Machine and deep learning methods for radiomics
Radiomics is an emerging area in quantitative image analysis that aims to relate large‐scale
extracted imaging information to clinical and biological endpoints. The development of …
extracted imaging information to clinical and biological endpoints. The development of …
Machine learning for survival analysis: A survey
Survival analysis is a subfield of statistics where the goal is to analyze and model data
where the outcome is the time until an event of interest occurs. One of the main challenges …
where the outcome is the time until an event of interest occurs. One of the main challenges …
[HTML][HTML] A longitudinal circulating tumor DNA-based model associated with survival in metastatic non-small-cell lung cancer
One of the great challenges in therapeutic oncology is determining who might achieve
survival benefits from a particular therapy. Studies on longitudinal circulating tumor DNA …
survival benefits from a particular therapy. Studies on longitudinal circulating tumor DNA …
[HTML][HTML] The immune landscape of cancer
We performed an extensive immunogenomic analysis of more than 10,000 tumors
comprising 33 diverse cancer types by utilizing data compiled by TCGA. Across cancer …
comprising 33 diverse cancer types by utilizing data compiled by TCGA. Across cancer …
Development and validation of the American Heart Association's PREVENT equations
BACKGROUND: Multivariable equations are recommended by primary prevention
guidelines to assess absolute risk of cardiovascular disease (CVD). However, current …
guidelines to assess absolute risk of cardiovascular disease (CVD). However, current …
Nighttime blood pressure phenotype and cardiovascular prognosis: practitioner-based nationwide JAMP study
K Kario, S Hoshide, H Mizuno, T Kabutoya… - Circulation, 2020 - Am Heart Assoc
Background: Ambulatory and home blood pressure (BP) monitoring parameters are better
predictors of cardiovascular events than are office BP monitoring parameters, but there is a …
predictors of cardiovascular events than are office BP monitoring parameters, but there is a …
[HTML][HTML] A deep learning-based radiomics model for prediction of survival in glioblastoma multiforme
Traditional radiomics models mainly rely on explicitly-designed handcrafted features from
medical images. This paper aimed to investigate if deep features extracted via transfer …
medical images. This paper aimed to investigate if deep features extracted via transfer …
Atherosclerotic carotid plaque composition and incident stroke and coronary events
D Bos, B Arshi, QJA van den Bouwhuijsen… - Journal of the American …, 2021 - jacc.org
Background Increasing evidence suggests that atherosclerotic plaque composition rather
than plaque size is linked to ischemic cardiovascular events, yet largescale population …
than plaque size is linked to ischemic cardiovascular events, yet largescale population …
A polygenic risk score improves risk stratification of coronary artery disease: a large-scale prospective Chinese cohort study
X Lu, Z Liu, Q Cui, F Liu, J Li, X Niu, C Shen… - European heart …, 2022 - academic.oup.com
Aims To construct a polygenic risk score (PRS) for coronary artery disease (CAD) and
comprehensively evaluate its potential in clinical utility for primary prevention in Chinese …
comprehensively evaluate its potential in clinical utility for primary prevention in Chinese …
[HTML][HTML] Vulnerabilities of radiomic signature development: the need for safeguards
Purpose Refinement of radiomic results and methodologies is required to ensure
progression of the field. In this work, we establish a set of safeguards designed to improve …
progression of the field. In this work, we establish a set of safeguards designed to improve …