Connect with us

Science

Ways AI and Data is helping in our Fight with COVID-19

Published

on

Businesses rushing to realign themselves to this emerging reality are searching for innovations to help proceed problems manifested in the aftermath of COVID-19. Data processing proves to be an ally for epidemiologists as they collaborate with data scientists to counter the epidemic’s scale.

The spread of COVID-19 and the public demand for knowledge have spurred the development forward in the new norm of open-source data sets and visualizations, paving the way for a pandemic analytics discipline that we will launch. Analytics is the collection and interpretation of data from multiple fields to extract insights. Pandemic analytics is a new approach to tackle a phenomenon as ancient as humanity itself when used to research and global combat outbreaks: the spread of disease.

To sculpt the correct approach.

John Snow, the father of modern epidemiology, discovered cluster clusters of cholera cases around water pumps in the early 1850s when London fought a rampant increase in cholera cases. For the first time, this breakthrough allowed scientists to exploit data to battle pandemics, guide their efforts to measure the danger, identify the enemy, and formulate an effective response plan.

The Predictive and ability to analyze

The accessibility of information from reputable sources has contributed to the exchange of visualizations and tweets to teach the public without precedent. Take the complex world map created by the Center for Systems Science and Engineering of Johns Hopkins, such as these beautifully basic but enlightening animations from the Washington Post. These visualizations quickly show the public how viruses spread and which human behavior will assist or impede viruses’ spread. The democratization of data and computational resources, along with the vast capacity to exchange information over the internet, has allowed us to see the impressive impact of data being used for good.

In recent months, corporations have launched in-house pandemic data processing to develop their proprietary intelligence. To direct their personnel, clients, and the broader partner community through the ongoing crisis, some of the more enterprising organizations have also set up internal Track & Reply Command Centers.

Early in the epidemic, Oaperg learned that it would require its own COVID-19 response command center. It allows Oaperg data scientists the autonomy to create new and pragmatic ideas for more educated decision making, orchestrated by senior leadership. For example, the application of predictive analytics on the future effect of Oaperg clients and the industries where Oaperg represents them.

We used statistics, control theory, simulation modeling, and natural language processing to enable management to react rapidly during the COVID situation.

The condition to grasp its magnitude quantitatively and qualitatively.

Perform real-time subject modeling through thousands of international health agency publications and reputable news outlets; automate the extraction of quantifiable patterns (alerts) and actionable knowledge related to the position & duty. Build forecasting that can map and estimate directionally when regions vital to Oaperg and its clients will hit peak infection and, conversely, an improvement in recovery rate.

How we respond to matters. As a substitute for the real pandemic, using a statistical model of the scenario and using versatile and realistic variables to construct a multi-dimensional simulation model to deliver a practical forecast tailored to the leader using it.

The early burst of creativity has since matured, and 170 years of accumulated intelligence have demonstrated that the transmission of the disease is interrupted by early interventions. However, research, decision-making, and corresponding intervention can only be successful when all accessible/meaningful data points are first considered.

With machine learning and algorithms, healthcare officials at the Sheba Medical Center in Israel use data-driven planning to maximize the deployment of staff and services in anticipation of future cases. such as reported cases, deaths, test outcomes, touch tracing, population growth, demographics, migration traffic, medical resource supply, and stockpiles of pharmaceuticals.

There is a small silver lining to the viral spread: the exponential development of new evidence that we can benefit from and respond upon. Healthcare practitioners may address questions with the right analytical skills, such as where the next cluster is most likely to occur, which population is most vulnerable, and how the virus may mutate over time.

To Detect, Cure, and Recover

On December 21, 2019, the earliest anomalies linked to what was then considered a mystery pneumonia strain in Wuhan were found by an AI system run by a Toronto-based startup named BlueDot. To identify a resemblance to the 2003 SARS epidemic, the AI system had access to over one million publications in 65 languages. Only nine days later did the WHO alert the general public to the existence of this new threat.

It is a struggle to solve data at scale to build healthcare technologies, and this is where AI will play a key role. To better diagnose the Coronavirus by imaging research, AI technology has also been deployed, reducing the diagnostic time from CT scan findings from around 5 minutes to 20 seconds. AI can help cope with the growing workloads of diagnostics by automation and free up precious money to spend on treating patients.

It is also possible to use AI and ML to speed up the process of pharmaceutical production. Just one AI-developed drug has completed clinical trials in humans so far. But when the system could speed up a method that usually takes years, even the solitary achievement is highly remarkable.

