International standards and best practice supports the implementation of a risk-based solvency regime in the regulation and supervision of insurers. Several emerging market and developing economies ...

AI models analyzing tumor-infiltrating lymphocytes show promise in predicting outcomes for triple-negative breast cancer, but ...

Glaucoma risk can be managed more effectively with the ability to use polygenic risk scores to identify individuals who can ...

Objective Systemic lupus erythematosus (SLE) is an autoimmune disease characterised by a loss of immune tolerance, affecting ...

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Back-testing analysis of the scoring model revealed compelling evidence of its effectiveness in identifying and managing risk ...

DemRisk, dementia prediction model that uses primary care data, can identify at-risk patients, especially those aged between 60 and 79.

The model uses FIB-4, age, sex, race, BMI, diabetes, smoking, and alcohol use for risk assessment. HCC incidence is rising ...

Advisors can tweak the models based on a client’s individual goals and risk tolerance. Model portfolios take a diversified approach to investing, targeting a balance of risk and return based on ...

The training model included 1,199 individuals with diabetes ... Participants with the high-risk DbCM phenotype in the external validation cohorts had a significantly higher incidence of heart failure.

Development of a prediction model using machine learning (ML) method for tumor progression in oral squamous cell carcinoma (OSCC) patients would provide risk estimation for ... development cohort and ...