Introduction Healthcare systems are complex and challenging for all stakeholders, but
artificial intelligence (AI) has transformed various fields, including healthcare, with the …

Breast cancer remains a leading cause of cancer-related mortality in women, reflecting
profound disease heterogeneity, metastasis, and therapeutic resistance. Over the last …

Background Adjuvant radiotherapy is prescribed after breast-conserving surgery to reduce
the risk of local recurrence. However, radiotherapy is inconvenient, costly, and associated …

Breast cancers are complex cellular ecosystems where heterotypic interactions play central
roles in disease progression and response to therapy. However, our knowledge of their …

Simple Summary Breast cancer is the most common cancer among women. It is estimated
that 2.3 million new cases of BC are diagnosed globally each year. Based on mRNA gene …

Deep learning is a subdiscipline of artificial intelligence that uses a machine learning
technique called artificial neural networks to extract patterns and make predictions from …

Hormone receptor (HR)‐positive and human epidermal growth factor receptor 2 (HER2)‐
negative breast cancer is defined by the presence of the estrogen receptor and/or the …

Feature attributions based on the Shapley value are popular for explaining machine
learning models. However, their estimation is complex from both theoretical and …

The natural mammalian polyamines putrescine, spermidine and spermine are essential for
both normal and neoplastic cell function and replication. Dysregulation of metabolism of …

Wnt signaling is a highly conserved signaling pathway that plays a critical role in controlling
embryonic and organ development, as well as cancer progression. Genome-wide …