Machine learning is an important artificial intelligence technique that is widely applied in cancer diagnosis and detection.More recently, with the rise of personalised and precision medicine, there is a growing trend towards machine learning applications for prognosis prediction.However, to date, building reliable prediction models of cancer outco
The former Soviet Union disintegrated three decades ago.That momentous 1991 was not only the starting point for independence of the countries of the post-Soviet space but also the starting point for their transformation from centrally planned economy to capitalism, often with local specificities.At the moment of writing this article aiming at analy
We compare oscillator- and level-based analog computing devices in a noisy environment.The computational model of a Hopfield network is implemented using both level- and juicy licorice phase-based signal representations, and these models are simulated assuming both 1/f and thermal noise.The oscillator-based computing architecture turns out to be mo
Abstract Background Characterization of breast cancer (BC) through the determination of conventional markers such as ER, PR, HER2, and Ki67 has been useful as a predictive and therapeutic tool.Also, assessment of tumor-infiltrating lymphocytes has been proposed as an important prognostic aspect to be considered in certain BC subtypes.However, there