It’s also likely that AI can help reduce drug production periods to mere months or weeks in collaboration with medical researchers. This human-machine synergy in the pharmaceutical room is the need of the hour, with the world still in desperate need of a COVID-19 vaccine months after the first reported death.

Conclusion

It is important to note that technology is nothing but humanity’s collective innovation over time as the planet prepares itself for the effects of the COVID-19 epidemic. With technology, we have the resources required to help us live and defend ourselves. In the coming weeks and months, we do not know what lies in store for us, but we sure can interpret, and draw wisdom from our everyday experience. We have the opportunity to contain and mitigate the effects of illness now and in the future, with the right technologies applied in the right way.

Hannah Barwell is the most renowned for his short stories. She writes stories as well as news related to the technology. She wrote number of books in her five years career. And out of those books she sold around 25 books. She has more experience in online marketing and news writing. Recently she is onboard with Apsters Media as a freelance writer.

Science

Starship is Chosen by Lunar Outpost to Transport the Rover to the Moon

Published

on

For NASA’s possible use, Lunar Outpost has chosen SpaceX’s Starship vehicle to transport the Artemis lunar rover it is developing to the moon.

The Denver-based business revealed on November 21 that it has reached a deal with SpaceX to use Starship to deliver the company’s Lunar Outpost Eagle rover to the moon. Neither the launch date nor any other details of the agreement were disclosed by the companies.

In April, NASA awarded contracts to Lunar Outpost and three other firms for the first phase of the Lunar Terrain Vehicle (LTV) program, which will help construct a rover for future Artemis missions. Each business was given a one-year contract to complete a preliminary design review (PDR) of their rovers. The government will then choose at least one of the companies to continue developing the rover.

Delivering the rover to the moon is the responsibility of the firms under the LTV program, which is set up as a services contract. When NASA no longer needs those rovers, those businesses will be allowed to use them for commercial purposes.

In an interview, Lunar Outpost CEO Justin Cyrus stated that the company chose SpaceX after receiving “great responses” from a number of businesses. He stated, “The reason we chose Starship is their technological maturation, the pace at which they move and the quality of that organization “It’s a vehicle that we think will be able to provide reliable landing on the lunar surface, and we know that they can get it done on the timelines we need.”

Although he did not reveal other vehicles his business investigated alongside Starship, Lunar Outpost developed the rover to be compatible with as many conceivable landing mechanisms as possible. “We need this vehicle to be compatible with multiple different lander providers, so that way we have the optionality, that way we have flexibility, and we can evaluate technical progress over time just to make sure we can derisk our commercial case.”

The team working on the rover is led by Lunar Outpost and consists of Leidos, MDA Space, Goodyear, and General Motors. After Lunar Outpost failed to reach a consensus regarding Lockheed Martin’s involvement in the project, Leidos took over as one of the partners on the “Lunar Dawn” team in September.

NASA astronauts recently drove a rover prototype for human factors testing as part of that team’s busy work to improve the rover’s design. Cyrus stated, “We learned what the astronauts really like and what we can improve upon,” 

In roughly six months, the contract’s first phase will come to an end with a PDR. In order to create the rover and acquire services for the following phase, NASA will then ask Lunar Outpost and the other two grantees, Intuitive Machines and Venturi Astrolab, to submit ideas.

Although Cyrus and other industry professionals are urging NASA to select multiple companies to provide redundancy, as the agency has done in other services programs like the Human Landing System, NASA officials have stated that budget constraints mean they are likely to select only one company for that next phase.

“NASA should pick two. Dissimilar redundancy for something this critical, I think, is the right choice,” he stated.

On November 13, Lunar Outpost revealed that it had raised a Series A round, but Cyrus stated that the business would not reveal the size due to competitive considerations. He said that the money would be used to develop the Lunar Outpost Eagle.

Citing commercial interest from potential clients, he noted that the company intends to continue working on the rover even if it is not chosen for the next stage of NASA’s LTV program. Regarding the funding, he stated, “This allows us to accelerate those plans pretty drastically,” “So, no matter what we’re going to be flying this vehicle on Starship.”

Continue Reading

Science

NASA and SpaceX Highlight Important Aspects of the Artemis cc

Published

on

As part of its Artemis program, NASA is collaborating with American businesses to create the human landing devices that will securely transport humans from lunar orbit to the Moon’s surface and back.

