[quick news] on October 8, 2018, new AI tools can predict the risk of Alzheimer's disease

New AI tools can predict the risk of Alzheimer's disease The research team from McGill University in Canada has successfully trained a new artificial intelligence algorithm, which can quickly help doctors accurately predict the causes of cognitive decline in Alzheimer's disease and provide intervention programs, and can predict whether a person's cognitive ability may deteriorate within five years, and then suffer from Alzheimer's disease According to the data of the World Health Organization, there are about 50 million people suffering from dementia in the world, which is expected to reach 82 million in 2030 and 152 million in 2050, of which 60-70% are Alzheimer's disease Although there is no real effective treatment at present, continuous improvement of disease prediction can help reduce the risk of disease Https://www.timesnownews.com/health/article/vitamin-d-supplements-do-not-maintain-or-improve-bone-health-finds-new-study/295114 the molecular mechanism of ancient ribozyme catalysis has been revealed Lei Ming team, Institute of precision medicine, the Ninth People's Hospital Affiliated to the school of medicine, Shanghai Jiaotong University and Li Guohui, the State Key Laboratory of molecular reaction kinetics, Dalian Institute of chemistry, Chinese Academy of Sciences, worked together to reveal the processing and maturation mechanism of the 5 'end of tRNA precursor in eukaryotes The results were published in science online in the form of long articles This time, the researchers successfully resolved the structure of the whole RNase P and its complex with the substrate pre tRNA This structure reveals the spatial atomic resolution organization of RNase P subunits in eukaryotes, that is, the protein subunits are closely intertwined to stabilize the conformation of RNA catalytic subunits At the same time, the researchers found that RNase P recognizes tRNA precursors through a "double anchoring" mechanism The 5 'end of tRNA is specifically anchored in the catalytic center to facilitate its cleavage reaction Http://science.sciencemag.org/content/early/2018/09/26/science.aat6678 where is the transformation path of stem cell technology? More than 5300 stem cell clinical trials have been registered in the world, only more than 300 in China; less than 10 stem cell drugs have been developed in China among more than 500 international stem cell drugs; the number of standardized stem cell transformation applications and stem cell products on the market is 0 Recently, reporters from China Science Daily obtained the above data at the 635th Symposium of Xiangshan Science Conference held in Beijing At the conference of "regeneration, repair and personalized treatment based on stem cell and genomics", facing the gap of stem cell technology transformation in China, experts proposed that the supervision of stem cell technology in China should refer to the management mode of drug research and development to promote the clinical application of stem cells and the development of related industries Http://news.scienceet.cn/sbhtmlnews/2018/10/339607.shtm a new therapeutic vaccine is expected to resist multiple types of cancer Recently, researchers from the United States conducted a small-scale preliminary test and found that a new personalized vaccine can effectively inhibit the progress of cancer in more than half of patients with malignant tumors; HER2 Positive cancer, that is, there are a large number of HER2 proteins on the surface of cancer cells of patients In this case, the cancer of patients will progress rapidly and spread to other areas of the body more easily This kind of cancer includes breast cancer, bladder cancer, pancreatic cancer, Nestle cancer and gastric cancer, which we are familiar with Https://www.cancer.org/treatment/treatments-and-side-effects/treatment-types/immunotherapy/cancer-vaccines.html programming artificial hydrogel for complex 3D movement Researchers from University of Texas, UTA, have developed a new method for two dimensional (2D) The hydrogel is programmed to expand and contract in a space and time controllable manner, forming a complex 3D shape and achieving motion The results were published in nature communication Unlike traditional additive manufacturing, the digital light 4D printing method allows multiple customized 3D structures to be printed at the same time, the researchers said Most importantly, this method is very fast, printing time is less than 60 seconds, so it is highly scalable The programmable 3D structure method created by Uta is expected to open up many new ways for biological robots and tissue engineering Its application speed and scalability will make it a unique tool for future research and application development https://www.nature.com/articles/s41467-018-05569-8