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AI-Powered Collagen Architecture Analysis for Personalized Cancer Diagnosis
Application
Uses artificial intelligence to analyze collagen fiber architecture in digital pathology images to predict cancer prognosis and support personalized treatment decisions.
Key Benefits
Uses routinely acquired digital pathology images to provide prognostic information without requiring additional tissue testing.
Delivers interpretable...
Published: 9/2/2026
Contributor(s): Reetoja Nag, German Corredor Prada, Tilak Pathak, Anant Madabhushi
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AI-Powered Immune Profiling for Cancer Prognosis
Application
Uses AI analysis of immune cells in pathology images to predict cancer prognosis and support personalized treatment decisions.
Key Benefits
Quantifies immune cell characteristics from pathology images to provide objective prognostic information.
Captures both immune cell abundance and spatial relationships within the tumor microenvironment.
May...
Published: 8/28/2026
Contributor(s): Arpit Aggarwal, Anant Madabhushi, German Corredor Prada
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3D Gland Network Analysis for Cancer Prognosis
Application
Uses AI analysis of three-dimensional gland architecture in pathology images to predict cancer recurrence risk and support treatment decisions.
Key Benefits
Captures clinically relevant 3D gland architecture that may be missed in conventional 2D pathology evaluation.
Provides objective, quantitative prognostic information to imrpove...
Published: 8/28/2026
Contributor(s): Jennifer Salguero Lopez, Hisham Abdeltawab, Kamal Hammouda, German Corredor Prada, Anant Madabhushi, Jonathan T.C. Liu, Sebastian Medina, Pushkar Mutha
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MTHFD2-Targeting Peptide Decoy for Chemotherapy-Resistant Cancers
Application
An engineered decoy peptide, DMp39, targeting DLAT-MTHFD2 interaction, as a sensitizer for chemotherapy resistant cancer treatment.
Key Benefits
Restores chemotherapy sensitivity in resistant tumors.
Targets the DLAT-MTHFD2 pathway with high specificity and minimal off-target toxicity.
Market Summary
Chemotherapy resistance remains...
Published: 9/9/2026
Contributor(s): Sumin Kang, Jung Seok Hwang, Jaehyun Kim
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MPL Protein Targeting for Cancer Therapy and Transplant Preparation
Application
Non-genotoxic hematopoietic stem cell transplantation conditioning regimen.
Key Benefits
Selective depletion of hematopoietic stem cells creates adequate niche space to allow donor engraftment without significant off target effect.
Non-genotoxic conditioning regimen.
CAR-T cells can have an anti-MPL positive leukemia effect before...
Published: 7/21/2026
Contributor(s): Shanmuganathan (Shan) Chandrakasan, H. (Harold) Trent Spencer, Christopher Doering, Lauren Fleischer, Gianna Branella, Jaquelyn Zoine, Harrison Brown
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SMuRF: Software for Predicting Outcomes in Head and Neck Cancer
Application
Novel data learning framework for integrating radiology and pathology data for discovering prognostic biomarkers and predicting outcomes in head and neck cancer.
Key Benefits
Integrates radiology and pathology data to improve risk prediction for head and neck cancer and support more informed treatment decisions.
Can analyze multiple...
Published: 8/11/2026
Contributor(s): Bolin Song, Amaury Leroy, Anant Madabhushi
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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: 9/9/2026
Contributor(s): Kamal Hammouda, Tilak Pathak, Anant Madabhushi, Tuomas Mirtti
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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
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Precision Neo-Cysteine Molecular Glues to Restore Protein-Protein Interactions in Disease
Application
Molecular glues designed to selectively bind mutated neo-cysteine residues and restore disease-disrupted protein–protein interactions (PPIs), offering a precision therapeutic approach for conditions such as cancer where loss or weakening of critical protein interactions drives tumor growth and progression.
Key Benefits
Provides...
Published: 8/20/2026
Contributor(s): Xiulei Mo, Haian Fu
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Next Gen Immune-Optimized Gene Delivery
Application
An advanced gene therapy approach that improves therapeutic efficiency by protecting transgene expressing cells from host immune responses, through modulation of a key immune checkpoint pathway.
Key Benefits
Potential for enhanced efficiency across viral and non-viral gene delivery systems, including AAV, lentivirus, LNPs, and electroporation.
Enables...
Published: 8/20/2026
Contributor(s): Matthew (Matt) Gardner, Michael Kuipa, Abubakarr Koroma, Isai Leguizamo
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