
Daniel Shao
@daniel__shao
ID: 1291212678820581376
06-08-2020 03:21:14
17 Tweet
40 Followers
128 Following

Hi NASA, NASA JPL, NASA's Juno Mission Thanks for inspiring with all the great pictures. I think pathomics can match up to the beauty of them. #ThisisExciting #PathomicsNewBee. Daniel Shao @VaradanLab Chenglu






#SpeakerSpotlight 🌟 We are pleased to introduce Faisal Mahmood, PhD (Faisal Mahmood) of Harvard Medical School, Brigham and Women's Hospital, and a speaker at #AIO2021. His research interests include pathology image analysis, morphological feature, and biomarker discovery. bit.ly/3f2oMwM


2nd @CCIPD_Case #computationalpathology paper for the week. "Prostate cancer risk stratification via non-destructive 3D pathology with deep learning-assisted gland analysis" in Cancer Research led by Jonathan Liu. #3Dpathomics & #AI for #3Dpathology. tinyurl.com/4jd9ay7b



Excited to share our Cancer Cell article presenting a pan-cancer integrative histology-genomic analysis, multimodal integration improves prognostic models, discovers molecular & morphologic correlates of prognosis. bit.ly/3PbnUVM Harvard Medical School Brigham and Women's Pathology Broad Institute 1/2


Tips on writing a NIH R01 on #AI. In last 6 weeks our group landed 4 NIH / National Cancer Institute 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


Excited to share our Cancer Cell review on #AI-driven multimodal data integration in #oncology. We discuss methods, and app. of multimodal data fusion, interconnection, assoc. disc. & more. Brigham and Women's Pathology MGH Pathology Harvard Data Science Initiative Broad Institute Link: bit.ly/3Cshmhc 1/2


Check out our latest work on deriving crucial insights for transferability of multiple instance learning (MIL) models in #computationalpathology to be presented in ICML Conference (Spotlight)! Kudos to Daniel Shao who led the study 😎


Thrilled to share my latest PhD work exploring fundamental questions about the transferability of multiple instance learning models in #computationalpathology, accepted as a spotlight paper to ICML Conference ! Many thanks to Richard J. Chen Andrew H. Song Faisal Mahmood and all coauthors

📣 If you're at ICML Conference ICML 2025, our superstar graduate student Daniel Shao will be presenting our work on transferability of MIL models and supervised foundation models for computational pathology. Poster session: 11 am - 1:30 pm PST at West Exhibition Hall B2-B3 #W-314
