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Global Contrast Media Market to Reach $5.6 Billion by 2027 - Vimarsana News

Global Contrast Media Market to Reach $5.6 Billion by 2027

Abstract: What’s New for 2022? -Global competitiveness and key competitor percentage market shares. ...

Global Breast Biopsy Markets, 2022-2026: Incorporation of Minimally Invasive Breast Biopsies & Rise in Initiatives Regarding Awareness of Breast Cancer - Vimarsana News

Global Breast Biopsy Markets, 2022-2026: Incorporation of Minimally Invasive Breast Biopsies & Rise in Initiatives Regarding Awareness of Breast Cancer

/PRNewswire/ -- The "Global Breast Biopsy Market (Core Needle, Vacuum Assisted & Fine Needle Aspiration): Insights & Forecast with Potential Impact of COVID-19...

Royal Philips NV (PHG) Q3 2021 Earnings Call Transcript - Vimarsana News

Royal Philips NV (PHG) Q3 2021 Earnings Call Transcript

PHG earnings call for the period ending September 30, 2021.

Source: fool.com
High Intensity Focused Ultrasound (Hifu) Market Analyzed in a New Research Study - Vimarsana News

High Intensity Focused Ultrasound (Hifu) Market Analyzed in a New Research Study

High Intensity Focused Ultrasound (Hifu) Market Analyzed in a New Research Study High–Intensity Focused Ultrasound (HIFU) is a highly precise medical procedure that applies high–intensity focused ultrasound energy to locally heat and destroy diseased or damaged tissue through ablation. BriefingWire.com, 4/16/2021 - High–Intensity Focused Ultrasound (HIFU) is a highly precise medical procedure that applies high–intensity focused ultrasound energy to locally heat and destroy diseased or damaged tissue through ablation. HIFU is...

Machine-learning predicts complications from CT-guided biopsy - Vimarsana News

Machine-learning predicts complications from CT-guided biopsy

March 15, 2021 -- Machine-learning models can predict whether a CT-guided transthoracic biopsy will have complications and if so, how severe they will be, according to researchers from the University of Pennsylvania in Philadelphia. After training and testing machine-learning models on CT-guided biopsies from nearly 1,500 patients, the researchers found that the algorithms could produce a high level of accuracy for predicting complications and their severity. "But more importantly, [they could] identify that technical procedural factors mattered the most, and delineate specific factors and th...