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David Huang, M.D., Ph.D., receives Lasker Award for transformative imaging technology

/PRNewswire/ -- The United States' most distinguished biomedical research award is being given to Oregon Health & Science University physician-scientist David...

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David Huang, M.D., Ph.D., receives Lasker Awa

The United States’ most distinguished biomedical research award is being given to Oregon Health & Science University physician-scientist David Huang, M.D., Ph.D., for co-inventing an imaging technology that routinely helps prevent blindness and is increasingly used to diagnose and treat conditions of the heart, brain, skin and more. Huang is receiving the 2023 Lasker-DeBakey Clinical Medical Research Award as a co-inventor of optical coherence tomography, or OCT. Huang shares the award with fellow OCT co-inventors James G. Fujimoto, Ph.D., and Eric A. Swanson, M.S., both of the Massachusetts Institute of Technology.

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David Huang, M.D., Ph.D., receives Lasker Award for transformative imaging technology

David Huang, M.D., Ph.D., receives Lasker Award for transformative imaging technology
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Good Shepherd hosts Family Health & Fitness Day | Community

HERMISTON — Adults can relive their childhood days of playing Hasbro's "Operation" during a hands-on exercise with Good Shepherd Health Care System's da Vinci Surgical System during Family Health &

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Study: Treatment for vision problems in children is ineffective

A new study by researchers, including a group at OHSU, shows more work needs be done to prevent nearsightedness in children.

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Hitting road to bring cancer education to Oregonians

Hitting road to bring cancer education to Oregonians
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Smartphone-Based Telescreening May Benefit Detection of Retinopathy of Prematurity

Cost-effective smartphone-based fundus imaging systems may be effective for the detection of treatment-requiring ROP, and help increase the global capacity for ROP screening.

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Biomarker-Based Artificial Intelligence Able to Infer Race From Retinal Images

The findings of a recent diagnostic study suggest that AI was able to infer the self-reported race of infants from retinal vessel maps, something human graders are unable to do.

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