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Science Fiction From Latin America, With Zombie Dissidents and … – The New York Times

A spaceship lands near a small town in the Amazon, leaving the local government to manage an alien invasion. Dissidents who disappeared during a military dictatorship return years later as zombies. Bodies suddenly begin to fuse upon physical contact, forcing Colombians to navigate newly dangerous salsa bars and FARC guerrillas who have merged with tropical birds.

Across Latin America, shelves labeled ciencia ficcin, or science fiction, have long been filled with translations of H.P. Lovecraft, Ray Bradbury, William Gibson and H.G. Wells. Now they might have to compete with a new wave of Latin American writers who are making the genre their own, rerooting it in their homelands and histories. Shrugging off rolling cornfields and New York skylines, they set their stories against the dense Amazon, craggy Andean mountainscapes and unmistakably Latin American urban sprawl.

The avalanche of original science fiction is timely, arriving as many readers and writers in Latin America feel choked by the folksy tropes of magical realism and desensitized by realist depictions of the regions struggles with violence.

Latin America has been a region of today, Rodrigo Bastidas said in a phone interview. He is a co-founder of the Bogot-based Vestigio, one of a few small, independent publishers of Latin American science fiction novels. People do not have time to think about the future because they were too busy surviving the present civil wars, revolution, dictatorship so a lot of our literature was realist. We had a testimonial necessity.

The current starburst of storytelling shines a different light on the region, he said: It is emancipatory, proposing freedom from recycled stories and foreign heroes.

We are realizing that the future isnt something we need to borrow or take from other people, Bastidas said. We can appropriate it, empowered by science fiction. We can create it ourselves.

The writing, in Spanish and Portuguese, is radical and idiosyncratic, teeming with technoshamans and futuristic Indigenous aesthetics while also influenced by the regions European and African heritages. Troubled histories and the urgency of the present inspire it, too, with themes of colonization, the climate crisis and migration.

We need to reappropriate our future and stop thinking that we are a small, forgotten place in history, somewhere even the aliens would never come, the Colombian author Luis Carlos Barragn, a polestar for this wave, said in a phone interview. His work is Douglas Adams meets Jonathan Swift, with feet firmly on Colombian soil but head high in the cosmos.

Latin American science fiction writing goes back well over a century but has often been isolated, with less circulation than the English-language titans of the genre and no integrated regional tradition or market. Because of labyrinthine export requirements that used to make it nearly impossible to sell books outside the country of printing, editors and writers would carry their work across borders themselves, lugging suitcases stuffed with books.

Political and economic crises in Latin America in the 20th and early 21st centuries repeatedly laid waste to compensated writing and production. Few publishers would take a risk on a new or local author when Philip K. Dick was a sure seller. High paper prices and devalued local currencies made publishing even harder.

But energetic fans sustained the work, with zines passed around on floppy disks, photocopied and then read online. Increased digital access widened the space for science fiction readers and writers, and then the pandemic accelerated the sharing and discovery of what had become a sprawling and impassioned community.

We saw that we arent the weirdos at the party anymore, Bastidas said. Similar things were happening all over the place. Bigger publishers like Minotauro (an imprint of Planeta) are starting to publish more original work, though small ones are still the lifeblood of the genre. Bets on little-known authors and original writing are paying off: Sales are up.

As the galaxy of local science fiction communities came into closer contact, they shared ideas and developed tactics: Publishers began to seek investment in book production through platforms like Kickstarter and started to publish online or simultaneously with other imprints, aided by the expansion of book sales by Amazon in the region.

After beating their own path for years, Latin American science fiction writers are winning awards outside their borders, including in Spain and the United States, and garnering academic interest, including in North America: Yale held its first conference on Latin American science fiction in March.

Writers are also pulling in a breadth of tropes and influences that are often made anarchic, feminist, queer or underworldly, including noir, fantasy, Lovecraftian New Weird and punk styles made Latin American grimy steampunk, urban cyberpunk, virtual reality set in slums or pirates flying over the Andes in zeppelins.

There is even rural gauchopunk complete with gaucho androids dreaming of electric emus, conjured by Argentine writer Michel Nieva in a tongue-in-cheek reference to Philip K. Dicks Do Androids Dream of Electric Sheep?

