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Source:American Association for Cancer Research
In a new study from Columbia Radiology, researchers utilized artificial intelligence (AI) to train algorithms to predict tumor sensitivity to three systemic cancer therapies.
Dr. Hiram Shaish weighs in on two studies which he says provide critical first steps towards much-needed clarity in understanding how best to perform CT urography.
Third-year radiology resident Sowmya Varada, MD, was awarded a Trainee Research Prize at the 2019 Radiological Society of North America (RSNA) Annual Convention this December.
- June 18, 2019
Dr. Simi Mutasa has been selected by Columbia Cancer Training Program for Resident-Investigators to receive funding for development of an AI-based risk model for personalized breast cancer assessment.
- May 29, 2019
Tony Wong, MD, was awarded a 2019 Research Scholar Grant for research and development of a new, radiation-free imaging approach that enables personalized treatment of femoroacetabular impingement.
- May 29, 2019
Kathleen Capaccione, MD, PhD, has been awarded the Research and Education Foundation Resident/Fellow Grant to study the use of novel radiopharmaceuticals to diagnose and treat melanoma.
- May 28, 2019
Dr. Jaramillo is looking at diffusion tensor imaging (DTI) as a potential biomarker for bone growth.
Source:Health ImagingFebruary 4, 2019
A study led by Richard Ha, MD concluded that using a convolutional neural network (CNN) plus MRI data accurately predicted the molecular subtype of breast cancers.
Source:American Journal of RoentgenologyFebruary 1, 2019
Tony Wong, MD, discusses his study on ulnar collateral ligament (UCL) insertional injuries in pediatric overhead athletes.
- March 28, 2017
Columbia and NewYork-Presbyterian to participate in program led by the Foundation for the National Institutes of Health Biomarkers Consortium