Our AI Scientists continue to publish new approaches to analyzing cancer with radiology & pathology images. Some were published in npj this summer, co-authored by @LiHaojia , @nathanielbraman , and @anantm . Way to go!
https://t.co/4edNBVifBj
https://t.co/NVAKE09CYH
Come learn about what we're doing at #ASCO23 in Chicago this weekend.
https://t.co/FHVEgB3yt9
P.S. We working on much more than this!
P.P.S. We're #hiring at https://t.co/PJCmGwrG7A
Our co-founder @anantm discussing @sitcancer many of the technologies we're working hard to bring into clinical use including recently published work from @nathanielbraman related to Quantitative Vessel Tortuosity #SITC22
Novel Radiomic Measurements of Tumor-Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers @CCR_AACR @SWOG @mkatzmd https://t.co/H4VpcIgQ23
Tips on writing a NIH R01 on #AI. In last 6 weeks our group landed 4 @NIH / @theNCI R & U grants on #AI in #imaging & #medicine. I got a number of enquiries about grant writing tips. I share some thoughts below. Also free offer - Happy to review & provide f/b on your S aims page
Thanks Chris, @nathanielbraman and others for hosting this event. Enjoyed the robust panel discussion on #AI & clinical biomarkers. Thanks for including me.
⚡️Preprint: Why do tree-based models still outperform deep learning on tabular data?
We give solid evidence that, on tabular data, achieving good prediction is easier with tree methods than deep learning (even modern architectures) and explore why
https://t.co/qft4LgZm0z
1/9
Yesterday, we had the pleasure of welcoming @nathanielbraman to present his work on:
"Multimodal Imaging Biomarkers: Integrating and Illuminating Radiology and Digital Pathology for Precision Oncology"
Watch the seminar below👇:
https://t.co/NJv8caE67O
#ML#AI#CPath#DPath
Yesterday, we had the pleasure of welcoming @nathanielbraman to present his work on:
"Multimodal Imaging Biomarkers: Integrating and Illuminating Radiology and Digital Pathology for Precision Oncology"
Watch the seminar below👇:
https://t.co/NJv8caE67O
#ML#AI#CPath#DPath
Thrilled to report new paper "Novel Radiomic Measurements of Tumor-Associated Vasculature (TAV) Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers" in @CCR_AACR, led by Dr @nathanielbraman. TAV predicts chemo response in breast & lung cancer.