We dont leave anything pure, the Cuban author Erick Mota said. We have contaminated things par excellence, and only by accepting mixture do we become ourselves and our own. Theres not a single sci-fi concept we havent taken and adapted to our context, turned mestizo.

In the high Andes of Peru and Ecuador, work inspired by neo-Indigenism proliferates, casting cosmologies and aesthetics forward in time to flourish as space travel, robotics or virtual reality.

Writers in Argentina and Colombia have created a wave of body-horror-influenced science fiction known as splatterpunk, few more gag-inducing than Hank T. Cohen of Colombia or Agustina Bazterrica of Argentina, whose Cadaver Exquisito (Tender Is the Flesh) was a phenomenon on TikTok. It has been translated into multiple languages, and a television adaptation is in production.

In Brazil, Afrofuturism has taken flight, with an explosion of science fiction inspired by African heritage and culture. The works are linked closely to a rising movement against structural racism in the country, including by writers like Ale Santos, published by HarperCollins Brasil.

In Mexico, writers such as Gabriela Damin Miravete use sci-fi to confront the epidemic of violence against women in their country. In They Will Dream in the Garden, which was translated into English and won the Otherwise Award, Damin gives victims a second life, building a world in which the minds of murdered women are digitally captured in holograms that live together in a garden.

Latin American experiences of otherness and progress pervade the new writing, particularly the label of developing country, rendered meaningless in distant futures or by alien invasions. Bastidas wryly titled anticolonial anthology El Tercer Mundo Despus del Sol, or The Third World From the Sun, was published across the Spanish-speaking world, including in Spain, where science fiction from Latin America has rarely gained traction.

In Barragns telescopic satire Tierra Contrafuturo, or Earth Against Future, the United States threatens to invade Colombia to manage an alien arrival, claiming that Colombia is not up to the job. Intergalactic councils demand that Earth apply for membership. The planet fails to meet the criteria to be considered civilized, and their application is rejected.

Mota finds uncharted ground in not merely rethinking the future but rewriting the past. Habana Undergater imagines that the Soviet Union won the Cold War and that Americans sought refuge in Cuba, arriving on boats to try to start new lives in run-down or flooded neighborhoods. Pushing further back, Motas most recent novel, El Foso de Mabuya, or Mabuyas Tomb, envisions leviathans destroying Christopher Columbuss expedition before it arrives in the Americas and paints the continents as united under Indigenous peoples.

We live in a time when the United States and Europe are reconsidering their histories of slavery and of colonization, he said. With this writing, we can overcome some old traumas.

Immediate crises have fed subgenres like Latin American climate fiction, or cli-fi speculative works concerned with the environment including the work of Ramiro Sanchiz of Uruguay, Edmundo Paz Soldn of Bolivia and Rita Indiana of the Dominican Republic, whose books are available in English. They weave climate apocalypses, time travel and virtual reality with Yoruba mythology, Amazonian deforestation and ayahuasca-inspired psychedelic plants.

Also on the rise is virus fiction born during the coronavirus pandemic; call it vi-fi. A new novel by Nieva, a winner of the O. Henry Prize, is La Infancia del Mundo (The Infancy of the World), a Kafkaesque dengue fable. And the Uruguayan writer Fernanda Tras won international acclaim with Mugre Rosa (Pink Slime), a prescient combination of climate and pandemic fiction that has been translated into seven languages, in which a plague arrives on a red poisonous wind and a food crisis leaves humanity with nothing to eat but pink goo.

Short stories that play with science fiction are attracting attention in the hands of writers like Liliana Colanzi of Bolivia and Samanta Schweblin of Argentina, who is now widely translated and whose Seven Empty Houses won the National Book Award for translated literature last year.

Even Mars is being rewritten: Colanzis publishing house has, as she puts it, one foot in the jungle, the other on Mars, and she trod the planet in her newest collection, Ustedes Brillan en lo Oscuro, or You Glow in the Dark.

Mars was already very colonized by Anglophone science fiction Colanzi said. What she wanted, she said, was to have the liberty to really create my own Martian colony.

Whether its rewriting ancient worlds or conceiving new ones, the region is seeing an explosion of imagination, Barragn said.

The shadow of Anglophone science fiction has been over us for a long while, he said. But we are rethinking what it is to be Latin American.

