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Predictive models for personalized precision medical intervention in spontaneous regression stages of cervical precancerous lesions.

Simin HeGuiming ZhuYing ZhouBoran YangJuping WangZhaoxia WangTong Wang
Published in: Journal of translational medicine (2024)
In contrast to current cervical cancer prediction models, our model's prognostic capabilities extend to the spontaneous regression stage of cervical cancer. This model aids clinicians in real-time monitoring of lesions and in developing personalized treatment or follow-up plans by assessing individual risk factors, thus fostering lesion spontaneous reversal and aiding in cervical cancer prevention and reduction.
Keyphrases
  • risk factors
  • randomized controlled trial
  • healthcare
  • magnetic resonance
  • palliative care
  • health insurance
  • computed tomography
  • replacement therapy