4 Results Sort by:
AI-Driven Prognostic and Predictive Model for Muscle-Invasive Bladder Cancer
Application This AI-driven prognostic and predictive model aims to predict outcomes for muscle-invasive bladder cancer (MIBC) patients undergoing neoadjuvant chemo-immunotherapy, aiding in treatment decision-making and patient stratification. Key Benefits Harnesses nuclear morphology and architectural features for precise prognostication in MIBC...
Published: 3/2/2026       Contributor(s): Kamal Hammouda, Tilak Pathak, Anant Madabhushi, Tuomas Mirtti
Predictive Model for Post Surgery Prostate Cancer Recurrence
Application An artificial intelligence based prognostic model for early Biochemical recurrence (BCR) risk assessment of men post-radical prostatectomy. Key Benefits Identifies significant features, including tumor-infiltrating lymphocytes (TIL), in prostate cancer recurrence. Market Summary Prostate cancer is one of the most diagnosed cancers...
Published: 3/2/2026       Contributor(s): Sebastian Medina, Kamal Hammouda, Tilak Pathak, Anant Madabhushi, Tuomas Mirtti
Targeted Candidalysin Binders for Fungal Infection Control
Application A theranostic scaffold-derived protein that neutralizes candidalysin toxin. Key Benefits Different mechanism of action compared to current antifungal drugs, reducing the risk of resistance. Derived from human protein for lower immune response and produced cost-effectively in simple bacterial media. Small size improves tissue penetration...
Published: 2/23/2026       Contributor(s): Sohail Khoshnevis, Eric J. Sundberg, Maros Huliciak
Automated Image Analysis of Bone Histomorphometry Using Deep Learning
Application An automated pipeline for digital phenotyping of brightfield bone biopsy images to generate feature maps for static histomorphometry. Key Benefits Combines automation with deep learning models to improve tissue delineation and quantify tissue and cellular components pertinent to static histomorphometric parameters. Incorporates Morphological...
Published: 4/10/2026       Contributor(s): Satvika Bharadwaj, Anant Madabhushi, Madhumathi Rao, Hartmut Malluche, Florence Lima