Andrew Zhang

Broad Institute — United States

Computer Science · Physical Sciences

7h-index1.6kcitations23works78.02yr avg
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Research Topics

AI in cancer detection(5), Radiomics and Machine Learning in Medical Imaging(4), Natural Language Processing Techniques(3), Biomedical Text Mining and Ontologies(3), Multiple Myeloma Research and Treatments(2)

Publications23 total

A multimodal whole-slide foundation model for pathology
Nature Medicine·2025· 16 citedOpen Access
Zero-Shot Fine-Grained Image Classification Using Large Vision-Language Models
arXiv (Cornell University)·2025Open Access
Network-driven identification of indisulam neo-substrates for targeted protein degradation
Molecular Omics·2025
Maximal Matching Matters: Preventing Representation Collapse for Robust Cross-Modal Retrieval
arXiv (Cornell University)·2025Open Access
Flexible-length Text Infilling for Discrete Diffusion Models
arXiv (Cornell University)·2025Open Access
A Foundation Model for Spatial Proteomics
arXiv (Cornell University)·2025· 1 citedOpen Access
MAISY: Motion-Aware Image SYnthesis for Medical Image Motion Correction
arXiv (Cornell University)·2025Open Access
Abstract 2474: Deep learning-based tissue segmentation enables quantitative assessment and identifies dynamic markers of response from routine staining in glioblastoma
Cancer Research·2025
Molecular-driven Foundation Model for Oncologic Pathology
arXiv (Cornell University)·2025· 7 citedOpen Access
Flexible-length Text Infilling for Discrete Diffusion Models
2025Open Access
Maximal Matching Matters: Preventing Representation Collapse for Robust Cross-Modal Retrieval
2025· 1 citedOpen Access
Zero-Shot Fine-Grained Image Classification Using Large Vision-Language Models
2025Open Access
SteerVLM: Robust Model Control through Lightweight Activation Steering for Vision Language Models
2025Open Access
Multimodal Whole Slide Foundation Model for Pathology
arXiv (Cornell University)·2024· 23 citedOpen Access
PATH-50. AI-POWERED AUTOMATED TISSUE SEGMENTATION IMPROVES OUTCOME STRATIFICATION IN GLIOBLASTOMA
Neuro-Oncology·2024· 1 citedOpen Access
Multistain Pretraining for Slide Representation Learning in Pathology
Lecture notes in computer science·2024· 15 cited
Network-driven identification of indisulam neo-substrates for targeted protein degradation
2024Open Access
Analysis of 3D pathology samples using weakly supervised AI
Cell·2024· 71 citedOpen Access
A visual-language foundation model for computational pathology
Nature Medicine·2024· 549 citedOpen Access
Towards a general-purpose foundation model for computational pathology
Nature Medicine·2024· 875 citedOpen Access
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Frequent Co-authors

Faisal Mahmood(10), Guillaume Jaume(8), Andrew H. Song(8), Anurag Vaidya(8), Drew F. K. Williamson(7), Long P. Le(7), Christopher Thomas(7), Tong Ding(6), Ming Y. Lu(6), Muhammad Shaban(6), Georg K. Gerber(6), Bowen Chen(5), Sharifa Sahai(5), Anushka Sivakumar(5), Richard J. Chen(4), Sophia J. Wagner(4), Cristina Almagro-Pérez(4), Paul Doucet(3), Dina ElHarouni(3), Georges Ayoub(3)