US Scientists Develop Model Which Uses AI To Detect Future Diseases in Ageing Humans

This artificial intelligence model will assess the risk of digestive and respiratory diseases in the human body.

A new study has claimed that artificial intelligence will now be able to detect and predict future diseases. Scientists from the State University of New York, University of Buffalo, have developed a new model, which uses artificial intelligence to ascertain advanced information about serious diseases that occur with ageing. The new research has used the biological process to discover the diseases that occur in the human body.

The research has been published in the Journal of Pharmacokinetics and Pharmacodynamics. In this model, metabolic and cardiovascular (arterial and cardiac) biomarkers will be used. Through the biological process of measuring it, the health status will be ascertained by estimating the cholesterol level, body mass index, glucose and blood pressure in the body.

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How DeepMind’s AI Helped Crack Two Mathematical Puzzles That Stumped Humans for Decades

By Shelly Fan

With his telescope, Galileo gathered a vast trove of observations on celestial objects. With his mind, he found patterns in that universe of data, creating theories on motion and mechanics that paved the way for modern science.

Using AI, DeepMind just gave mathematicians a new telescope.

Working with two teams of mathematicians, DeepMind engineered an algorithmthat can look across different mathematical fields and spot connections that previously escaped the human mind. The AI doesn’t do all the work—when fed sufficient data, it finds patterns. These patterns are then passed on to human mathematicians to guide their intuition and creativity towards new laws of nature.

“I was not expecting to have some of my preconceptions turned on their head,” said Dr. Marc Lackenby at the University of Oxford, one of the scientists collaborating with DeepMind, to Nature, where the study was published.

The AI comes just a few months after DeepMind’s previous triumph in solving a 50-year-old challenge in biology. This is different. For the first time, machine learning is aiming at the core of mathematics—a science for spotting patterns that eventually leads to formally-proven ideas, or theorems, about how our world works. It also emphasized collaboration between machine and man in bridging observations to working theorems.

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Albertsons launches AI-powered grocery cart in local store, aims to merge ‘online and offline’ shopping

A set of Veeve AI-powered cars at the Albertsons store in Eagle, Idaho. Photo: Don Day/BoiseDev

By Don Day

At the Albertsons store in Eagle, shoppers are trying out a new technology that could mark a significant change to the in-store shopping experience: a high-tech cart.

The shopping cart is a fundamental part of the experience of going to the grocery store and has been for decades. But other than a place for little ones to sit, the invention hasn’t changed much over the decades.

Seattle-based startup Veeve and Boise-based Albertsons Companies hope to change that. Albertsons is trialing Veeve’s AI-powered shopping cart, complete with a large iPad-style screen, scale, cameras, and other gadgets designed to transform the shopping experience.

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AI will soon oversee its own data management

By Arthur Cole

AI thrives on data. The more data it can access, and the more accurate and contextual that data is, the better the results will be.

The problem is that the data volumes currently being generated by the global digital footprint are so vast that it would take literally millions, if not billions, of data scientists to crunch it all — and it still would not happen fast enough to make a meaningful impact of AI-driven processes.

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Artificial Intelligence Can Predict New Designer Drugs With 90% Accuracy

It’s like precrime, for psychedelics.

By  Brad Bergan

New drugs are created all the time.

And many are extremely dangerous.

This is why researchers trained computers to predict what designer drugs will emerge onto the scene before they hit the market, according to a recent study published in the journal Nature Machine Intelligence.

With highly-addictive drugs flooding regions throughout the U.S., this program could save countless lives. But it could also unlock an entire “dark matter” world of unknown psychoactive possibilities.

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AI writing tools can tell us a lot about artificial intelligence

By James Vincent 

How would an AI writing program start an article on the future of AI writing? Well, there’s one easy way to find out: I used the best known of these tools, OpenAI’s GPT-3, to do the job for me. 

Using GPT-3 is disarmingly simple. You have a text box to type into and a menu on the side to adjust parameters, like the “temperature” of the response (which essentially equates to randomness). You type, hit enter, and GPT-3 completes what you’ve written, be it poetry, fiction, or code. I tried inputting a simple headline and a few sentences about the topic, and GPT-3 began to fill in the details.

It told me that AI uses “a series of autocomplete-like programs to learn language” and that these programs analyze “the statistical properties of the language” to “make educated guesses based on the words you’ve typed previously.” 

So far, so good, I thought. I hit enter again, and the program added a quote from Google’s head of AI, Jeff Dean, then referenced an experimental piece of software from the 1960s before promising that an “AI Revolution” was coming that would reap immense rewards across the fields of science, technology, and medicine. 



Fujitsu to offer AI-based personalised cancer treatment in Japan

Aichi Cancer Center and Fujitsu jointly developed new AI solution to support physicians in efficiently choosing medical treatment

Aichi Cancer Center and Fujitsu have announced the development of an artificial intelligence (AI) based solution able to select effective medical treatment from a wide range of drugs based on patients’ individual cancer types and various genomic variants.

The effectiveness of the new solution has been verified in clinical trials by physicians at Aichi Cancer Center.

With current cancer genomic medicine in Japan, treatment plans are considered based on the patients’ unique circumstances, including the type of cancer and the actionable genomic variants detected in cancer cells.