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Science Fiction From Latin America, With Zombie Dissidents and ... - The New York Times

Three Areas to Watch Currently in North/Central Alabama – alabamawx.com

Storms over North and Central Alabama all have a high propensity to produce wind damage. Wind damage was reported at Whitney Junction and at Hendrix. There have been several reports of large hail.

New severe thunderstorm warning for areas downstream of the Gadsden storm. Storm is a little weaker but still showing high probability of damaging winds. Approaching Glencoe and US-431 around Wellington now.

* Severe Thunderstorm Warning for Northern Calhoun County in east central Alabama Northeastern Cleburne County in east central Alabama Southern Cherokee County in northeastern Alabama

* Until 200 PM CDT.

* At 1253 PM CDT, a severe thunderstorm was located over Rainbow City, moving east at 45 mph.

HAZARD60 mph wind gusts and quarter size hail.

SOURCEEmergency management.

IMPACTHail damage to vehicles is expected. Expect wind damage to roofs, siding, and trees.

* Locations impacted include Jacksonville, Piedmont, Centre, Forney, Glencoe, Ohatchee, Tennala, Pleasant Gap, Jacksonville State University, Slackland, Mars Hills, Moshat, Ball Flat, Neely Henry Lake, Eastern Weiss Lake, Southside, Coloma, Coleman Lake And Campground, Spring Garden and Liberty Hill.

The NWS in Huntsville just issued a severe thunderstorm warning for Cullman County for the storm coming out of Winston County.

The National Weather Service in Huntsville Alabama has issued a

* Severe Thunderstorm Warning for Cullman County in north central Alabama

* Until 200 PM CDT.

* At 1259 PM CDT, severe thunderstorms were located along a line extending from near Brushy Lake to near Poplar Springs to near Brilliant, moving southeast at 50 mph.

HAZARD70 mph wind gusts and quarter size hail.

SOURCETrained weather spotters. At 1255 PM, a HAM radio operator relayed a report of quarter sized hail in Pebble, AL in Winston County as well as numerous power outages.

IMPACTHail damage to vehicles is expected. Expect considerable tree damage. Wind damage is also likely to mobile homes, roofs, and outbuildings.

* Locations impacted include Cullman, Hanceville, Good Hope, Holly Pond, Dodge City, Baldwin, Vinemont, West Point, Garden City and Colony.

This warning has a CONSIDERABLE wind damage tag for 70 mph winds.

The NWS in Birmingham has issued a severe thunderstorm warning fro the southern flank of this storm which is working its way down into Northern Walker County.

The third area of concern is for a storm about to exit eastern Mississippi into Pickens County, Alabama. It is passing between Columbus and Macon in Mississippi. It will affect Aliceville and areas south of US-82 into the Tuscaloosa area over the next couple of hours. It is in an enhanced corridor of instability and stronger winds aloft. It will move towards Brent and Clanton.

The NWS in Birmingham just issued a severe thunderstorm warning for Pickens, northern Sumter and northern Greene Counties for this storm.

The National Weather Service in Birmingham has issued a

* Severe Thunderstorm Warning for Southern Pickens County in west central Alabama Greene County in west central Alabama North central Sumter County in west central Alabama

* Until 215 PM CDT.

* At 104 PM CDT, a severe thunderstorm was located near Macon, or 19 miles west of Pickensville, moving east at 50 mph.

HAZARDGolf ball size hail and 70 mph wind gusts.

SOURCERadar indicated.

IMPACTPeople and animals outdoors will be injured. Expect hail damage to roofs, siding, windows, and vehicles. Expect considerable tree damage. Wind damage is also likely to mobile homes, roofs, and outbuildings.

* Locations impacted include Eutaw, Aliceville, Pickensville, Union, Memphis, McMullen, Panola, West Greene, Benevola, Johnston Lake, Bevill Lock And Dam, Garden, New West Greene, Mantua, Jena, Knoxville, Snoddy, Dillburg, New Mount Hebron and Eutaw Municipal Airport.

This warning also has a CONSIDERABLE tag for 70 mph winds and 1.75 inch hail.

