Radiomics in prostate cancer: An up-to-date review

M Ferro, O de Cobelli, G Musi… - Therapeutic …, 2022 - journals.sagepub.com
Prostate cancer (PCa) is the most common worldwide diagnosed malignancy in male
population. The diagnosis, the identification of aggressive disease, and the post-treatment …

Emerging hallmarks of metabolic reprogramming in prostate cancer

F Lasorsa, NA di Meo, M Rutigliano, M Ferro… - International Journal of …, 2023 - mdpi.com
Prostate cancer (PCa) is the most common male malignancy and the fifth leading cause of
cancer death in men worldwide. Prostate cancer cells are characterized by a hybrid …

Comparing different machine learning techniques for predicting COVID-19 severity

Y Xiong, Y Ma, L Ruan, D Li, C Lu, L Huang… - Infectious diseases of …, 2022 - Springer
Abstract Background Coronavirus disease 2019 (COVID-19) is still ongoing spreading
globally, machine learning techniques were used in disease diagnosis and to predict …

Radiomics as a new frontier of imaging for cancer prognosis: a narrative review

A Reginelli, V Nardone, G Giacobbe, MP Belfiore… - Diagnostics, 2021 - mdpi.com
The evaluation of the efficacy of different therapies is of paramount importance for the
patients and the clinicians in oncology, and it is usually possible by performing imaging …

Radiogenomics and artificial intelligence approaches applied to cardiac computed tomography angiography and cardiac magnetic resonance for precision medicine …

T Infante, C Cavaliere, B Punzo, V Grimaldi… - Circulation …, 2021 - Am Heart Assoc
The risk of coronary heart disease (CHD) clinical manifestations and patient management is
estimated according to risk scores accounting multifactorial risk factors, thus failing to cover …

An overview of meta-analyses on radiomics: more evidence is needed to support clinical translation

J Zhong, J Lu, G Zhang, S Mao, H Chen, Q Yin, Y Hu… - Insights into …, 2023 - Springer
Objective To conduct an overview of meta-analyses of radiomics studies assessing their
study quality and evidence level. Methods A systematical search was updated via peer …

MRI based radiomics compared with the PI-RADS v2. 1 in the prediction of clinically significant prostate cancer: biparametric vs multiparametric MRI

T Chen, Z Zhang, S Tan, Y Zhang, C Wei… - Frontiers in …, 2022 - frontiersin.org
Purpose To compare the performance of radiomics to that of the Prostate Imaging Reporting
and Data System (PI-RADS) v2. 1 scoring system in the detection of clinically significant …

A framework of analysis to facilitate the harmonization of multicenter radiomic features in prostate cancer

R Castaldo, V Brancato, C Cavaliere, F Trama… - Journal of Clinical …, 2022 - mdpi.com
Pooling radiomic features coming from different centers in a statistical framework is
challenging due to the variability in scanner models, acquisition protocols, and …

Systematic reviews of machine learning in healthcare: a literature review

K Kolasa, B Admassu… - Expert Review of …, 2024 - Taylor & Francis
Introduction The increasing availability of data and computing power has made machine
learning (ML) a viable approach to faster, more efficient healthcare delivery. Methods A …

Circulating miRNA profiles in COVID-19 patients and meta-analysis: implications for disease progression and prognosis

L Gao, EM Kyubwa, MA Starbird, J Diaz de Leon… - Scientific Reports, 2023 - nature.com
We compared circulating miRNA profiles of hospitalized COVID-positive patients (n= 104),
27 with acute respiratory distress syndrome (ARDS) and age-and sex-matched healthy …