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A circular wooden structure with a diameter of 700 metres is under construction off the coast of Japan as part of architect Sou Fujimoto’s masterplan for Expo 2025 Osaka.

Fujimoto is designing the 60,000-square-metre structure to encircle the site of the upcoming World Expo, which will be located on the artificial island Yumeshima in Osaka Bay.

According to the Expo 2025 Osaka organisers, the structure is intended to serve as a symbol of “one sky” and create a “connection” between the participating countries.

Scientists may have made a major breakthrough in the quest to produce limitless energy. According to a new study published in the journal American Chemical Society, scientists are looking deeper at a molecule known as azulene, which is a blue-light emitting molecule that seems to flout the fundamental rules of photochemistry.

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ROCHESTER, Minn. — A recent study based on real-world community patient data confirms the effectiveness of the Pooled Cohort Equation (PCE), developed by the American Heart Association and the American College of Cardiology in 2013. The PCE is used to estimate a person’s 10-year risk of developing clogged arteries, also known as atherosclerosis, and guide heart attack and stroke prevention efforts. Study findings are published in the Journal of the American College of Cardiology.

The new study highlights to patients and clinicians the continued reliability and effectiveness of the PCE as a tool for assessing cardiovascular risk, regardless of statin use to lower cholesterol.

The PCE serves as a shared decision-making tool for a clinician and patient to evaluate their current status in preventing atherosclerotic cardiovascular disease. The calculator considers input in the categories of gender, age, race, total cholesterol, HDL cholesterol, systolic blood pressure, treatment for high blood pressure, diabetes status, and smoking status.

Advances in imaging technologies are giving physicians unprecedented insights into disease states, but fragmented and siloed information technology systems make it difficult to provide the personalized, coordinated care that patients expect.

In the field of medical imaging, health care providers began replacing radiographic films with digital images stored in a picture and archiving communication system (PACS) in the 1980s. As this wave of digitization progressed, individual departments—ranging from cardiology to pathology to nuclear medicine, orthopedics, and beyond—began acquiring their own, distinct IT solutions.

TOKYO, Oct 4 (Reuters) — SoftBank (9984.T) CEO Masayoshi Son said he believes artificial general intelligence (AGI), artificial intelligence that surpasses human intelligence in almost all areas, will be realised within 10 years.

Speaking at the SoftBank World corporate conference, Son said he believes AGI will be ten times more intelligent than the sum total of all human intelligence. He noted the rapid progress in generative AI that he said has already exceeded human intelligence in certain areas.

“It is wrong to say that AI cannot be smarter than humans as it is created by humans,” he said. “AI is now self learning, self training, and self inferencing, just like human beings.”

For more information on liver cancer treatment or #YaleMedicine, visit: https://www.yalemedicine.org/stories/artificial-intelligence-liver-cancer.

With liver cancer on the rise (deaths rose 25% between 2006 and 2015, according to the CDC), doctors and researchers at the Yale Cancer Center are highly focused on finding new and better treatment options. A unique collaboration between Yale Medicine physicians and researchers and biomedical engineers from Yale’s School of Engineering uses artificial intelligence (AI) to pinpoint the specific treatment approach for each patient. First doctors need to understand as much as possible about a particular patient’s cancer. To this end, medical imaging techniques such as computed tomography (CT) and magnetic resonance imaging (MRI) are valuable tools for early detection, accurate diagnosis, and effective treatment of liver cancer. For every patient, physicians need to interpret and analyze these images, along with a multitude of other clinical data points, to make treatment decisions likeliest to lead to a positive outcome. “There’s a lot of data that needs to be considered in terms of making a recommendation on how to manage a patient,” says Jeffrey Pollak, MD, Robert I. White, Jr. Professor of Radiology and Biomedical Imaging. “It can become quite complex.” To help, researchers are developing AI tools to help doctors tackle that vast amount of data. In this video, Julius Chaprio, MD, PhD, explains how collaboration with biomedical engineers like Lawrence Staib, PhD, facilitated the development of specialized AI algorithms that can sift through patient information, recognize important patterns, and streamline the clinical decision-making process. The ultimate goal of this research is to bridge the gap between complex clinical data and patient care. “It’s an advanced tool, just like all the others in the physician’s toolkit,” says Dr. Staib. “But this one is based on algorithms instead of a stethoscope.”

The World Health Organization (WHO) has endorsed a second malaria vaccine to protect children against the deadly disease, which killed 619,000 people in 2021.

Researchers say that the vaccine, known as R21, is easier to make than the first-approved malaria vaccine, called RTS, S, and will be cheaper per dose.

“There’s going to be enough of it to actually give out to children,” says Jackie Cook, a malaria researcher at the London School of Hygiene and Tropical Medicine.