These Robots May Help to Prevent Virus Outbreaks in Cities
Mishal Omar — June 10, 2016 — Tech
References: underworlds.mit.edu & dezeen
In a move to help prevent virus outbreaks, architect and MIT professor Carlo Ratti created a robot that can identify and map biological data.
The robot, entitled 'Luigi,' will work by collecting samples from city sewers in order to create a "map of human health from biological data." This map will allow scientists to predict virus and disease outbreaks and prevent them if possible. The robot can be guided through city sewage via an iPhone app and can sample various specimens before being cleaned. Additionally, the robot will be able to show "patterns of drug consumption and help detect problems like antibiotic resistance."
This robot has the potential to benefit medical researchers, doctors and biologists who are working on preventing virus outbreaks. It can also aid addiction specialists and pharmaceutical professionals seeking to detect patterns in drug use.
The robot, entitled 'Luigi,' will work by collecting samples from city sewers in order to create a "map of human health from biological data." This map will allow scientists to predict virus and disease outbreaks and prevent them if possible. The robot can be guided through city sewage via an iPhone app and can sample various specimens before being cleaned. Additionally, the robot will be able to show "patterns of drug consumption and help detect problems like antibiotic resistance."
This robot has the potential to benefit medical researchers, doctors and biologists who are working on preventing virus outbreaks. It can also aid addiction specialists and pharmaceutical professionals seeking to detect patterns in drug use.
Trend Themes
1. Biological Data Mapping - The sewage-sampling robot can create a map of human health from biological data, enabling scientists to predict and prevent virus outbreaks.
2. Predictive Disease Outbreaks - By analyzing samples from city sewers, the robot helps in predicting and preventing future disease outbreaks.
3. Drug Consumption Patterns - The robot can detect patterns of drug consumption in cities, assisting addiction specialists and pharmaceutical professionals.
Industry Implications
1. Medical Research - The robot's ability to map biological data can benefit medical researchers in studying virus outbreaks and disease prevention.
2. Healthcare - Doctors and biologists can utilize the robot to predict and prevent virus outbreaks, improving overall healthcare outcomes.
3. Pharmaceuticals - The robot's detection of drug consumption patterns can help pharmaceutical professionals understand usage trends and tackle issues like antibiotic resistance.
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