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> An integrated computational-experimental approach to characterize breast cancer heterogeneity with applications to prognosis and treatment
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An integrated computational-experimental approach to characterize breast cancer heterogeneity with applications to prognosis and treatment
Researchers:
Prof. Roded Sharan (Computer Science), Prof. Tamar Geiger (Medicine)
Tags:
Health-Biomedicine
An integrated computational-experimental approach to characterize breast cancer heterogeneity with applications to prognosis and treatment
Latest Researches
Researcher: Prof. Elhanan Borenstein (Computer Science & Medicine)
A Machine Learning-Based Framework for >
Researchers: Yftach Gepner (Public health), Noam Ben-Eliezer (Biomedical Engineering), Hayit
Artificial Intelligence and Machine learning >
New Researches
Announcing the Awardees of the Collaborative Clinical Bioinformatics and AI Research Grants
Unveiling the Frontiers of Artificial Intelligence at Tel Aviv University AI Day 2024
AI-Based Analysis of Tumor Organoids and In-Vivo Xenograft Models as a Novel Approach to Improve Cancer Treatment: Kidney Cancer as a Proof of Concept
ARTificial DEMOCRACIES
Is Chat-GPT's Financial Advice (Unintentionally) Gender Biased?
Measuring & Promoting Critical Thinking Regarding Legal AI Decision Support Systems
Are Decision-Making "Experts" Immuned from Potential xAI Risks?
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