未登录PREDICTING RESPONSE TO IMMUNE CHECKPOINT INHIBITORS (ICI) IN NON-SMALL-CELL LUNG CANCER (NSCLC) BY COMBINING SPATIAL ANALYSIS OF CELLS AND RNA SEQUENCING DATA FROM BIOPSIES USING DEEP LEARNING (DL)
Markovits, Ettai; Soong, David; Arbiv, Becky; Groisman, Alon; Lipinsky, Maya; Yedidia, Yoni; Cohen, Yoad; Gabay, Yuval; Shachaf, Yuval; Oren, Eyal; Gluskin, Roman; Weiss, Ido; Hamadeh, Hisham; Sasser, Kate; Golan, Gali; Higgs, Brandon; Couto, Suzana; Zelichov, Ori .png)
分享.png)
收藏COMPREHENSIVE IMMUNOPHENOTYPING AND GENOMICS FROM SINGLE BLOOD TUBE FOR T-CELL DYNAMICS IN CLINICAL TRIALSMa-Edmonds, Manling; Masters, Gregg; Jabado, Omar; Grimm, Lisa; Bachu, Mahesh; Loya, Matthew; Suppa, Gabrielle; Blum, Jordan; Soong, David; Si, Han; Higgs, Brandon; Bottrel, Nicole; Henitz, Erin; Chiu, Christopher; Sasser, Kate; Fereshteh, Mark 分享 收藏 A SCALABLE DEEP LEARNING FRAMEWORK FOR RAPID AUTOMATED ANNOTATION OF HISTOLOGIC AND MORPHOLOGIC FEATURES FROM LARGE UNLABELED PAN-CANCER H&E DATASETSSoong, David; Soong, David; Soong, David; Muthuswamy, Anantharaman; Drew, Clifton; Pencheva, Nora; Jure-Kunkel, Maria; Sasser, Kate; Hamadeh, Hisham; Couto, Suzana; Higgs, Brandon 分享 收藏 
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
.png){kind=icon}