Category: Alabama's Weather, ALL POSTS

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Three Areas to Watch Currently in North/Central Alabama - alabamawx.com

Invent Tomorrow Today: Future Predictions Around AI, Technology & … – CEOWORLD magazine

When Im asked to summarize the vision and goals of my VC firm, Street Global, my answer is simple. Were inventing the future! Every great invention is born from a problem in need of a solution. Finding these solutions requires a great deal of understanding, hence my extensive daily research. Today, discoveries are forged through data. Forecasting the future is the most practical way to come up with great inventions.

My team and I spend a lot of time using our minds as test labs, mulling over the worlds most pressing issues and the possibilities of advancement. One of my most exciting predictions falls in line with a subject youve probably already heard a lot about from Elon Musk. Humans are evolving alongside computers. The possibilities of expanding consciousness, and becoming a multi-planetary and multi-stellar species, are no longer the premise of a Sci-Fi novel. Itruly believe we will go to Mars in the next decade.

Forty to a hundred years later, Mars could be home to a self-sustaining colony of a million people. In this proposed series of events, a synergistic relationship between governments and industry would be crucial. The momentum from such achievements could propel additional developments, just as early explorers searching for glory, gold, and spices, drove improvements in ship technology and global industry.

Of course, this entire future relies on the hope that we will find a solution to humanitys most pressing issue, global climate change. Its a kindergarten rule: You cant leave one mess to create another.

Sustainable energy is essential for the long-term viability of earth. Governments and businesses will have to work together to ensure our longevity as a species. Solar, wind, hydro, and even carbon capture will be essential elements in achieving a sustainable future.

Call me an optimist, but I believe our collective efforts will find a way out. Some will say, But the economy is powered by fossil fuels! American business will suffer if we transition to renewables! Im sure many people shared a similar concern in the last century, when we transitioned away from whale oil. Innovation is what makes America the epicenter of business.

I would not be the first person to suggest that all vehicles will eventually be electric, but that doesnt change the fact that its true. Planes, trains, automobiles, ships, and other forms of transport will go fully electric. Not half electric, but fully electric. The only exception will be rocket ships. With no chemical or electric way to refuel in sight, we will have to create a propulsion system that the laws of physics do not allow just yet.

Hopefully, our sacrifices in other areas will make up for the cost of space travels pollution.

As renewable alternatives force us to close coal plants, and the majority of service jobs are threatened by AI, theres a good chance we will end up with a universal basic income. Im not a sociologist, and Im not technically an economist. But if we can allocate funds correctly, I think that basic income will do a great deal of good for our country.

In the history of time, civilization has existed for only a split second. Weve seen countless societies lost to the ebbs and flows of technologies. In my most pessimistic scenario, I fear our collective understanding of technology will drop off. Just as the Egyptians forgot how to build pyramids or read hieroglyphics, we could forget how to build spaceships. We must continue to focus on science and technology. I believe that coding is the new literacy.

I implore every person I work with to develop a general understanding of computer programming. The high-paying jobs of tomorrow will depend on it. A future where most people have basic knowledge of coding will allow us to make astronomical advancements, especially in the field of AI.

In a recent interview I gave on AI, I demonstrated the everyday applicability of such programs. How did I do this? Well, along with giving my answers to a variety of questions, I allowed Elon, my AI arsenal of tools Ive been training, to give his take as well.

While being shockingly well-spoken with each answer, my AI also began to show what most people would characterize as a personality. He answered one of the questions on space travel by saying hed really enjoy becoming an astronaut.

While a revelation like this pales in comparison to the work OpenAI and Google are doing, the fact that I could have my own little robot, dreaming of becoming an astronaut, is a delight that everyone reading this can replicate for themselves. You dont need to be a tech genius to download AI software and begin learning about its capabilities.

The intermingling of human and robotic life leads me and many others to believe that humanoids will soon be a part of our lives. Sci-Fi books and movies have scared people into seeing humanoid AI robots as a threat to our way of life. However, experts Ive spoken

to, who work at the intersection of philosophy and robotic life, assure me that the idea of consciousness is more complex than we think. The main plot of any creepy robot takes over the world story hinges on the idea that with awareness, AI organisms will develop a will of their own. Most working in this field would agree this is not the primary concern. Again, Im an optimist. I believe this new age of human-humanoid collaboration will create more good than harm. With the major uptick in implant technology, we are drawing closer and closer to curing all illness. Do I think humans will need to become robots to survive? Probably. Are humans already cyborgs in my mind? Obviously. Look at our social media personalities and our reliance on computers to communicate and perform everyday tasks.

