Advances in breast cancer risk modeling: Integrating clinics, imaging, pathology and artificial intelligence for personalized risk assessment
F Pesapane, O Battaglia, G Pellegrino… - Future …, 2023 - Taylor & Francis
Breast cancer risk models represent the likelihood of developing breast cancer based on
risk factors. They enable personalized interventions to improve screening programs …
risk factors. They enable personalized interventions to improve screening programs …
[HTML][HTML] Clinical network systems biology: traversing the cancer multiverse
I Mambetsariev, J Fricke, SB Gruber, T Tan… - Journal of Clinical …, 2023 - mdpi.com
In recent decades, cancer biology and medicine have ushered in a new age of precision
medicine through high-throughput approaches that led to the development of novel targeted …
medicine through high-throughput approaches that led to the development of novel targeted …
[HTML][HTML] Endometrial cancer diagnostic and prognostic algorithms based on proteomics, metabolomics, and clinical data: a systematic review
A Romano, TL Rižner, HMJ Werner, A Semczuk… - Frontiers in …, 2023 - frontiersin.org
Endometrial cancer is the most common gynaecological malignancy in developed countries.
Over 382,000 new cases were diagnosed worldwide in 2018, and its incidence and mortality …
Over 382,000 new cases were diagnosed worldwide in 2018, and its incidence and mortality …