Since 1978, with the first IVF (in vitro fertilization) baby birth in Manchester (England), more
than eight million IVF babies have been born throughout the world, and many new …

Radiotherapy aims to achieve a high tumor control probability while minimizing damage to
normal tissues. Personalizing radiotherapy treatments for individual patients, therefore …

We present a survey of the current state-of-the-art in breast cancer detection and prognosis.
We analyze the evolution of Artificial Intelligence-based approaches from using just uni …

The data from lung cancer patients using wearable sensors and clinical assessments after
observation is available to predict the disease's recurrence. In recurrence prediction …

In this paper, we present a network-based clustering method, called vector Wasserstein
clustering (vWCluster), based on the vector-valued Wasserstein distance derived from …

Tumor-associated macrophages (TAMs) take on pivotal and complex roles in the tumor
microenvironment (TME); however, their heterogeneity in the TME remains incompletely …

Directionally sensitive radiomic features including the histogram of oriented gradient (HOG)
have been shown to provide objective and quantitative measures for predicting disease …

MicroRNAs (miRNAs) that are mutually modulated by their interacting partners (interactome)
are being increasingly noted for their significant role in pathogenesis and treatment of …

In August 2022, the Cancer Informatics for Cancer Centers brought together cancer
informatics leaders for its biannual symposium, Precision Medicine Applications in Radiation …

Somatic tumors have a high-dimensional, sparse, and small sample size nature, making
cancer subtype stratification based on somatic genomic data a challenge. Current methods …