NASA is collaborating with SpaceX to build the company’s Starship Human Landing System (HLS) for Artemis III, the first crewed lunar landing in more than 50 years. In lunar orbit, Starship HLS would dock with NASA’s Orion spacecraft. Two Artemis crew members will then transition from Orion to Starship and descend to the surface, according to recently revised artist’s conceptual renders. Before returning in Starship to Orion, which is waiting in lunar orbit, the astronauts will gather samples, conduct scientific experiments, and examine the Moon’s environment there. SpaceX will conduct an uncrewed landing demonstration mission on the Moon before the crewed Artemis III mission.

In order to achieve a more comprehensive set of requirements for Artemis IV, NASA is also collaborating with SpaceX to further the development of the company’s Starship lander. These specifications include docking with the agency’s Gateway lunar space station for human transfers and putting greater mass on the moon.

In the artist’s idea, SpaceX’s Starship HLS is shown completing a braking burn before landing on the Moon, with two Raptor engines blazing. In order to lower the lander’s velocity before its final drop to the lunar surface, the burn will take place once Starship HLS leaves low lunar orbit.

NASA will learn how to live and work away from home, explore more of the Moon than ever before, and get ready for future human exploration of Mars with Artemis. NASA’s deep space exploration is built on its SLS (Space Launch System) rocket, exploration ground systems, and Orion spacecraft, as well as its human landing system, next-generation spacesuits, Gateway lunar space station, and upcoming rovers.

Continue Reading

Science

Chinese Rover Discovers Signs of Mars’s Ancient Ocean: Study

Published

on

Researchers claim that recently analyzed data from a Chinese investigator on Mars supports the body of evidence showing the planet originally had a massive ocean.

Zhurong is the name of the rover, or exploring vehicle. In 2021, it made its surface landing on Mars. Utopia Planitia is the region where the rover has been functioning. The American space organization NASA says that this region is a sizable plain in the northern hemisphere of Mars.

The scientists integrated information from Zhurong’s equipment with observations from spacecraft and satellites circling Mars. Geological elements that suggested an ancient ocean coastline were found in Utopia Planitia, according to the team’s studies.

Several characteristics, according to the experts, suggested that there was a sizable ocean on Mars billions of years ago. The troughs and channels found on the surface could have been created by water flowing across Mars.

Mud volcanoes, which most likely erupted in regions where there had been water or ice, may have produced them, according to earlier studies that looked at data on comparable surface features.

According to the researchers, the data indicates that both shallow and deep ocean conditions were probably present in the region. The results of a recent study were published in the journal Scientific Reports.

The study was primarily written by Bo Wu. At Hong Kong Polytechnic University, he works as a planetary scientist. According to Wu, “We estimate the flooding of the Utopia Planitia on Mars was approximately 3.68 billion years ago. The ocean surface was likely frozen in a geologically short period.”

On Mars, the hunt for water is closely related to the hunt for potential life. The planet might have once hosted microbial life if there is evidence of a former ocean.

Previous research indicates that Mars formerly had a sizable northern ocean. In 2022, one such study was published. Satellite photos of the Martian surface served as the basis for that study. Detailed maps of the planet’s northern hemisphere were created by combining the pictures. Analyzing the maps revealed indications of coastlines that were previously part of a vast ocean.

Evidence from a different study that was published in August suggested that Mars might have a sizable ocean located far below the surface. NASA’s InSight Lander served as the basis for that proof.

In May 2021, the Zhurong rover from China started gathering data. It ceased operations almost a year later, with mission planners stating that dust and sand probably had an impact on the power system. The rover nevertheless outlived its three-month mission.

According to the researchers, the data indicates that the ocean appears to have vanished approximately 3.42 billion years ago.

According to research co-writer Sergey Krasilnikov, the water that most likely filled the Martian ocean was “heavily silted.” At Hong Kong Polytechnic University, he works as a planetary scientist. Water-borne silt is a mixture of clay and sand that eventually settles on land.

Krasilnikov went on to say that the planet “…probably had a thick, warm atmosphere” when the Martian ocean would have been active.” “Microbial life was much more likely at that time,” he stated.

The latest discoveries do “provide further evidence to support the theory of a Martian ocean,” according to Wu of Hong Kong Polytechnic.

The study does “not claim that our findings definitively prove” that there was an ocean on Mars, he told the French news agency AFP. According to him, such evidence would probably necessitate a further trip to return items from Mars to Earth for additional analysis.

Continue Reading

Trending

error: Content is protected !!