Machine Learning Model tagged posts

Machine Learning Model builds on Imaging Methods to better Detect Ovarian Lesions

ultrasound images or a benign and a malignant lesion using Zhu's new technique
(From left) The top row shows an ultrasound image of a malignant lesion, the blood oxygen saturation, and hemoglobin concentration. The bottom row is an ultrasound image of a benign lesion, the blood oxygen saturation, and hemoglobin concentration. (Image: Zhu lab)

New research yields a novel method to use ultrasound to enhance machine learning’s ability to accurately diagnose — or rule out — ovarian cancer.

Although ovarian cancer is the deadliest type of cancer for women, only about 20% of cases are found at an early stage, as there are no real screening tests for them and few symptoms to prompt them...

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Machine Learning Model uses Blood Tests to predict COVID-19 survival

Proteomics core facility at Charité University hospital Berlin. Credit: Johannes Hartl, Charité

A single blood sample from a critically ill COVID-19 patient can be analyzed by a machine learning model which uses blood plasma proteins to predict survival, weeks before the outcome, according to a new study published this week in the open-access journal PLOS Digital Health by Florian Kurth and Markus Ralser of the Charité—Universitätsmedizin Berlin, Germany, and colleagues.

Healthcare systems around the world are struggling to accommodate high numbers of severely ill COVID-19 patients who need special medical attention, especially if they are identified as being at high risk...

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