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WABC Eyewitness News Upclose November 29, 2015 - Vimarsana News

WABC Eyewitness News Upclose November 29, 2015

This. But first, with some background, heres Eyewitness News reporter rob nelson. Its a move that would impact about 400,000 residents in about 180,000 apartments throughout new york city a national ban on indoor smoking in Public Housing across the country. If thats what they need to do to keep everybody healthy, from getting cancer and all that other stuff, thats understandable. Federal Officials Say the move would not only cut back on the impact of Secondhand Smoke, but would also lower buildingmaintenance costs and reduce the risk of fires. Still, critics say its just another example of go...

Fare evaders driving increase in more serious NYPD transit crime, officials say - Vimarsana News

Fare evaders driving increase in more serious NYPD transit crime, officials say

Police brass say fare evaders are doing more than just short-changing the MTA; they're also responsible for the uptick in reported subway crime.

Source: amny.com
More than $62.9 million awarded to Monash for vital medical research - Vimarsana News

More than $62.9 million awarded to Monash for vital medical research

34 Monash University research projects have been awarded a combined total of more than $62.9 million in the latest National Health and Medical Research Council (NHMRC) Investigator Grants scheme.NHMRC Investigator Grants provide the highest-performin

SK Life Science to Host Symposium and Present New Data at the American Epilepsy Society (AES) 2023 Annual Meeting - Vimarsana News

SK Life Science to Host Symposium and Present New Data at the American Epilepsy Society (AES) 2023 Annual Meeting

SK Life Science, Inc., a subsidiary of SK Biopharmaceuticals Co., Ltd., an innovative global pharmaceutical company focused on developing treatments for central nervous system (CNS) disorders and oncology, will present data on cenobamate at the American Epilepsy Society (AES) Annual Meeting, to be held December 1-5, 2023, in Orlando, Florida.

Source: yahoo.com
Deep Learning Model Predicts Personalized Initial Antiseizure Medication - Vimarsana News

Deep Learning Model Predicts Personalized Initial Antiseizure Medication

An Artificial Intelligence (AI) model has been shown to have the capacity to forecast the best personalized anti-seizure medicine for individuals with recently diagnosed epilepsy, according to a Monash University-led study, believed to be the first in the world.