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A group of researchers from the University of Washington has engineered a new AI tool that can identify and design new proteins. This could lead to more efficient vaccines, better cures for cancer, or new materials, according to a report published by MIT Technology Review.

University of Washington scientists have invented an AI tool called ProteinMPNN that allows them to design any proteins they can conceive of. The tool could lead to new cures and new materials.

Continue reading “Protein-designing AI could discover new cures and materials unknown to science” »

‘The way it works is similar to how a robotic arm might reach out and clean a surface.’

The future of dental care could have new robotic allies. A group of researchers from the University of Pennsylvania has developed an automated, hands-free oral hygiene system that adapts to the shape of your teeth.

The researchers claim this system can clean teeth more efficiently than the toothbrush and dental floss, according to an article published by the university in July.

Continue reading “These shape-shifting microrobots can brush and floss your teeth” »

The device costs $60 to make and can be applied in the lab in minutes.

Bluebird Bio Inc.’s gene therapy for a brain-wasting disease received accelerated approval from U.S. regulators, making it the first treatment of its kind for children living with cerebral adrenoleukodystrophy.

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Many organizations lack the technology and architecture required to automate decision-making and create intelligent responses across the supply chain, as has been shown by the past few years’ supply chain disruptions. However, these critical breakdowns can no longer be blamed solely on the COVID-19 pandemic. Rather, they can be blamed on businesses’ slow adoption of automated supply chain decision-making, which has resulted in inventory backlogs, price inflation, shortages and more. Further contributing to backlogs is continued single sourcing to one region rather than leveraging distributed regional capabilities. These factors have added to the complexity of systems and the disadvantages of lack of automation and the pandemic brought these existing critical breakdowns into stark relief.

This brings us to today and how this inability to effectively manage data streams is proving debilitating to many companies. In a Gartner study of more than 400 organizations, 84% of chief supply chain officers reported that they could service their customers better with data-driven insights. An equal number of respondents stated that they needed more accurate data in order to predict future conditions and make better decisions.

There was once a time, not so long ago, when scientists like Casey Holliday needed scalpels, scissors and even their own hands to conduct anatomical research. But now, with recent advances in technology, Holliday and his colleagues at the University of Missouri are using artificial intelligence (AI) to see inside an animal or a person—down to a single muscle fiber—without ever making a cut.

Holliday, an associate professor of pathology and anatomical sciences, said his lab in the MU School of Medicine is one of only a handful of labs in the world currently using this high-tech approach.

AI can teach computer programs to identify a muscle fiber in an image, such as a CAT scan. Then, researchers can use that data to develop detailed 3D computer models of muscles to better understand how they work together in the body for motor control, Holliday said.

Conversational AI is a subset of artificial intelligence (AI) that allows consumers to interact with computer applications as if they were interacting with another human. According to Deloitte, the global conversational AI market is set to grow by 22% between 2022 and 2025 and is estimated to reach $14 billion by 2025.

Providing enhanced language customizations to cater to a highly diverse and vast group of hyper-local audiences, many practical applications of this include financial services, hospital wards and conferences, and can take the form of a translation app or a chatbot. According to Gartner, 70% of white-collar workers purportedly regularly interact with conversational platforms, but this is just a drop in the ocean of what can unfold this decade.

Despite the exciting potential within the AI space, there is one significant hurdle; the data used to train conversational AI models does not adequately account for the subtleties of dialect, language, speech patterns and inflection.

CAR-T therapy has been successful at treating cancer. Now, it’s driven lupus into remission in a handful of patients.