prostate+cancer - Available Technologies | Rutgers University Innovation Ventures

Search Results - prostate+cancer

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Computer-Aided Diagnosis of Cancer by Magnetic Resonance Spectroscopy
Comparison of MRS analysis using three different dataset reduction schemes. The white box corresponds to the potential cancer space defined from whole-mount histological sections. Colors correspond to the classification of tissue: Red = cancerous, blue = benign, green = indeterminate. Left: z-score; Middle: Principal component analysis (PCA); Right:...
Published: 8/23/2019   |   Inventor(s): Anant Madabhushi, Michael Feldman, John Tomaszewski, Satish Viswanath, Pallavi Tiwari, Robert Toth, Mark Rosen
Keywords(s): Imaging, Prostate Cancer
Category(s): Technology Classifications > Software & Algorithms, Technology Classifications > Software & Copyright, Technology Classifications > Healthcare & Life Sciences, Technology Classifications > Diagnostics, Technology Classifications > Medical Imaging, Technology Classifications > Cancer, Technology Classifications > Artificial Intelligence & Machine Learning
Panel & Software to Predict Therapeutic Resistance in Cancer Treatment
Invention Summary: According to the American Cancer Society, prostate cancer is the second most common malignancy in men and the second-highest cancer-related cause of death in American men. Androgen deprivation therapy (ADT), which reduces or prevents male hormones (androgens) from interacting with cancer cells, has been shown to be beneficial in...
Published: 8/23/2019   |   Inventor(s): Antonina Mitrofanova, Sukanya Panja
Keywords(s): Bioinformatics, Biomarkers, Cancer biomarkers, Digital Health, Prostate Cancer
Category(s): Technology Classifications > Software & Copyright, Technology Classifications > Software & Algorithms, Technology Classifications > Healthcare & Life Sciences, Technology Classifications > Diagnostics
Hierarchical Computer-Aided Detection of Abnormal Regions in Medical Images
Receiver operator characteristic curves for detection of prostate cancer at various weights (T) in histological (top) and MRI (bottom) images. Classification is based on multiplicative weighted maximum a posteriori (MWMAP) estimation with iterated conditional modes (ICM). The regions labeled as malignant at three weights are highlighted in green (histology)...
Published: 4/17/2017   |   Inventor(s): James Monaco, Anant Madabhushi, Michael Feldman, John Tomaszewski
Keywords(s): Imaging, Prostate Cancer
Category(s): Technology Classifications > Software & Copyright, Technology Classifications > Software & Algorithms, Technology Classifications > Healthcare & Life Sciences, Technology Classifications > Diagnostics, Technology Classifications > Cancer