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

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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.

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Researchers Achieve Breakthrough in Quantum Simulation of Electron Transfer

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A team at Rice University has achieved a significant breakthrough in simulating molecular electron transfer using a trapped-ion quantum simulator. Their research offers fresh insights into the dynamics of electron transfer and could pave the way for innovations in molecular electronics, renewable energy, and cc.

Electron transfer is a critical process underpinning numerous physical, chemical, and biological phenomena. However, the complexity of quantum interactions has long made it a challenging area to study. Conventional computational techniques often struggle to capture the full range of variables influencing electron transfer.

To address these challenges, the researchers developed a programmable quantum system capable of independently controlling key factors such as donor-acceptor energy gaps, electronic and vibronic couplings, and environmental dissipation. Using ions trapped in an ultra-high vacuum and manipulated by laser light, the team demonstrated real-time spin dynamics and measured electron transfer rates.

“This is the first time that this kind of model has been simulated on a physical device while incorporating the role of the environment and tailoring it in a controlled way,” said Guido Pagano, lead author of the study published in Science Advances.

Pagano added, “It represents a significant leap forward in our ability to use quantum simulators to investigate models and regimes relevant to chemistry and biology. By harnessing the power of quantum simulation, we hope to explore scenarios currently inaccessible to classical computational methods.”

Through precise engineering of tunable dissipation and programmable quantum systems, the researchers explored both adiabatic and nonadiabatic regimes of electron transfer. The experiment not only illuminated how quantum effects function under diverse conditions but also identified optimal parameters for electron transfer.

The team emphasized that their findings bridge a critical gap between theoretical predictions and experimental verification. By offering a tunable framework to investigate quantum processes in complex systems, their work could lead to groundbreaking advancements in renewable energy technologies, molecular electronics, and the development of novel materials.

“This experiment is a promising first step toward understanding how quantum effects influence energy transport, particularly in biological systems like photosynthetic complexes,” said Jose N. Onuchic, study co-author. “The insights gained could inspire the design of more efficient light-harvesting materials.”

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Crew Dragon Mission Delay Extends Astronauts’ Stay on ISS by a Month

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The next mission of SpaceX’s Crew Dragon to the International Space Station (ISS) has been postponed by a month due to delays in completing a new spacecraft. This decision will extend the stay of some astronauts aboard the ISS, including two who have been there since June.

NASA announced on December 17 that the Crew-10 mission, initially scheduled for February, is now set to launch no earlier than late March. The delay stems from the need for additional time to finish the fabrication, assembly, testing, and integration of a new Crew Dragon capsule.

Crafting the New Dragon Capsule

“Fabrication, assembly, testing, and final integration of a new spacecraft is a painstaking endeavor that requires great attention to detail,” said Steve Stich, NASA’s Commercial Crew Program Manager. He commended SpaceX’s efforts to expand the Dragon fleet and the flexibility of the ISS crew in accommodating the delay.

The new Crew Dragon will be the fifth in SpaceX’s lineup of crewed spacecraft, complementing its three cargo Dragon vehicles. According to Sarah Walker, SpaceX’s Dragon Mission Management Director, the spacecraft was near completion as of July and was undergoing final work at SpaceX’s California facility. It is now expected to arrive in Florida for final preparations in January.

While NASA did not specify the exact reasons for the delay, it considered other options, including using an existing Crew Dragon or making adjustments to the launch manifest, before opting for the delay. Existing capsules, including Freedom, currently at the ISS, and Endeavour and Resilience, which recently returned from other missions, were not available for a February launch.

Crew Adjustments and Extended ISS Stay

The Crew-10 mission will proceed with its planned roster: Anne McClain and Nichole Ayers from NASA, Takuya Onishi from JAXA, and Kirill Peskov from Roscosmos.

The delay has implications for the Crew-9 mission, launched in late September with NASA astronaut Nick Hague and Roscosmos cosmonaut Aleksandr Gorbunov. They were joined by NASA astronauts Suni Williams and Butch Wilmore, who have been on the station since June after arriving on Boeing’s CST-100 Starliner.

