Gallery & News

Great research and great poster!

The title of the talk was: Determinants of Tumor Phenotype in Advanced Breast Cancer: From Driver Mutations to the Microenvironment, Read Across Molecular and Histological Layers

Michal, Yuval and Dalia presented their projects at The Stein Faculty of Computer and Information Science poster session.

Huge congrats to Adam on your short talk on Computational Modeling of uORF-Derived Peptides for Mutant-Specific Inhibition of Oncogenic PIK3CA Variants in the “AI in Biomedicine” session of ILANIT/FISEB 2026!

Huge congrats to Yaniv on your short talk on Dissecting Cell-Type-Specific Gene Function in Cancer Using Language Models Applied to Pan-Cancer Single-Cell RNA-Seq in the “AI in Biomedicine session״ of ILANIT/FISEB 2026!

You did a great job, Maya, presenting your reaseach in a flash talk titled The landscape of driver genes in metastatic breast cancer through harmonized whole-exome sequencing of multiple MBC cohorts in the Cancer genomics and evolution session at ILANIT/FISEB 2026

Huge congrats to Hodaya on your short talk at ILANIT/FISEB 2026 titled Uncovering Transcriptional Signatures of Differential Drug Response in Archetypical Malignant States in Metastatic Breast Cancer (MBC) in the “Transforming Computational Oncology in the Era of AI” session!

Congratulations on your talk on “Spatial proteomic analysis yields insights into the mode of action for our novel AXL/PD-1 Bispecific T-cell Engager therapy in head and neck squamous cell carcinoma” in the “New horizons in cancer immunology and immunotherapy” session at ILANIT/FISEB 2026.

Congrats to Ismaell on your talk titled Decision-Support System for Early Sepsis Detection in Oncology Patients – a multi-institute study across over 250,000 cancer patients in the Transforming Computational Oncology in the Era of AI session at ILANIT/FISEB 2026!

Hadas’s poster title: Pan-Cancer single-cell atlas of tumors and their microenvironment uncovers commonalities and differences in transcriptional programs among solid tumors Shalevs title: Decoding Clinical Breast Cancer Cell States through analysis of H&E images Advancing Precision Oncology Using AI to Infer Gene Expression and Cellular Archetypes Pashas title: Decoding Hematopoietic Stem Cell Dynamics Adirs poster title: […]