Artificial intelligence (AI) has proved to be a useful ally in the battle against antibiotic resistance. A powerful antibiotic that's even able to kill superbugs has been discovered thanks to a machine-learning algorithm Researchers from MIT used a novel computer algorithm to sift through a vast digital archive of over 100 million chemical compounds and spot those that were able to kill bacteria using different mechanisms from existing drugs. Reported in the journal Cell, this method highlighted a molecule that appeared to possess some truly remarkable antibiotic properties. The team named the molecule halicin, a hat tip to the sentient AI system "Hal" from Stanley Kubrick's film 2001: A Space Odyssey. When tested in mice, halicin was able to effectively treat tuberculosis and drug-resistant Enterobacteriaceae, the family of bacteria that includes E. coli and Salmonella.
Years before smart homes became a thing, I replaced all the switches in our house with computerized switches. At first, it was just a way to add wall switches without pulling new wire. Over time, I got more ambitious. The system runs a timer routine when it detects no one is home, turns on the basement light when you open the door, and lights up rooms in succession on well-worn paths such as bedroom to kitchen. Other members of the family are less enthusiastic. A light might fail to turn on or might go out for lack of motion, or maybe for lack of any discernible reason. The house seems to have a mind of its own.
Artificial intelligence-powered technologies are increasingly being used to help contain the novel coronavirus outbreak in China, with several tech companies tweaking their facial recognition algorithms to identify people who are wearing masks. Enterprises that use facial recognition for access control and attendance system needed to make the tweaks as traditional algorithms may not be sufficient for recognition. For, masks used by the employees often cover some features of the face. Beijing-based tech company Hanwang Technology Co Ltd has upgraded its core algorithm and introduced a new facial recognition system for those who wear masks. Huang Lei, vice-president of the company, said Hanwang Tech took just a month to develop the upgraded version.
The use of artificial intelligence is now the norm in many industries, from integrating the technology in autonomous vehicles for safety, to AI algorithms being used to improve advertising campaigns. But, by using it in healthcare, could it also help us predict the outbreak of a virus such as the COVID-19 coronavirus? Since the first cases were seen at the end of December 2019, coronavirus has spread from Wuhan, China, to 34 countries around the world, with more than 80,000 cases recorded. A hospital was built in 10 days to provide the 1,000 beds needed for those who had fallen victim to the virus in Wuhan – 97 per cent of cases reported are in China. The World Health Organisation (WHO) has said the world should prepare for a global coronavirus pandemic.
This molecule, which the researchers decided to call halicin, after the fictional artificial intelligence system from "2001: A Space Odyssey," has been previously investigated as possible diabetes drug. The researchers tested it against dozens of bacterial strains isolated from patients and grown in lab dishes, and found that it was able to kill many that are resistant to treatment, including Clostridium difficile, Acinetobacter baumannii, and Mycobacterium tuberculosis. The drug worked against every species that they tested, with the exception of Pseudomonas aeruginosa, a difficult-to-treat lung pathogen.
Zhongnan Hospital of Wuhan University in Wuhan, China, is at the heart of the outbreak of Covid-19, the disease caused by the new coronavirus SARS-CoV-2 that has shut down cities in China, South Korea, Iran, and Italy. That's forced the hospital to become a testbed for how quickly a modern medical center can adapt to a new infectious disease epidemic. One experiment is underway in Zhongnan's radiology department, where staff are using artificial intelligence software to detect visual signs of the pneumonia associated with Covid-19 on lung CT scan images. Haibo Xu, professor and chair of radiology at Zhongnan Hospital, says the software helps overworked staff screen patients and prioritize those most likely to have Covid-19 for further examination and testing. He emailed WIRED an audio file of himself answering a reporter's questions about the project and answered other questions by email.
Able to monitor multiple patients in separate rooms simultaneously; staying on top of their blood pressure, pulse and vital signs; and spotting signs of deterioration even before the patients feel it themselves. This medical superhero is not human, but rather a product of artificial intelligence, advanced software algorithms, sensors and cameras. And it's being assembled right now at Tel Aviv Sourasky Medical Center. The creation of an AI-powered "super nurse" is the result of a decade of steady work by Ahuva Weiss-Meilik and her team in the hospital's I-Medata center. "Our doctors and nurses can't be everywhere," Weiss-Meilik tells ISRAEL21c.
Chinese companies specialising in facial recognition have upgraded the technology to identify people wearing masks in the wake of the coronavirus outbreak. Chinese company SenseTime, described as'the most valuable AI startup in the world' and worth at least $4.5billion, is one of several firms improving its facial recognition to ensure a person cna be identified without them taking off their mask. Instead of relying on having to see a person's mouth, the system is able to learn a person's identify from just their eyes and upper nose region of their face. People around the world are increasingly opting to wear medical masks and even respirators to prevent catching the potentially fatal COVID-19. The disease has claimed the lives of more than 2,700 people around the world and infected a total of around 80,000.