Daniel Shao (@daniel__shao) 's Twitter Profile
Daniel Shao

@daniel__shao

ID: 1291212678820581376

calendar_today06-08-2020 03:21:14

17 Tweet

40 Followers

128 Following

Case Western Reserve (@cwru) 's Twitter Profile Photo

Three #CWRU students—Zahin Islam, Daniel Shao and Evan Vesper—will each receive $7,500 toward tuition, room and board, books and other expenses per academic year as Barry Goldwater Scholarship recipients. ow.ly/pEQd50BeQog #Congratulations

CWRU Engineering (@caseengineer) 's Twitter Profile Photo

All three recipients have majors or minors within the Case School of Engineering. Congratulations!! #CWRU #Engineering 🎉🙌👏ow.ly/BPtv50BeIcK

Anant Madabhushi (@anantm) 's Twitter Profile Photo

I usually post about new grant & patent awards to our group @CCIPD_Case. I think it only appropriate to share my rejections too. An R01 I put in was #NotDiscussed. Junior investigators, its not just you. Happens to senior investigators too. Have to #persevere & hv a thick skin.

I usually post about new grant & patent awards to our group @CCIPD_Case. I think it only appropriate to share my rejections too. An R01 I put in was #NotDiscussed. Junior investigators, its not just you. Happens to senior investigators too. Have to #persevere & hv a thick skin.
AID2B at CWRU (@aid2b_cwru) 's Twitter Profile Photo

#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

#SpeakerSpotlight 🌟  We are pleased to introduce Faisal Mahmood, PhD (<a href="/AI4Pathology/">Faisal Mahmood</a>) of <a href="/harvardmed/">Harvard Medical School</a>, <a href="/BrighamWomens/">Brigham and Women's Hospital</a>, and a speaker at #AIO2021. His research interests include pathology image analysis, morphological feature, and biomarker discovery. bit.ly/3f2oMwM
Anant Madabhushi (@anantm) 's Twitter Profile Photo

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

2nd @CCIPD_Case #computationalpathology paper for the week. "Prostate cancer risk stratification via non-destructive 3D pathology with deep learning-assisted gland analysis" in <a href="/CR_AACR/">Cancer Research</a> led by <a href="/jonliu123/">Jonathan Liu</a>. #3Dpathomics &amp; #AI for #3Dpathology.
tinyurl.com/4jd9ay7b
Cambridge Fire Dept. (@cambridgemafire) 's Twitter Profile Photo

II) 2 alarms Box 2-38: Arriving with heavy smoke from the bldg, firefighters rescued 1 trapped resident (w non life threatening injury) from floor 3 over a 35' ladder in a rear alley in the smoke. All other residents & 1 cat were evacuated safely. All 8 residents were displaced.

II) 2 alarms Box 2-38: Arriving with heavy smoke from the bldg, firefighters rescued 1 trapped resident (w non life threatening injury) from floor 3 over a 35' ladder in a rear alley in the smoke. All other residents &amp; 1 cat were evacuated safely. All 8 residents were displaced.
Faisal Mahmood (@ai4pathology) 's Twitter Profile Photo

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

Excited to share our <a href="/Cancer_Cell/">Cancer Cell</a> article presenting a pan-cancer integrative histology-genomic analysis, multimodal integration improves prognostic models, discovers molecular &amp; morphologic correlates of prognosis. bit.ly/3PbnUVM
<a href="/harvardmed/">Harvard Medical School</a> <a href="/BWHPath/">Brigham and Women's Pathology</a> <a href="/broadinstitute/">Broad Institute</a> 1/2
Anant Madabhushi (@anantm) 's Twitter Profile Photo

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

Tips on writing a NIH R01 on #AI. In last 6 weeks our group landed 4 <a href="/NIH/">NIH</a> / <a href="/theNCI/">National Cancer Institute</a> R &amp; U grants on #AI in #imaging &amp; #medicine. I got a number of enquiries about grant writing tips. I share some thoughts below. Also free offer - Happy to review &amp; provide f/b on your S aims page
Faisal Mahmood (@ai4pathology) 's Twitter Profile Photo

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

Excited to share our <a href="/Cancer_Cell/">Cancer Cell</a> review on #AI-driven multimodal data integration in #oncology. We discuss methods, and app. of multimodal data fusion, interconnection, assoc. disc. &amp; more. <a href="/BWHPath/">Brigham and Women's Pathology</a> <a href="/MGHPathology/">MGH Pathology</a> <a href="/harvard_data/">Harvard Data Science Initiative</a> <a href="/broadinstitute/">Broad Institute</a> 
Link: bit.ly/3Cshmhc 1/2
Andrew H. Song (@greatandrew90) 's Twitter Profile Photo

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 😎

Faisal Mahmood (@ai4pathology) 's Twitter Profile Photo

📣 Excited to share our new ICML 2025 Spotlight article, “Do Multiple Instance Learning Models Transfer?” – addressing a foundational question for building robust and generalizable MIL models. Read the article: arxiv.org/pdf/2506.09022 👉Enhanced Performance & Robustness:

📣 Excited to share our new ICML 2025 Spotlight article, “Do Multiple Instance Learning Models Transfer?” – addressing a foundational question for building robust and generalizable MIL models.

Read the article: arxiv.org/pdf/2506.09022 

👉Enhanced Performance &amp; Robustness:
Daniel Shao (@daniel__shao) 's Twitter Profile Photo

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

Faisal Mahmood (@ai4pathology) 's Twitter Profile Photo

📣 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

📣 If you're at <a href="/icmlconf/">ICML Conference</a> ICML 2025, our superstar graduate student <a href="/Daniel__Shao/">Daniel Shao</a> 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