McMaster researchers have uncovered a fast and effective way to detect cancer stem cells before the disease recurs in adults who previously underwent treatment.
Singapore: A research paper, published in iScience, has decribed the development of a deep learning model for predicting hip fractures on pelvic radiographs (Xrays), even with the presence of metallic implants.
Yet Yen Yan of Changi General Hospital and colleagues at the Duke-NUS Medical School, Singapore, and colleagues developed the AI (artificial intelligence) algorithm using more than fortythousand pelvic radiographs from a single institution. The model demonstrated high specificity and sensitivity when applied to a test set of emergency department (ED) radiographs.
This study approximates the realworld application of a deep learning fracture detection model by including radiographs with suboptimal image quality, other nonhip fractures and meta llic implants, which were excluded from prior published work. The research team also explored the effect of ethnicity on model performance, and the accuracy of visualization algorithm for fracture localization.
Sweden: A recent study published in the journal Circulation has revealed a link between the levels of certain bacteria living in the gut and coronary atherosclerotic plaques. The Swedish study was led by researchers at Uppsala and Lund University.
Atherosclerotic plaques are formed by the build-up of fatty and cholesterol deposits and constitute a major cause of heart attacks.
The new study was based on analyses of gut bacteria and cardiac imaging among 8,973 participants aged 50 to 65 from Uppsala and Malmö without previously known heart disease. They were all participants in the Swedish CArdioPulmonary bioImage Study (SCAPIS).
Scientists have used CRISPR gene editing to reduce the lignin content in poplar trees by as much as 50%, offering a potentially more sustainable and efficient method of fibre production.
CRISPR-modified poplar trees (left) and wild poplar trees (right), growing in a North Carolina State University greenhouse. Credit: Chenmin Yang, NCSU
Lignin is a complex organic polymer that is integral to the structure of cell walls in many types of plants, especially in wood and bark. It acts as a type of binder in these walls, giving wood its hardness and resistance to rot. Lignin is the second most abundant natural polymer in the world, next to cellulose, and makes up between 15% and 25% of the composition of wood.
Science and Technology:
Hope that they find a medicine to cure aging and turn us immortal and able to live forever still during “our” lifetime.
Insilico Medicine, a clinical stage generative artificial intelligence (AI)-driven drug discovery company, today announced that it combined two rapidly developing technologies, quantum computing and generative AI, to explore lead candidate discovery in drug development and successfully demonstrated the potential advantages of quantum generative adversarial networks in generative chemistry.
The study, published in the Journal of Chemical Information and Modeling, was led by Insilico’s Taiwan and UAE centers which focus on pioneering and constructing breakthrough methods and engines with rapidly developing technologies—including generative AI and quantum computing —to accelerate drug discovery and development.
The research was supported by University of Toronto Acceleration Consortium director Alán Aspuru-Guzik, Ph.D., and scientists from the Hon Hai (Foxconn) Research Institute.
In today’s column, I am going to identify and explain the momentous pairing of both generative AI and data science. These two realms are each monumental in their own respective ways, thus they are worthy of rapt attention on a standalone basis individually. On top of that, when you connect the dots and bring them together as a working partnership, you have to admire and anticipate big changes that will arise, especially as the two fields collaboratively reinvent data strategies all told.
This is entirely tangible and real-world, not merely something abstract or obtuse.
I will first do a quick overview of generative AI. If you are already versed in generative AI, perhaps do a fast skim on this portion.
Foundations Of Generative AI
Generative AI is the latest and hottest form of AI and has caught our collective devout attention for being seemingly fluent in undertaking online interactive dialoguing and producing essays that appear to be composed by the human hand. In brief, generative AI makes use of complex mathematical and computational pattern-matching that can mimic human compositions by having been data-trained on the text and other content found on the Internet. For my detailed elaboration on how this works see the link here.
The project is expected to be completed by 2026 and could help meet multiple energy demands.
China has completed a significant step toward establishing the world’s first commercial onshore small modular reactor. It has finished the installation of the core module of the reactor that it began building in 2021, the South China Morning Post.
With a power generation capacity of not more than 300 MW, small modular reactors (SMR) are believed to be the future of nuclear fission reactors. The advanced nuclear reactor design allows the power plant to be scaled down and established in remote locations that cannot be connected to the grid.
Searching through a database of 1.6 billion license plate records collected over the last two years from locations across New York State, the AI determined that Zayas’ car was on a journey typical of a drug trafficker. According to a Department of Justice prosecutor filing, it made nine trips from Massachusetts to different parts of New York between October 2020 and August 2021 following routes known to be used by narcotics pushers and for conspicuously short stays. So on March 10 last year, Westchester PD pulled him over and searched his car, finding 112 grams of crack cocaine, a semiautomatic pistol and $34,000 in cash inside, according to court documents. A year later, Zayas pleaded guilty to a drug trafficking charge.
“With no judicial oversight this type of system operates at the caprice of every officer with access to it.” Ben Gold, lawyer
The researchers believe this will help build a more predictive model to prevent future incidents of dangerous clear air turbulence.
Besides poor visibility, icing, and bird, mid-flight turbulence is one of the most common causes of aircraft accidents.
Clear air turbulence (CAT) is a truly significant aviation hazard. It’s invisible, mostly cloud-free, hard to predict, and the most dangerous type of turbulence. It can be caused by jet streams, gravity waves, or cumulus clouds.
With millions of patients under its belt, digital health startup K Health is looking to scale its artificial intelligence technology in hospitals, starting with new strategic investor Cedars-Sinai.
The problem with turning to the internet.
With a new $59 million investment, digital health startup K Health is looking to scale its AI technology in hospitals, starting with new strategic investor Cedars-Sinai.