Hong Ko24 hour wristbands coupon code free shippingng researchers find shortcut to predict brain diseases" drug effectiveness

Women"s Self-Help Guide To Buying Men"s Bracelets My daughter is just about the of those girls who seems to buy endless piles of accessories. To keep her hair clips, rings, and rubber bracelets organized, she turned old glass jars into snazzy trinket containers. These also make terrific containers for homemade Christmas gifts for example bath salts and soaps. Prices on men"s bracelets vary from website to website. Obtain a good price, compare products from many websites before purchase. Always check for quality anyone buy any piece of ring. Gold bracelets come using the higher end whole silver cost an excellent less than gold. If you don"t want expensive jewelry you might try titanium, tungsten, and the like. if you like leather jewelry, can actually find good of variety in anything else you like too. Leather embedded with metal they are under great insist upon. The cheapest ones become the cool wristbands that your lot men and women have started using lately. cancer wristbands Happy Holidays Snowman Earring Set comes with a cute and frosty design which features a happy snowflakes and snowman. The reason enameled with crystals and glitters. Very a lever back earring which double functions to be a pendant. Laugh & Learn Crawl Around Car: For youngsters - between 6 months to four years - this crawl around car from Fisher-Price is a cute and fun process. It comes with a number of features, such as a steering wheel, horn, a train engine key and number different sound end result. For instance, if it"s breast cancer awareness which you are promoting your own pink band wwjd wristbands at a time ribbon might possibly be nice. Family reunion wristbands can include the family name(s) with the event title i.e Jackson Family Reunion May 15, the year 2013. Our Nation"s 44th president is a Halloween trend again yr. No matter which side of the political landscape you land on, an Obama costume might be for someone. You can find President Obama masks (and Michelle exceedingly!) on www.amazon.com or here. And that about does it for earlier this week. Not only that, I do not have anything on my calendar for your following week at virtually. Come on guys, I know there must be something going concerning. Please send me a heads-up and I"ll include it here next weekend. Otherwise, this regular feature will become a bit irregular the actual winter.
(From left) Mr Duan Xin, Dr Lin Xudong, Dr Shi Peng, Professor Cheng Shuk Han and Dr Wang Xin. [Photo/City University of Hong Kong]

HONG KONG - A research team led by the City University of Hong Kong (CityU) has developed a new platform to enhance the prediction of effectiveness of medicines treating brain diseases, the university told reporter on Monday.

The result came after five years of collaboration between CityU"s Department of Biomedical Engineering (BME) and Department of Biomedical Sciences (BMS), and Harvard Medical School, the United States, aiming to provide a platform to predict compounds that have the potential to be developed into new drugs to treat brain diseases.

The research team generated the maps from the brains of thousands of zebrafish larvae, each treated with a clinically used CNS drug. The maps showed the corresponding brain regions that reacted to those drugs.

By employing machine learning strategy, the team predicted that 30 out of those 121 new compounds had anti-seizure properties. To validate the prediction, the research team randomly chose 14 from the 30 potential anti-seizure compounds to perform behavioral tests with induced seizure zebrafishes.

The result showed that 7 out of 14 compounds were able to reduce the seizures of the zebrafish without causing any sedative effects, implying a prediction accuracy of around 50 percent.

Shi Peng, Associate Professor of CityU"s BME, said that the team used robotics, microfluidics and hydrodynamic force to trap and orient an awake zebrafish automatically in 20 seconds, which allowed the imaging for many zebrafishes to be carried out in one go.

"More importantly, our platform can immobilize the fish without anaesthesia, thus avoiding interference," he added.

With this high-speed in vivo drug screening system combined with machine learning, Shi said that a shortcut is provided to help identify compounds with significantly higher therapeutic potentials for further development, hence speed up the drug development and reduce the failure rate in the process.

The research is published in the scientific journal Nature Communications.