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Researchers discover deep learning model to maximise lifespan after liver transplant

Researchers discover deep learning model to maximise lifespan after liver transplant ANI | Updated: Apr 13, 2021 07:27 IST Toronto [Canada], April 13 (ANI): Researchers from University Health Network have developed and validated an innovative deep learning model to predict a patient s long-term outcome after receiving a liver transplant. This model is the result of a collaboration between the Ajmera Transplant Centre and Peter Munk Cardiac Centre. The study, published in Lancet Digital Health, shows it can significantly improve long-term survival and quality of life for liver transplant recipients. Historically, we have seen good advances in one-year post-transplant outcomes, but survival in the longer term has not significantly improved in the past decades, said Dr Mamatha Bhat, a hepatologist with the Ajmera Transplant Centre at UHN and co-senior author of the study.

MIRTEC to Display Award-Winning 3D AOI and SPI Solutions at APEX 2021 Virtual EXPO

MIRTEC to Display Award-Winning 3D AOI and SPI Solutions at APEX 2021 Virtual EXPO MIRTEC, ‘The Global Leader in Inspection Technology,’ is pleased to announce its participation in the 2021 IPC APEX Virtual EXPO, scheduled to take place March 9-11, 2021 online at www.ipcapexexpo.org.  “We are looking forward to participating in the IPC APEX Virtual EXPO,” stated Brian D’Amico, President of MIRTEC’s North American Sales and Service Division. “MIRTEC will feature video feed and information about our award-winning inspection solutions specifically designed to address the full spectrum of inspection requirements associated with the Electronics Manufacturing Industry.” MIRTEC’s MV-6 OMNI 3D AOI Machine is configured with our exclusive OMNI-VISION® 3D Inspection Technology which combines 15 Mega Pixel CoaXPress Camera Technology with MIRTEC’s revolutionary Digital Tri-Frequency Moiré 3D system in

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