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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New Artificial Intelligence Tool Accelerates Discovery of Truly New Materials

The new artificial intelligence tool has already led to the discovery of four new materials.

Researchers at the University of Liverpool have created a collaborative artificial intelligence tool that reduces the time and effort required to discover truly new materials.

Reported in the journal Nature Communications, the new tool has already led to the discovery of four new materials including a new family of solid state materials that conduct lithium. Such solid electrolytes will be key to the development of solid state batteries offering longer range and increased safety for electric vehicles. Further promising materials are in development.

The tool brings together artificial intelligence with human knowledge to prioritize those parts of unexplored chemical space where new functional materials are most likely to be found.

Discovering new functional materials is a high-risk, complex, and often long journey as there is an infinite space of possible materials accessible by combining all of the elements in the periodic table, and it is not known where new materials exist.

The new AI tool was developed by a team of researchers from the University of Liverpool’s Department of Chemistry and Materials Innovation Factory, led by Professor Matt Rosseinsky, to address this challenge.

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The Unlimited Potential Of AI In Genomic Diagnostics


Genomic diagnostic is an area that can benefit hugely from the capabilities of AI. The involvement of AI in healthcare can potentially be beneficial in genetic diagnostics.

Ironically, rare diseases are fairly common in the world, with nearly half a billion people suffering from some or the other kind of lesser-known ailments. Such diseases can be notoriously tricky to diagnose as standard clinical tests may not uncover several underlying details regarding them. Additionally, almost all rare diseases are caused due to genetic issues in individuals. So, fast and accurate gene-based ailment diagnostics is the need of the hour in healthcare today. However, according to a study, such diseases can take nearly five years on average to be diagnosed accurately, meaning that almost a third of the children suffering from one or the other type of rare genetic disorder will pass away before they even turn five.

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Swift Medical Launches AI Digital Wound App to Support Clinical Trials

by Jasmine Pennic 

What You Should Know:

Global digital wound care provider Swift Medical, today announced the launch of a new application specifically designed to help pharma and med device researchers conduct decentralized clinical trials. Since patients are now doing more trials at home, study coordinators have had trouble tracking skin side effects remotely — or trusting patients to conduct adequate analysis and recording on themselves.

– Swift Medical’s first product, Swift Skin and Wound, provides an AI-powered, digital wound platform that allows any patient or clinician to easily capture high-precision images of skin or wound conditions with any smartphone camera. Swift Skin and Wound autonomously determines clinical characteristics, tracks disease progression, enables remote communication, and securely shares patient data in real-time.

To date, Swift Medical’s technology is used by more than 4,000 healthcare organizations internationally, including health systems and providers of all kinds, academic institutions, research organizations and pharmaceutical companies.

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by Satavisa Pati

At present, AI is being used in almost every industry on earth and now it’s time for it to go to space. Russia’s new space station will operate autonomously to a large extent, using artificial intelligence as well as include extravehicular robots. The system aims to demonstrate the intelligence of the highest level. The Roscosmos (a state corporation of the Russian federation) chief has added that robotics should be used aboard Russia’s new orbital station. The new orbital outpost in conjunction with the Zeus nuclear-powered space tug can serve as a prototype for future systems of lengthy inter-planetary flights, he said.

The agency aims to develop the new space station with a higher efficiency factor than that of the current International Space Station (ISS). In April, Russian Deputy Prime Minister Yuri Borisov announced that the condition of the ISS left much to be desired and Russia might focus on creating its own orbital outpost. The country wants to make a station whose efficiency factor will be several orders of magnitude higher than that of the ISS.