Originally, Williams and Wilmore were scheduled to stay for just over a week, but their time on the ISS will now extend to about 10 months. NASA had earlier decided to return the uncrewed Starliner to Earth due to concerns with its thrusters.

Despite the delay, NASA emphasizes that Williams and Wilmore are not “stranded” as they can return to Earth in an emergency. Their extended stay is tied to the decision to use the new Crew Dragon for the upcoming mission, as preparing another vehicle was deemed impractical.

Looking Ahead

Assuming the Crew-10 launch proceeds in late March, the Crew-9 spacecraft is expected to return to Earth in early April after a handover period. This delay underscores the complexity of preparing new spacecraft while ensuring the safety and readiness of all missions.

As the new Crew Dragon nears completion, SpaceX and NASA remain focused on maintaining seamless operations aboard the ISS and advancing human space exploration.

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Boeing Starliner crews will have an extended stay on the ISS due to SpaceX’s delay

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NASA said on Tuesday that it has decided to postpone the launch until at least late March because SpaceX’s upcoming crew rotation mission to the ISS would utilize a new Dragon spacecraft that won’t be ready by the initial February launch date.

For the two NASA astronauts who traveled to the ISS last June on Boeing’s troubled Starliner spacecraft, that means an even longer stay. On June 5, they took off from Cape Canaveral, Florida, aboard a United Launch Alliance Atlas V on the first crewed mission of Starliner. They arrived at the ISS one day later for a stay that was only expected to last eight days.

NASA decided to be cautious and maintain Butch Wilmore and Suni Williams aboard the ISS while sending Starliner home without a crew due to issues with the spacecraft’s thrusters and helium leaks on its propulsion module.

In order for Williams and Wilmore to have a trip home, they will now be traveling on the SpaceX Crew Dragon Freedom, which traveled up to the ISS and docked in September, although with only two crew members on board rather than the customary four.

When Crew-10 arrived in late February, the mission’s goal was to take a trip home.

However, NASA confirmed that Crew-10 will not fly with its replacement crew until late March. This allows NASA and SpaceX time to prepare the new Dragon spacecraft, which has not yet been given a name, for the voyage. Early January is when it is anticipated to reach Florida.

“Fabrication, assembly, testing, and final integration of a new spacecraft is a painstaking endeavor that requires great attention to detail,” stated Steve Stich, the program manager for NASA’s Commercial Crew. “We appreciate the hard work by the SpaceX team to expand the Dragon fleet in support of our missions and the flexibility of the station program and expedition crews as we work together to complete the new capsule’s readiness for flight.”

It would be the fifth Dragon spacecraft with a crew. Its fleet of four current Dragon spacecraft has flown 15 times, sending 56 passengers to space, including two who were two-time fliers. The first crewed trip took place in May 2020. Each spacecraft’s name is chosen by the crew on its first flight.

According to NASA, teams considered using the other crew Dragon spacecraft that were available but decided that rescheduling Crew-10’s launch date was the best course of action.

JAXA (Japan Aerospace Exploration Agency) astronaut and mission specialist Takuya Onishi will undertake his second spaceflight, Roscosmos cosmonaut and mission specialist Kirill Peskov will make his first spaceflight, NASA astronaut and commander Anne McClain will make her second spaceflight, and NASA astronaut and pilot Nichole Ayers will become the first member of the 2021 astronaut candidate class to reach space.

Given that Crew-9 won’t be able to return home until a handover period following Crew-10’s arrival, Wilmore and Williams may have to spend nearly nine months aboard as a result of the delay.

Rotations aboard the ISS typically last six months.

It is unclear when and how Starliner will receive its final certification so that it can start trading off the regular ferry service with SpaceX, as NASA’s Commercial Crew Program aims to have two providers for U.S.-based rotation missions with SpaceX and Boeing. This is due to the Crew Flight Test mission’s incomplete launch.

According to the terms of its contract, Boeing must deliver six missions to the ISS before the space station’s service ends, which is presently scheduled for 2030.

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