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Axsome Therapeutics to Present Five Abstracts Including New Data from the Positive SHARP Study of SUNOSI® (solriamfetol) in Participants with Cognitive Impairment with Excessive Daytime Sleepiness in Obstructive Sleep Apnea at the 2023 American Academy of Neurology (AAN) Annual Meeting - Vimarsana News

Axsome Therapeutics to Present Five Abstracts Including New Data from the Positive SHARP Study of SUNOSI® (solriamfetol) in Participants with Cognitive Impairment with Excessive Daytime Sleepiness in Obstructive Sleep Apnea at the 2023 American Academy of Neurology (AAN) Annual Meeting

NEW YORK, April 21, 2023 -- Axsome Therapeutics, Inc. , a biopharmaceutical company developing and delivering novel therapies for the management of central nervous system disorders, today... | April 21, 2023

Axsome Therapeutics to Present Five Abstracts Including New - Vimarsana News

Axsome Therapeutics to Present Five Abstracts Including New

NEW YORK, April 21, 2023 (GLOBE NEWSWIRE) -- Axsome Therapeutics, Inc. (NASDAQ: AXSM), a biopharmaceutical company developing and delivering novel...

Global Customer Data Platform Market 2022 to 2027: Players - Vimarsana News

Global Customer Data Platform Market 2022 to 2027: Players

Dublin, Dec. 23, 2022 (GLOBE NEWSWIRE) -- The "Customer Data Platform Market by Component, Application (Customer Retention and Engagement and...

Galway Atlantaquaria Hosts talks for World Oceans Day - Vimarsana News

Galway Atlantaquaria Hosts talks for World Oceans Day

There is probably no better day to celebrate this underwater treasure than World Oceans Day

Source: afloat.ie
LHMC Radiology Team and Colleagues Report on Model Algorithm to Optimize MRI Scheduling - Vimarsana News

LHMC Radiology Team and Colleagues Report on Model Algorithm to Optimize MRI Scheduling

Posted March 24th, 2021 for Lahey Clinic Posted on Collaboration with Engineers Yields Reduced Patient Wait-Times and Increased Efficiency Burlington, MA – The first known study exploring optimal outpatient exam scheduling through a model algorithm was shown to yield shorter wait times for magnetic resonance imaging (MRI) for patients and reduced costs. A collaboration including clinical and operational experts at Lahey Hospital & Medical Center and Philips along with engineers at the Thayer School of Engineering at Dartmouth College worked to identify sources ...