Postdoctoral Fellow at @MSKCancerCenter Mathematical Oncology Initiative. Researching network science, genomics, oncology. Previously @DukeU, @UVA
New York City
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1/ 🚨New research alert! 🚨Our study in @BloodCancerJnl shows that high WEE1 expression is an independent predictor of poor survival in multiple myeloma (MM), with @RossFirestone, @MalinHultcrantz, @LarryNortonMD, @szusmani, and the rest of the @MSKCancerCenter team! 🧵👇
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Anish Simhal retweeted
Coming up at #IMS26: MSK's @aksimhal will present an AI model that uses information from each clinical visit to predict progression in smoldering multiple myeloma. @Myeloma_Society
🗓️ Friday, September 25 | 11 a.m. BT / 6 a.m. ET
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New paper with @RossFirestone @szusmani @TAkhlagh @UrviShahMD @FrancescoMaura4 @MalinHultcrantz and the rest of the wonderful MSK team!
#Myeloma Paper of the Day: A differentiated T-cell repertoire (CD8+CD45RA+CD62L-CCR7- T effector cells re-expressing CD45RA (TEMRA)) may define a functionally high-risk group (median time to progression of 2.1 years) of smoldering myeloma patients: pubmed.ncbi.nlm.nih.gov/4206…. #mmsm
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6/Computational/AI
PA-205 (Zang) MMRF CoMMpass Explorer
PA-366 (Simhal) CALM to predict SMM progression
PA-391 (Ntanasis-Stathopoulos) RW validation of new IMS/IMWG HR Criteria
PA-477 (Flores Pérez) HealthTree Heal-MM
#IMS25 #mmsm @Myeloma_Society @SocietyofHemOnc
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Anish Simhal retweeted
#Myeloma Paper of the Day: Immune-MRD status informs tumor-MRD outcome prognostication in myeloma pts on Len maintenance; T cell profiles enriched w/ activated cytotoxic effectors predict early relapse & quiescent/naïve T-cells predicting remission: pubmed.ncbi.nlm.nih.gov/4085…. #mmsm
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Anish Simhal retweeted
#Lungcancer can co-opt genes that normally help a fetus develop and evade the mother’s immune system, according to research from Dr. Jung Hun Oh, an associate attending computer scientist in MSK’s Department of Medical Physics, and colleagues.
And while these pregnancy-specific glycoproteins (PSGs) can get activated in the cancers of both men and women, female patients had poorer outcomes. The analysis suggests targeting these genes might improve survival in female patients with lung cancer.
Learn more about Dr. Oh's research: bit.ly/4kLUZsb
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🚀 Just published in Bioinformatics! Introducing ORCO: Ollivier-Ricci Curvature-Omics, a python package for analyzing robustness in biological systems. A 🧵 on what it is, why it matters, and how you can use it. With the great team from @MSKCancerCenter
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8/ ORCO is open-source & [relatively] easy to use! 🎉 Install via pip and start exploring network robustness in your data. Please reach out if you find any bugs or issues!
📌 Paper: academic.oup.com/bioinformat…
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9/ Want to try ORCO? If you're working with omics data & want to see how network curvature can enhance your analysis, I’d love to help! Please reach out.
#Bioinformatics #NetworkBiology #SystemsBiology
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Anish Simhal retweeted
Myeloma Paper of the Day, February 22nd, suggested by @Myeloma_Doc
@RossFirestone
oncodaily.com/science/myelom…
#Myeloma #Cancer #OncoDaily #Medicine #Oncology #Health #MedEd #MedX #MedNews
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Anish Simhal retweeted
#Myeloma Paper of the Day: WEE1 expression is prognostic independent of known biomarkers, differentiates outcomes associated w/ known markers, is upregulated independently of its interacting neighbors, & is associated w/ dysregulated P53 pathways: pubmed.ncbi.nlm.nih.gov/3997…. #mmsm
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1/ 🚨New research alert! 🚨Our study in @BloodCancerJnl shows that high WEE1 expression is an independent predictor of poor survival in multiple myeloma (MM), with @RossFirestone, @MalinHultcrantz, @LarryNortonMD, @szusmani, and the rest of the @MSKCancerCenter team! 🧵👇
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12/ Bottom line:
🔹 High WEE1 = worse survival in MM
🔹 WEE1 is independent of known risk factors
🔹 Targeting WEE1 might be a new therapeutic avenue
🔗 Read more: nature.com/articles/s41408-0…
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13/ Thanks to @VincentRK & the @BloodCancerJnl team for bringing this research out!
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