Despite those obstacles, Indiana University School of Medicine faculty and Regenstrief Institute research scientists had their research published in Nature Communications on April 14, which is an even more significant feat considering one of the leading authors has been quarantined in Wuhan, China for the last two months of their work. The team consists of Affiliated Scientist Jie Zhang, PhD, Regenstrief Institute Research Scientist Kun Huang, PhD, both Indiana University School of Medicine faculty members, Jun Cheng, PhD, of Shenzhen University and colleagues including Liang Cheng, M.D. of IU School of Medicine. The study was led by Dr. Zhang, an assistant professor of medical and molecular genetics at IU School of Medicine. The work focuses on the application of machine learning and image analysis to help researchers distinguish a rare subtype of kidney cancer (translocational renal cell carcinoma, or tRCC) from other subtypes by examining the features of cells and tissues on a microscopic level. Dr. Zhang said the structural similarities have caused a high rate of misdiagnosis.
San Francisco – Long maligned as job-stealers and aspiring overlords, robots are being increasingly relied on as fast, efficient, contagion-proof champions in the war against the deadly coronavirus. One team of robots temporarily cared for patients in a makeshift hospital in Wuhan, the Chinese city where the COVID-19 outbreak began. Meals were served, temperatures taken and communications handled by machines, one of them named "Cloud Ginger" by its maker CloudMinds, which has operations in Beijing and California. "It provided useful information, conversational engagement, entertainment with dancing, and even led patients through stretching exercises," CloudMinds president Karl Zhao said of the humanoid robot. "The smart field hospital was completely run by robots."
Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations.
HONG KONG – The deadly coronavirus outbreak, which has pushed the Chinese medical community into overdrive, has also prompted the country's hospitals to more quickly adopt robots as medical assistants. Telepresence bots that allow remote video communication, patient health monitoring and safe delivery of medical goods are growing in number on hospital floors in urban China. They are now acting as safe go-betweens that help curb the spread of the coronavirus. Keenon Robotics Co., a Shanghai-based company, deployed 16 robots of a model nicknamed "Little Peanut" to a hospital in Hangzhou after a group of Wuhan travelers to Singapore were held in quarantine. Siasun Robot and Automation Co. donated seven medical robots and 14 catering robots to the Shenyang Red Cross to help hospitals combat the virus on Wednesday, according to a media release on the company's website.
China faces an acute shortage of doctors. Even in China's first-tier cities - Beijing, Shanghai, Chongqing, Shenzhen and Tianjin - many Chinese must wait in long lines at hospitals and clinics to receive examinations, diagnosis and treatment. The World Health Organization issued a report in 2016 disclosing that in China, there's a ratio: 1.5 doctors for every 1,000 people, while in the United States, it's 2.4 per 1,000 and in the United Kingdom, 2.8 per 1,000. Apparently, new solutions are required to help Chinese doctors reduce workloads. Hence, Chinese developers of Artificial Intelligence (AI) may have found the answer.