The goals of this review paper on deep learning (DL) in medical imaging and radiation
therapy are to (a) summarize what has been achieved to date;(b) identify common and …

Cancer has been characterized as a heterogeneous disease consisting of many different
subtypes. The early diagnosis and prognosis of a cancer type have become a necessity in …

Mass spectrometry-based proteomic technique has become indispensable in current
exploration of complex and dynamic biological processes. Instrument development has …

Molecular profiles of tumors and tumor-associated cells hold great promise as biomarkers of
clinical outcomes. However, existing data sets are fragmented and difficult to analyze …

Imaging biomarkers (IBs) are integral to the routine management of patients with cancer. IBs
used daily in oncology include clinical TNM stage, objective response and left ventricular …

A comprehensive approach to sample size determination and power with applications for a
variety of fields Sample Size Determination and Power features a modern introduction to the …

The dynamic world of big data in the healthcare sector characterized by huge numbers,
complexity, and speeds is also not suited to conventional research methods. Methods are …

The etiology of schizophrenia (SCZ) is regarded as one of the most fundamental puzzles in
current medical research, and its diagnosis is limited by the lack of objective molecular …

The discovery of proper molecular signature from OMIC data is indispensable for
determining biological state, physiological condition, disease etiology, and therapeutic …

We describe a technique for comparing distributions without the need for density estimation
as an intermediate step. Our approach relies on map** the distributions into a reproducing …