Day: October 14, 2021

Blog article

Nursing schools see applications rise, despite COVID burnout

STORRS, Conn. (AP) — Nurses around the U.S. are getting burned out by the COVID-19 crisis and quitting, yet applications to nursing schools are rising, driven by what educators say are young people who see the global emergency as an opportunity and a challenge.

Among them is University of Connecticut sophomore Brianna Monte, a 19-year-old from Mahopac, New York, who had been considering majoring in education but decided on nursing after watching nurses care for her 84-year-grandmother, who was diagnosed last year with COVID-19 and also had cancer.

“They were switching out their protective gear in between every patient, running like crazy trying to make sure all of their patients were attended to,” she said. “I had that moment of clarity that made me want to jump right in to healthcare and join the workers on the front line.”

Nationally, enrollment in bachelor’s, master’s and doctoral nursing programs increased 5.6%

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Health News

Skin cancer app fails to identify rare, aggressive cancers

(HealthDay)—A direct-to-consumer machine learning model for detecting skin cancers may not adequately recognize rare, but aggressive, skin cancers, according to a study presented at the annual meeting of the European Academy of Dermatology and Venereology, held virtually from Sept. 29 to Oct 2.

Lloyd Steele, M.B.Ch.B., from the University of London, and colleagues assessed the performance of a machine learning model for Merkel cell carcinoma (MCC) and amelanotic melanoma. The performance of a direct-to-consumer model, which is available in Europe as a certified , was assessed using a set of images that included 28 MCCs, 35 amelanotic melanomas, 28 seborrheic keratoses, and 25 hemangiomas.

The researchers found that the direct-to-consumer app incorrectly classified five of 28 MCCs (17.9 percent) and seven of 35 amelanotic melanomas (22.9 percent) as low risk. Nearly two-thirds of benign lesions (62.2 percent) were classified as high risk. The model’s sensitivity for detecting malignancy

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