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Change, Keg and Gator debate diversity and funds in Spring Executive Debate - The Independent Florida Alligator - Vimarsana News

Change, Keg and Gator debate diversity and funds in Spring Executive Debate - The Independent Florida Alligator

Change, Keg and Gator debate diversity and funds in Spring Executive Debate The three parties agreed on various traffic safety changes Student Government SG Generic Photo by Alligator Staff | The Independent Florida Alligator Before concluding the hour-long debate, the three parties had called each other names, questioned the others’ motives and addressed...

UF Student Government Spring election party platforms - The Independent Florida Alligator - Vimarsana News

UF Student Government Spring election party platforms - The Independent Florida Alligator

UF Student Government Spring election party platforms Here’s what the Gator Party’s and the Change Party’s campaigns focus on Photo by Kate McNamara | The Independent Florida Alligator The Gator Party and the Change Party released platforms highlighting stances on traffic safety, sustainability, racism and student diversity. Students will vote for 50 UF Senate seats and the Stud...

Wednesday is the last day to request an absentee ballot for the Spring elections - The Independent Florida Alligator - Vimarsana News

Wednesday is the last day to request an absentee ballot for the Spring elections - The Independent Florida Alligator

University of Florida students who are not living in Gainesville or don’t feel comfortable voting in person can request an absentee ballot to be sent by mail by filling out a request form through the SG website.

AI Uncovers Occult Long QT Syndrome - Vimarsana News

AI Uncovers Occult Long QT Syndrome

email article More people were correctly identified as having long QT syndrome (LQTS) when their electrocardiograms were analyzed with artificial intelligence (AI) rather than the QTc metric alone, researchers reported. The task of differentiating people with LQTS from peers, evaluated for the condition but not diagnosed, was performed better by a convolutional neural network -- with an area under the receiver operating characteristic curve (AUC) of 0.900 -- than by ECG-derived QTc classification (AUC 0.824), according to Michael Ackerman, MD, PhD, of Mayo Clinic in Rochester, Minne...

Researchers develop mobile EKG device that can identify patients at risk of sudden cardiac death - Vimarsana News

Researchers develop mobile EKG device that can identify patients at risk of sudden cardiac death

Researchers develop mobile EKG device that can identify patients at risk of sudden cardiac death Researchers from Mayo Clinic and AliveCor Inc. have been using artificial intelligence (AI) to develop a mobile device that can identify certain patients at risk of sudden cardiac death. This research has yielded a breakthrough in determining the health of the electrical recharging system in a patient's heart. The researchers determined that a smartphone-enabled mobile EKG device can rapidly and accurately determine a patient's QTc, thereby identifying patients at risk of sudden cardiac death from...