed an AI-powered pneumonia screening and lesion detection system, putting it into use in the hospital affiliated with XiangNan University in Hunan Province. In addition, many vulnerable populations are in areas with limited medical resources, making online access to care essential.
Automated telecommunication services can also be used to share valuable information about the coronavirus to the public while tracking potential spread from a local perspective.
As an example of how this has been applied to the coronavirus threat, Baidu has developed an intelligent robocall platform that has made over three million automated phone calls—1, calls in one second—requesting people voluntarily provide their recent travel history, close contacts, and current health conditions.
Health commissions, provincial centers for disease control, and neighboring committees are able to use this platform to track the spread of the coronavirus across specific regions and promote medical preparedness from a local perspective.
AI and big data can be used to better understand key events and locations related to the coronavirus, pinpoint its origin, and measure the rate of spread. Such techniques can include using AI-powered data analytics to pull insights from online behavior such as online search queries and social media conversations to identify signals from a specific population that can provide insight as to the movement of the coronavirus. This initial alert spurred more detailed reports from other agencies including a warning from the Program for Monitoring Emerging Diseases ProMed , a well-established volunteer-led organization, just half an hour after the first warning.
Autonomous vehicles are playing a useful role in providing access to necessary commodities for health-care professionals and the public alike by delivering goods in infected areas and disinfecting hospitals, effectively minimizing person-to-person transmission and alleviating the shortage of medical staff.
With daily deliveries, this initiative is helping feed over frontline staff members as they work to treat their growing patient base. Baidu Apollo has also made its low-speed driverless micro-car kits and autonomous driving cloud services available for free to companies dedicated to fighting the coronavirus. AI technology offers a versatile range of functions, allowing us to deeply understand and predict the evolution of the coronavirus, providing rapid insights to influence public perception, expediting the development of potential vaccines, and offering aid to those infected as well as the thousands of medical professionals committed to fighting it.
This outbreak has also showcased the scale and power of digital connectivity: People across the globe are building networks, sharing information, and collaborating online at a scale that is unprecedented in the history of viral epidemics. Skip to Content. This content was produced by Baidu. Safe and effective screening in real time As the virus continues to spread, it is becoming increasingly important to provide quick monitoring tools, particularly in high-traffic public spaces such as transportation hubs, to effectively quarantine and reduce the spread of the coronavirus.
Automating and operationalizing health-care access A CT scan of the chest is recognized as the primary diagnostic tool for pneumonia, a common effect of Covid Using big data to track viral impact AI and big data can be used to better understand key events and locations related to the coronavirus, pinpoint its origin, and measure the rate of spread. Latest content View more.