AIMC Topic: ATPases Associated with Diverse Cellular Activities

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Applying data science methodologies with artificial intelligence variant reinterpretation to map and estimate genetic disorder prevalence utilizing clinical data.

American journal of medical genetics. Part A Jan 2, 2024
Data science methodologies can be utilized to ascertain and analyze clinical genetic data that is often unstructured and rarely used outside of patient encounters. Genetic variants from all genetic testing resulting to a large pediatric healthcare sy...
Humans Artificial Intelligence Prevalence Data Science Child Genetic Testing ATPases Associated with Diverse Cellular Activities
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Artificial intelligence grading of breast cancer: a promising method to refine prognostic classification for management precision.

Histopathology May 6, 2021
AIM: Artificial intelligence (AI)-based breast cancer grading may help to overcome perceived limitations of human assessment. Here, the potential value of AI grade was evaluated at the molecular level and in predicting patient outcome.
Humans Artificial Intelligence Precision Medicine Prognosis Female Breast Neoplasms Biomarkers, Tumor Cohort Studies Treatment Outcome Neoplasm Grading Survival Analysis Image Interpretation, Computer-Assisted Databases as Topic Cell Cycle Proteins ATPases Associated with Diverse Cellular Activities
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