Sept. 9, 2024 — Lunit has announced a collaboration with Roche to integrate Lunit SCOPE PD-L1 22C3 TPS into Roche's navify Digital Pathology platform.

This marks the first deployment of Lunit's AI technology with Roche, supporting pathologists and scientists with enhanced tools for cancer research as part of Roche's initiative to create a collaborative digital pathology ecosystem.

Sep. 09, 2024 – Better image quality, same reading times or faster, increased confidence in diagnosis, reduced time to potential intervention, and potential to divert cases from CT imaging. This is a summary of a study using the Reveal 35C detector in the ICU, to be presented at this year’s American Society of Emergency Radiology (ASER) Meeting that will take place Sept. 11 to 14 in Washington, D.C.

Sept. 5, 2024 — Alba is a new a clinical-grade multimodal co-pilot designed to revolutionize personalized medicine and precision oncology.

Aug. 28, 2024 — Rezolut, LLC recently debuted its latest offering for patients during their annual mammogram, SecondReadAI powered by Lunit. This artificial intelligence (AI) technology provides an additional analysis to detect fine details that could be overlooked by the interpreting physician.   

Aug. 19, 2024 — GE HealthCare recently announced a collaboration with the University of California San Diego School of Medicine to investigate advanced magnetic resonance imaging (MRI) protocols and techniques for female-specific diseases and conditions of the pelvis and develop comprehensive educational materials for clinicians. The goal of the project is to elevate women’s pelvic health, filling an important gap in medical research and care.

Aug. 28, 2024 – AC Immune SA recently announced that its partner Life Molecular Imaging (LMI) has received Fast Track Designation for the Tau positron emission tomography (PET) diagnostic, [18F]PI-2620, from the U.S. Food and Drug Administration (FDA) in three neurodegenerative conditions.

Fast Track designation for [18F]PI-2620 has been granted for clinical development in Alzheimer’s disease (AD), progressive supranuclear palsy (PSP), and corticobasal degeneration (CBD).

Aug. 26, 2024 — Data scientists and clinical researchers will use brain scans from the entire Scottish population to build a software tool that they hope will help predict a person’s risk of dementia.

The team from the Universities of Edinburgh and Dundee, has approval to use a unique, large data set made up of CT and MRI brain scans from patients in Scotland from 2008 to 2018, representing 1.6 million images.

Approval comes from the Public Benefit and Privacy Panel for Health and Social Care, a part of NHS Scotland.

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