Nadeem Lab aims to analyze, interpret, and infer novel insights from biomedical data at multiple scales (macro: radiology/ surgery, meso: pathology, micro: genomics/ transcriptomics/ proteomics/ metabolomics) for improving patient outcomes. We use advanced mathematical and machine learning techniques to drive this analysis. The lab focuses on building user-friendly tools that seamlessly fit into the clinical workflow and facilitate accurate and timely diagnosis/ prognosis/ decision making while aiding in novel biomarker discovery. We are affiliated with Department of Medical Physics, Department of Pathology & Laboratory Medicine and Service for Predictive Informatics. We are funded via the prestigious 7-year NIH/NCI MERIT Award.
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We were awarded the prestigious and the generous 7-year NIH/NCI R37 MERIT Award for our DeepLIIF work (GitHub, Cloud Platform). We will be extending DeepLIIF to standardize IHC PD-L1 quantification/clinical reporting across different clones and tumor types while deriving new spatial biomarkers for immunotherapy patient stratification.
Dr. Nadeem will Chair the Oral and Spotlight Health Equity Care for All Session (Oct 7) at MICCAI 2024 (Marrakesh, Morocco). We will also give an Oral presentation of our accepted paper, "Rethinking histology slide digitization workflows for low-resource settings", at the Oral Health Equity Low-Resource Settings Session on Oct 8.
Dr. Nadeem will be giving an invited talk at the 9th Annual MidAtlantic Bioinformatics Conference, organized by Department of Biomedical and Health Informatics (DBHi) at the Children's Hospital of Philadelphia and University of Pennsylvania's Institute for Biomedical Informatics (IBI).
Dr. Nadeem will give an invited talk at the Cleveland Clinic Integrated Hospital Care Institute.
Dr. Nadeem will give an invited talk at The 3rd Annual Warren Alpert Foundation Center, Symposium 2024.
Dr. Nadeem will be leading the Human-AI interaction Working Group for the largest industry/academia opensource MONAI consortium.
Dr. Nadeem discussed the hard realities of translational research and clinical deployments in pathology, radiology, or surgery with Anirban Mukhopadhyay on AI-Ready Healthcare podcast.
Dr. Nadeem will serve on the Program Committee for the prestigious 39th Annual AAAI Conference on Artificial Intelligence 2025.
Dr. Nadeem gave an invited talk at Roche Tissue Diagnostics on "Integrated Diagnostics: Current and Future States."
Our paper on Rethinking Histology Slide Digitization Workflows for Low-Resource Settings is accepted for publication at MICCAI 2024.
Dr. Nadeem will be giving an invited plenary talk at the 20th Annual Tucson Symposium - Roche Diagnostics USA.
Dr. Nadeem will be giving an invited talk at the Artificial Intelligence, Systems and Spatial Biology in Human Disease Conference at Mayo Clinic.
Dr. Nadeem will be course faculty for the Annual 2024 Digital Pathology Course at Memorial Sloan Kettering Cancer Center.
Dr. Nadeem is teaching Machine Learning with Images course at Weill Cornell Graduate School of Medical Sciences.
Dr. Nadeem served as the Area Chair and Computational Pathology Oral Session Chair for MICCAI 2023.
Our paper on multi-institution Ki67 DeepLIIF validation in medullary thyroid carcinoma is now published in Histopathology'23.
Our paper on a new AI-ready restained and co-registered multiplex IHC and multiplex immunofluorescence dataset for reproducible and accurate characterization of tumor microenvironment is accepted for publication in MICCAI'23. The dataset is now published on The Cancer Imaging Archive.
Invited in-person talk at Bristol-Myers Squibb (Princeton).
Invited talk Stanford Medical Physics Grand Rounds on "Building a comprehensive multimodal/multiscale patient snapshot for improved clinical outcomes". Video recording available here.
Dr. Nadeem will serve on the MSK AI Ethics Leadership Committee.
Dr. Nadeem is the winner of the Annual MSK Departmental Research Excellence Award. Thank you to all the lab members, collaborators, and the administrative staff who supported our research.
Joseph Marino
(senior data scientist)
joins the lab.
James Mathews (senior data scientist), Rami Vanguri (senior data scientist), Gunjan Shrivastava (data scientist), and Eliram Nof (postdoc) join the lab.
Awarded $4.2M MSKCC DigITs funding for research and development of "institutional multiplex image analysis pipelines for biomarker quantification".
Invited MSK Hospital Research Forum talk on "Spatial Profiling for Quantitative and Predictive Biomarkers".
(Principal Investigator)
(Senior Research Scientist)
(Senior Research Scientist)
(Senior Research Scientist)
(Senior Research Scientist)
(Senior Research Scientist)