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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. TOOL · arXiv cs.NE (Neural & Evolutionary) English(EN) ·

    Developing a novel Comorbidities Index for predicting 10-year mortality in Prostate Cancer patients: A computational data-driven approach

    Researchers have developed a new computational framework to create a more accurate comorbidity index for prostate cancer patients eligible for radical prostatectomy. This data-driven approach uses Population-Based Bio-Inspired Algorithms to recalibrate comorbidity weights and optimize models for predicting ten-year survival. The new index, particularly when incorporating prostate cancer-specific variables, shows improved performance over existing indices like the Charlson Comorbidities Index, offering a more refined tool for patient selection and potentially avoiding overtreatment. AI

    IMPACT Provides a more accurate tool for medical professionals to assess patient risk and guide treatment decisions.

  2. TOOL · arXiv cs.NE (Neural & Evolutionary) English(EN) ·

    Developing a novel Comorbidities Index for predicting 10-year mortality in Prostate Cancer patients: A computational data-driven approach

    Researchers have developed a new computational framework to create a more accurate comorbidity index for prostate cancer patients. This data-driven approach uses bio-inspired algorithms to recalibrate existing comorbidity weights, aiming to better predict ten-year mortality risk. The updated index, particularly when incorporating prostate cancer-specific variables, shows improved performance over traditional methods in identifying patients suitable for radical treatment. AI

    IMPACT Enhances clinical decision-making for prostate cancer treatment by providing a more accurate mortality risk assessment.