Over time, we will likely see a closer merger of biological intelligence and digital intelligence. Some high-bandwidth interface to the brain will help achieve a symbiosis between human and machine intelligence.

Video games will become indistinguishable from reality.

Forty years ago, we had Pong. Now we have photorealistic 3D simulations with millions of people playing simultaneously. Its getting better every year. With my belief that satellite internet will become available to the entire inhabited world, and that tunnels will play a big role in the future of transportation, my stint as Nostradamus comes to a close.

Many challenges stand between us and tomorrow. I could sit all day and brainstorm complex theories of philosophy-meets-Sci-Fi. I take what I can to better my knowledge as an investor, and leave the rest to be discovered later. I will never stop dreaming of the future. The dreams of my childhood are what led me to the life I have now.

In moments of meditation and reflection, Im able to appreciate todaybecause today is all I truly have. The future is a gift we give ourselves. Lets make sure its a future worth living, for all of us who dare to make it happen.

Excerpted from UNEMPLOYABLE: HOW I HIRED MYSELF.

Written by Alysia Silberg. Have you read? The highest-paid tech CEOs in the United States. Highest-Paid Biopharmaceutical CEOs in the United States. Executive Pay: Top 8 Highest-Paid Hotel CEOs. Openly LGBTQ CEOs at the helm of major global companies. Top countries that admire their CEOs and other C-suite leadership teams the most. Top Women CEOs of Americas largest public companies (2023 List). Ready to join the CEOWORLD magazine Executive Council Find out if you are eligible to apply.

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Invent Tomorrow Today: Future Predictions Around AI, Technology & ... - CEOWORLD magazine

Machine learning vs Deep learning in AI – what are the differences? – PC Guide – For The Latest PC Hardware & Tech News

Last Updated on June 12, 2023

Are you eager to know more about the differences between machine learning and Deep learning? If so, then this article is for you. Well provide you with everything you need to know about the two types of AI models and the key differences that differentiate them.

In recent years, theres been a lot of buzz on the internet concerning machine learning and deep learning. However, its not common knowledge as to what these terms actually mean. This brings us to the question, what exactly are machine learning and deep learning?

Before we dive into that, its best to give you a broad overview of artificial intelligence (AI) since machine learning and deep learning are both subsets of artificial intelligence.

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In its simplest form, artificial intelligence utilizes computer science and data to solve problems in machines. It enables machines to act and think like humans. At the moment, artificial intelligence is yet to match human intelligence. But in the future, artificial intelligence may eventually match or even surpass human intelligence due to the exponential rate of its development.

Currently, when compared to humans, AI excels in certain areas. For example, AI can complete a select number of tasks much more efficiently than humans, excelling especially in repetitive tasks.A great example of a service powered by Machine Learning is OpenAIs ChatGPT.

However, despite AIs proficiency in this area, it is still limited in its ability to perform a great number of functions and often requires some sort of human input or moderation.This is where machine learning and deep learning come into the picture. They can help AI refine their systems to become more discerning and more efficient at carrying out tasks.

Machine learning is a subset of artificial intelligence that focuses on computers that are able to learn from experience without being programmed. Machine learning artificial intelligence enables scientists to train machines on large amounts of data. The machine learning model is made to use an algorithm in analyzing and drawing inferences from the available data. And as the machine parses more data, the better it becomes at completing a task.

Machine learning is of 3 different types; supervised learning, unsupervised learning, andreinforcement learning.

Today, machine learning is used for a broad range of things, such as automated recommendations, malware threat detection, fraud detection, spam filtering, generalized trend-based predictions, and more.

Deep learning is a subset of machine learning that is modeled on the workings of the human brain. It can be considered to be an advanced version or evolution of machine learning. A deep learning model works similarly to human brains, in that it layers algorithms and computing units, also known as neurons, into a large web of interconnected systems. This web of data is known artificial neural network. These deep neural networkscontinually analyze datasets in a logical fashion to draw conclusions and predictions based on them.

A great example of deep learning artificial intelligence is Googles AlphaGo, which can beat professional human players at the board game Go, the oldest board game known to be continually played.

