Search Results - kamal+hammouda

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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: 3/2/2026   |   Inventor(s): Kamal Hammouda, Tilak Pathak, Anant Madabhushi, Tuomas Mirtti
Keywords(s): Algorithm, AI, and Machine Learning, Data Infrastructure and Analysis, Diagnostics, Molecular Diagnostics, Oncology Treatments, Personalized Medicine, Research Tools
Category(s): TechPub Algolia > Software
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   |   Inventor(s): Sebastian Medina, Kamal Hammouda, Tilak Pathak, Anant Madabhushi, Tuomas Mirtti
Keywords(s): Algorithm, AI, and Machine Learning, Data Infrastructure and Analysis, Diagnostics, Immunology and Inflammation Treatments, Medical Imaging (MRI, CT, Radiology), Molecular Diagnostics, Oncology Treatments, Research Tools
Category(s): TechPub Algolia > Software
Personalized Medicine Using Additive Manufacturing
THE CHALLENGE A major problem posed by the pharmaceutical industry is giving effective dosages while not giving excessive amounts of a particular drug. An estimated 80% of side effects in humans and animals are a direct result of inaccurate dosing because varying weights in patients. Additive manufacturing has emerged as a very promising method to...
Published: 6/26/2025   |   Inventor(s): Emily Wilts, Timothy Long, Christopher Williams, Da Ma
Keywords(s):  
Category(s): Technology Classifications > Additive Manufacturing, Technology Classifications > Biomedical, Technology Classifications > Chemicals/Materials, Technology Classifications > Pharmacology and Therapeutics