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Israeli team says AI platform can predict which drugs are safe, effective

Quris, an artificial intelligence (AI) company operating in the pharmaceutical space, launched this week and announced a $9 million in seed funding.



Chips from Quris’ AI technology.(photo credit: COURTESY QURIS)AdvertisementRobert Langer, the co-founder of Moderna and a lauded MIT professor, said, “We are at the tipping point of the modernization of drug discovery” and that the “Quris platform could be a significant value to pharma companies and the health of society at large.”

Langer is a member of the scientific advisory board of Quris, which officially launched this week and announced $9 million in seed funding to support its efforts.Nobel laureate Aaron Ciechanover is the chairman of the company’s scientific advisory board.

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AI quickly identifies genetic causes of disease in newborns

By Julie Kiefer
An artificial intelligence-based technology rapidly diagnoses rare disorders in critically ill children with high accuracy, according to a report by scientists from University of Utah Health and Fabric Genomics, collaborators on a study led by Rady Children’s Hospital in San Diego. The benchmark finding, published in Genomic Medicine, foreshadows the next phase of medicine, where technology helps clinicians quickly determine the root cause of disease so they can give patients the right treatment sooner.

“This study is an exciting milestone demonstrating how rapid insights from AI-powered decision support technologies have the potential to significantly improve patient care,” says Mark Yandell, co-corresponding author on the paper. Yandell is a professor of human genetics and Edna Benning Presidential Endowed Chair at U of U Health, and a founding scientific advisor to Fabric Genomics.

Worldwide, about 7 million infants are born with serious genetic disorders each year. For these children, life usually begins in intensive care. A handful of NICUs in the U.S., including at U of U Health,are now searching for genetic causes of disease by reading, or sequencing, the 3 billion DNA letters that make up the human genome. While it takes hours to sequence the whole genome, it can take days or weeks of computational and manual analysis to diagnose the illness.

For some infants, that is not fast enough, Yandell says. Understanding the cause of the newborn’s illness is critical for effective treatment. Arriving at a diagnosis within the first 24 to 48 hours after birth gives these patients the best chance to improve their condition. Knowing that speed and accuracy are essential, Yandell’s group worked with Fabric to develop the new Fabric GEM algorithm, which incorporates AI to find DNA errors that lead to disease.

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Mark Cuban-backed Alethea AI is building a metaverse of NFT avatars

Owners can bring their NFTs to Alethea’s “Noah’s Ark” metaverse to give them human-like behaviors.

Just when we were getting our heads around non-fungible tokens—crypto tokens that represent a unique digital asset—they’re now gaining sentience and moving to the metaverse.

Some of the best-known NFTs are unique avatars that people buy and sell, such as those in the CyberPunks series or Bored Ape Yacht Club. But NFTs don’t do much. Now, Alethea AI, a new company backed by entrepreneur and Dallas Mavericks owner Mark Cuban, is wrapping avatars in AI that animates them, giving them conversation skills and knowledge. Collectively, the company calls this the avatar’s “pod” or “soul,” Alethea CEO Arif Khan tells me. Then, these intelligent NFTs, or iNFTs, become something like chatbots that can be owned, trained, or sold. Khan says his company originally used OpenAI’s GPT-3 natural language model to give the NFTs their speech and intelligence, but now uses an AI model it developed in-house.

“It’s a way of giving not only a personality to an avatar but to apply interactivity and to make it extensible,” Cuban said in an email to Fast Company. “You can take Alethea AI and let it grow into almost anything.” One of these NFTs, called “Alice,” already sold for $478,000 on Sotheby’s Natively Digital market in June.

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Avastars And Alethea AI Stage First Conversation Between Intelligent NFTs (iNFTs)

AI Collaboration Proves NFTs Aren’t Just Capable of Communicating Directly with Humans, but Also with Each Other

This week, Avastars, the first fully on-chain profile picture NFT project, collaborated with Alethea AI, creator of the intelligent NFT (iNFT) category, to stage the first conversation between iNFTs.

While Alethea AI’s technology was recently used to generate a conversation between an iNFT and a human, namely Avastar #102, Pandora, and NFT42 Founder Jimmy McNelis, this new collaboration marks the first time that Alethea AI’s technology has been used to enable iNFTs to communicate directly with each other.

Avastars #101, Salvatar, and #102, Pandora, converse with one another in a new collaboration between Avastars and Alethea AI.

Collaboration between Avastars and Alethea AI marks the first conversation between intelligent NFTS (iNFTS.)

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New AI-based Hospital-at-Home Network

Nanowear, a hospital-at-home and remote diagnostic platform informed by proprietary cloth nanotechnology and AI, today announced that it received its third FDA 510(k) clearance and first software-only clearance as an end-to-end digital platform, illustrating unique capabilities available to enterprise customer channels across a broad spectrum of diagnostic and monitoring verticals.

This clearance enables Nanowear to implement standalone AI and deep learning algorithms that will inform remote diagnoses as Software-as-a-Medical Device (SaMD). Future clearances include, but are not limited to, diagnosing or monitoring of hypertension, COPD, sleep apnea, worsening heart failure and post-surgical recovery.

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