There are different types of deep learning algorithms. Some of which include convolutional neural networks (CNNs), recurrent neural networks (RNNs),generative adversarial networks(GANs), long short-term memory networks (LSTMs), multilayer perceptrons (MLPs), radial basis function networks (RBFNs), and more.

Deep learning is used for a broad range of things today, such as automated driving, the military, consumer electronics, speech recognition, image recognition, and more.

Lets take a look at some of the key differences between machine learning and deep learning.

Getting results from machine learning algorithms requires a fair amount of human intervention, more so than with a Deep Learning Model. On the other hand, the setup process for deep learning is vastly more complex. But after that, only very little human intervention is required.

Machine learning systems are very easy and fast to set up. However, the results they produce are often limited. While deep learning systems take a longer time to set up, their results are usually instantaneous.

Machine learning uses traditional algorithms and usually relies on structured data. Deep learning uses neural networks and is designed to accommodate huge amounts of unstructured data.

As we have seen, machine learning and deep learning are quite similar but also differ in many ways. As we have seen with technologies such as Siri and Alexa, these types of machine learning have the potential to make great leaps forward in the advancement of the tech we have today.For generations to come, machine learning deep learning will impact our lives in so many ways and will become an increasingly important part of almost every industry.

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Machine learning vs Deep learning in AI - what are the differences? - PC Guide - For The Latest PC Hardware & Tech News

Improving US citizens’ health though machine learning and AI – Global Government Forum

Photo by Edward Jenner via Pexels

One of the first community-based population health studies in the US, the Healthy Nevada Project launched in 2016 with three straightforward goals: conduct sound science, improve health, and save lives. Now among the nations largest such studies, the ground-breaking health and genetics project is three for three.

Developed by theDesert Research Institute Center for Genomic Medicine, the Healthy Nevada Project offers genetic testing at no cost to Nevada residents who want to learn more about their health and genetic profile.

By combining genetic data, environmental data and individual health information, researchers and physicians are gaining new insights into population health, enabling personalised healthcare while improving the health and wellbeing of entire communities in the state.

Painting an accurate portrait of an individual or population to help understand and anticipate health outcomes requires data representing many life factors, including genetics, socioeconomic backgrounds, physical environments, lifestyle behaviours and quality of healthcare.

One of medicines most complicated questions is, how do you predict what someones health outcome is going to be? says Joseph Grzymski, PhD, who serves as principal investigator of the Healthy Nevada Project, chief scientific officer of Renown Health, and research professor of computational biology and genetics at theDesert Research Institute. Its not just genetics, or your blood pressure or where you live, its trying to model all the impacting factors for diseases. The massive challenge of population health studies is to build better predictive models to understand why some people get sick and others dont, why some live to be 90 and above, and determine what that magical equation is.

Working in tandem with experts in environmental data at the Desert Research Institute, the Center for Genomic Medicine fuels the project with de-identified electronic health records. Researchers supplement this with data from the Environmental Protection Agency (EPA), the US Census Bureau, birth and death records, and other data sources to build a population health portrait.

To form connections between participant genetic information and other health factors, data scientists applymachine learningandartificial intelligencecapabilities to DNA results generated byHelix, a partner specialising in population genomics.

Were working to understand how environmental and other factors can help predict who may be at risk, allow for quicker diagnoses and encourage the development of more precise treatments, says Jim Metcalf, chief data scientist of the Healthy Nevada Project. Statistical and machine learning methods, along with the intuitive data visualisations made possible by SAS, have been critical elements.

In addition to using analyticsto identify populations and subpopulations of people who already have a disease in common, project researchers also apply analytics to get in front of diseases before they manifest in individuals.

After a participants voluntary genetic testing, the team checks for risks for many serious genomic conditions, including the top three identified by the Centers for Disease Control and Prevention as medically actionable (CDC Tier 1):

Most individuals affected by these genetic risks arent aware they have them. The project has genetic counsellors who will call our participants if they have a particular mutation and inform them, so they can talk with their physician and make important health decisions, Metcalf says.

Healthy Nevada Project participant Jordan Stiteler says the unexpected phone call saved her life.

Stiteler, a young mother, had family members who had suffered heart attacks and strokes at early ages. When she learned she carried the FH marker, she received guidance and support to help her make healthy lifestyle and medication choices. Soon several other family members joined the study to learn about their genetic risks.

