An image of the eretmorhipis carrolldongi [Photo provided to chinadaily.com.cn] Chinese paleontologists in Hubei province have recently uncovered fossils of a prehistoric marine reptile that closely resembles the modern duck-billed platypus. Two new specimens of the reptile discovered reveal that the animal, eretmorhipis carrolldongi, lived about 248 million years ago and showed similar hunting methods to today's platypus by using its bill made of cartilage. The animal, about 70 centimeters long, also had a small head, tiny eyes, four flippers for swimming and a long, rigid body with triangular bony blades protruding from the back. The specimens represent the oldest record of reptiles and mammals with extremely reduced visual capacity and used non-visual cues for prey detection, according to the paper published in Nature in January. silicone bandssilicone wristband usb flash drivecolor-filled-wristbandembossed-wristbandsilicone wristbandsembossed printed wristbandcamo silicone wristbandsfigured wristbandprinted-wristband
GUANGZHOU - A team of Chinese and US researchers has developed an artificial intelligence system that can "read" health records and give diagnoses as accurately as experienced doctors.In a paper published in Nature Medicine on Tuesday, the researchers said they have built an AI-based system that can automatically diagnose common childhood diseases after processing the patient's symptoms, medical history and other clinical data.To train and validate the "smart" system, the scientists used it to study and interpret electronic health records collected from more than 1.36 million pediatric visits to a major referral center in China.The system was highly accurate - comparable to experienced pediatricians - and may aid future doctors in diagnosing complex or rare diseases by providing more diagnostic predictions, the paper said.In addition, it may be useful for triage patients, an important factor in areas that are short of medical resources."The study demonstrates that AI may help diagnose more diseases after systematically studying health records, but we still have much work to do," said Xia Huimin, co-author of the paper and a researcher at Guangzhou Women and Children's Medical Center."We need a wider range of data to validate the system's level of accuracy."The collection and analysis of high-quality data is a long process that requires close cooperation between algorithm engineers, clinicians and epidemiologists."
