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Visualizing Radiological Data Bias with Persistence Images

November 25, 2024

Persistence images represent a powerful new tool in our ongoing efforts to visualize, understand, and mitigate biases in radiological data interpretation and AI model development.”BUFFALO, NY - November 25, 2024 –... read more

Oncotarget

Persistence Barcodes: Reducing Bias in Radiological Analysis

November 20, 2024

Persistence barcodes emerge as a promising tool in radiological analysis, offering a novel approach to reduce bias and uncover hidden patterns in medical imaging.”BUFFALO, NY - November 20, 2024 – A... read more

Oncotarget

Behind the Study: DLL3, ASC1, TTF-1 & Ki-67 in Precision Medicine for SCLC

November 18, 2024

Samuel Silva from the Department of Pathology at Federal University of Ceará in Fortaleza, Brazil, discusses a research paper he co-authored that was published in Oncotarget Volume 15, titled, “Relationship... read more

Oncotarget

Reducing Bias in Radiology with Topological Data Analysis

November 18, 2024

By providing a more comprehensive, robust, and interpretable framework for analyzing medical imaging data, TDA has the potential to enhance the accuracy and fairness of radiological assessments.”BUFFALO, NY - November... read more

Oncotarget

Extracellular Matrix and Tumor-Immune Interactions: Challenges & Opportunities

November 12, 2024

This review explores our current understanding of how ECM geometry influences the behaviors of both immune cells and tumor cells, which in turn impacts treatment efficacy and cancer evolutionary progression.”... read more