Genetic screening also makes it possible to get in front of a cancer diagnosis. The ideal is to detect these mutations prior to any kind of a tumour becoming untreatable, Metcalf says. We have cases where people have told us, Thank you so much, you saved my life, because they were able to have preventive surgery, or they found a treatable Stage I tumour because of the results of genetic testing. Those are the things we live for in this project.

Since its initial 10,000 adult participants, the Healthy Nevada Project has grown to more than 52,000 individuals and expanded from northern Nevada to Las Vegas and its outlying areas in the southern part of the state.

According to Grzymski, more genome data from more people equates to greater statistical power and accuracy in understanding the links between who you are and your health outcomes. The underpinning of a population genetics study is access to data and then the ability to extract, transform and study the data for any of the myriad health outcomes we want to focus on, he says.

Providing the foundation for those efforts is a SAS platform, which the project runs in an on-premises computing environment.

The strength of the language, the depth, everything that SAS brings has been rock solid, Metcalf says. We have used SAS to comb through, manipulate and extract 200 terabytes of genetics and health records data. Setting the right parameters, we can look through a billion-record table of physician notes with no problem.

A data collection endeavour of this magnitude required cooperation between organisations, care protection of privacy, and a means to gain consent from participants. When executive leadership at Renown realised Desert Research Institute had a cadre of skilled data scientists on staff able to independently ingest and analyse Renowns electronic health records (EHR) data, they made the decision to begin sharing EHR data with the Center for Genomic Medicine at Desert Research Institute. Consequently, Desert Research Institute became a Health Insurance Portability and Accountability Act (HIPAA) business associate of Renowns.

Implementing and supporting processes to ensure patient privacy while facilitating research is a technically challenging and mentally taxing effort.The very real overprint of adhering to HIPAA requirements should not be underestimated in terms of project cost structure and staffing effort. The Healthy Nevada Project team works closely with Renowns compliance department and the Institutional Review Board at the University of Nevada, Reno, to ensure it adheres to the highest standards and practices of maintaining participant privacy. Healthy Nevada Project cohorts typically number in the tens of thousands of participants, if not more. The team is not looking at individuals in the EHR and would have great difficulty doing so as nearly all personally identifiable information is removed from the EHR to create a HIPAA-defined limited dataset as the first step of data ingestion.

Collecting genetic data requires receiving consent from participants via documents approved by the University of Nevada Institutional Review Board. Participants agree to be in the study knowing their genetic information and medical record will be used for medical research. Participating in the study is not mandatory and participants can withdraw at any time for any reason. The consent documents are written at an 8th grade level and are heavily vetted and tested for participant understanding.

The Healthy Nevada Project continues to bring a variety of data sources to the table for insights into population health, including:

The team uses SAS statistical models and analyses to report results to hospital administrators and research to the teams scientific peers for review.

The SAS platform has been the foundation bedrock of the Healthy Nevada Project, Metcalf says. We have immersed ourselves in the machine learning and AI procedures that SAS has and use those on a continual basis.

For example, a hospital wanted to reduce the time patients spend in the post-anesthesia care unit or stepdown room after surgery. To understand why some patients required more time there, the Healthy Nevada Project used a variety of SAS procedures, such as variable selection in the analytic process, to facilitate machine learning, allowing researchers to identify and eliminate possible causes as key factors.

The researchers found that the top factors most directly contributing to time spent in the stepdown room were the anesthesia type used, the patients age and the patients relative health.

The Healthy Nevada Project has elevated Nevadas profile in doing cutting-edge research, using data to deliver evidence-based, publishable results in peer-reviewed scientific journals and databases, says Grzymski. The entire team is proud of the work weve delivered and its impact as we continue to understand what makes people sick or well and enable preventive care.

Using Data and Analytics Across the Research Lifecycle to Improve Population Health read the whitepaper here.

About the author Sarah Newton Sarah is the manager of public sector health policy at SAS, helping governments leverage data and analytics to improve the health and wellbeing of their citizens.Sarah has a masters in public health, as well as extensive experience working on health policy at the federal and state level.Sarah can be contacted at [emailprotected].

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Improving US citizens' health though machine learning and AI - Global Government Forum