Latest news with #Saucerman
Yahoo
25-03-2025
- Health
- Yahoo
UVA School of Medicine creates tool to predict drug impact on biological process
School of Medicine scientists at the University of Virginia (UVA), US have developed an AI tool, LogiRx, designed to expedite the development of treatments for new diseases by predicting the effects of drugs on biological processes. The computational tool helps identify not only the patient populations that may benefit but also provides insights into how drugs function within cells. According to the researchers, LogiRx has shown potential in detecting a 'promising' candidate for heart failure prevention. For instance, the team found that escitalopram, an antidepressant, is a candidate to avert cardiac hypertrophy, a condition where the overgrown cells 'thicken' the muscles of the heart, impairing the organ's ability to pump blood. UVA biomedical engineering professor Jeffrey Saucerman and his team, including PhD student Taylor Eggertsen, utilised LogiRx to assess 62 drugs previously deemed 'promising' for preventing cardiac hypertrophy. The tool predicted 'off-target' effects for seven drugs that could aid in cellular hypertrophy prevention, with confirmation in cells for two of them. Laboratory tests and patient outcome reviews revealed that those taking the antidepressant had a reduced risk of developing cardiac hypertrophy. While further research and clinical trials are necessary before escitalopram can be prescribed for heart health, Saucerman is optimistic about the tool's potential to expedite new treatments for various severe medical conditions. Saucerman said: 'AI needs to move from detecting patterns to generating understanding. Our LogiRx tool helps us identify not just which drugs can be repurposed for heart disease but how they work in the heart. 'AI is accelerating many aspects of drug development, but it has made less progress in providing the required understanding of how these drugs work in the body. LogiRx is a step towards combining AI with existing knowledge of how cells work to find new uses for old drugs.' "UVA School of Medicine creates tool to predict drug impact on biological process" was originally created and published by Medical Device Network, a GlobalData owned brand. The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site.
BBC News
16-03-2025
- Sport
- BBC News
Devils lose ground on title chasers at Sheffield
Cardiff Devils lost ground in the Elite League title race after their five-game winning run was halted at Sheffield remain fourth but are now six points behind third-placed Nottingham Panthers after a second defeat of the campaign at Steelers remain second after shaking off their recent indifferent had won just three of their last seven games - including a 6-2 loss in south Wales - but they edged a tight first period dominated by both Saucerman netted the only goal of that first period before Mikko Juusola scored just 27 seconds into the O'Brien's response for Devils was swiftly cancelled out Steelers' Patrick Watling before Joey Martin scored during a powerplay just before the set up a tense final period that remained goalless until Kevin Tansey netted for Steelers three minutes from time before Cole Sanford's late score.
