Emirates showcases latest aircraft at Dubai Airshow

Emirates’ latest generation Airbus A380 at the Dubai Airshow is dressed in the blue Expo 2020 livery, representing ‘mobility.’
Updated 20 November 2019

Emirates showcases latest aircraft at Dubai Airshow

Emirates Airline is showcasing its full family of commercial and training aircraft at the 2019 Dubai Airshow, running from Nov. 17 to 21st.
With Expo 2020 Dubai less than a year away, the airline is displaying its latest Airbus A380 and Boeing 777-300ER “mobility” (blue) and “opportunity” (orange) themes of the Expo.
Sheikh Ahmed bin Saeed Al-Maktoum, chairman and chief executive, Emirates Airline and Group, said: “The Dubai Airshow is one of the most important platforms for Emirates to showcase our aircraft, our innovative products and services, and grab international attention around our latest initiatives. As we count down to the UAE’s flagship event, Expo 2020, it is fitting that Emirates is showcasing our aircraft that are helping to promote the world’s greatest show to Dubai Airshow participants and visitors, and the rest of the world closely watching the developments of the event. Our message is clear — we are creating opportunities and enhancing mobility by connecting visitors and participants at Expo 2020 with passenger and cargo links to Dubai to experience this truly global event.”
The Emirates exhibition stand is open to all airshow visitors. Spread across two floors, the stand features a number of Emirates divisions including: Emirates Engineering, Emirates Flight Training Academy, Emirates SkyCargo, Emirates Aviation University, Emirates UAE Sales and Emirates Official Store.
Emirates’ latest Boeing 777-300ER, decorated with the orange “opportunity” Expo 2020 livery, features refreshed cabin interiors fitted with the airline’s signature Game Changer fully enclosed first class private suite, which debuted in 2017 to wide acclaim. This will be the aircraft’s second appearance at the Dubai Airshow. The private suites feature floor-to-ceiling sliding doors and ultra-modern design features. Offering up to 40 square feet of personal space each, these suites include seats that maneuver into multiple positions, including a full recline and a “zero-gravity” state, a multitude of ambient lighting colors, suite climate control, the industry’s first virtual windows, and an innovative video call function, among numerous other features.
Always a popular draw for aviation enthusiasts and trade visitors, Emirates’ latest generation Airbus A380 is dressed in the blue Expo 2020 livery, representing “mobility.”

J-Clinic study identifies powerful new drug

Updated 26 February 2020

J-Clinic study identifies powerful new drug

A powerful new antibiotic compound has been identified by researchers at MIT using a machine-learning algorithm. The drug killed many of the world’s most problematic disease-causing bacteria in laboratory tests, including some strains that are resistant to all known antibiotics. It also cleared infections in two different mouse models.

The computer model, which can screen more than a 100 million chemical compounds in a matter of days, is designed to pick out potential antibiotics that kill bacteria using different mechanisms than those of existing drugs. 

Regina Barzilay and James Collins, who are faculty co-leads for MIT’s Abdul Latif Jameel Clinic for Machine Learning in Health (J-Clinic), are the senior authors of the study, which appears in Cell. The first author of the paper is Jonathan Stokes, a post-doc at MIT and the Broad Institute of MIT and Harvard.

J-Clinic is a key part of the MIT Quest for Intelligence and focuses on developing machine-learning technologies to revolutionize the prevention, detection, and treatment of disease.

In their new study, the researchers also identified several other promising antibiotic candidates, which they plan to test further. They believe the model could also be used to design new drugs, based on what it has learned about chemical structures that enable drugs to kill bacteria.

“The machine-learning model can explore, in silico, large chemical spaces that can be prohibitively expensive for traditional experimental approaches,” said Barzilay, the Delta Electronics professor of electrical engineering and computer science in MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL).

Over the past few decades, very few new antibiotics have been developed, and most of those newly approved antibiotics are slightly different variants of existing drugs. Current methods for screening new antibiotics are often prohibitively costly, require a significant time investment, and are usually limited to a narrow spectrum of chemical diversity.

“We’re facing a growing crisis around antibiotic resistance, and this situation is being generated by both an increasing number of pathogens becoming resistant to existing antibiotics, and an anemic pipeline in the biotech and pharmaceutical industries for new antibiotics,” Collins said.

“The world is in desperate need of new antibiotics to combat dangerous diseases, so it is hugely encouraging that the team at J-Clinic at MIT, has helped make a breakthrough in finding a genuinely new one using machine learning,” said Fady Jameel, Community Jameel president, international. “For decades, Community Jameel has been committed to supporting research that can help improve people’s lives. Combatting the risk from antibiotic-resistant infections, like tuberculosis, could have a profound impact on us all.”

The research was funded and made possible by a number of supporters including the Abdul Latif Jameel Clinic for Machine Learning in Health.