Skip to content
PICO Portalanswers from OpenAlex

A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography

PaperCitations, authors & open-access status

A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography is a paper indexed in PICO Portal from OpenAlex.

How many citations does A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography have?

PICO Portalcitation count

A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography has 521 citations in the OpenAlex counts PICO Portal stores.

When was A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography published?

PICO Portalyear

A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography has 2019 year in the PICO Portal index.

What is the open-access status of A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography?

PICO Portaloa status

A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography has hybrid oa status in the PICO Portal index.

What is the DOI of A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography?

PICO Portaldoi

The DOI for A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography is on the source record.

What is the PMID of A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography?

PICO Portalpmid

The PMID for A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography is on the source record.

What is the OpenAlex record for A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography?

PICO Portalopenalex

The OpenAlex for A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography is on the source record.

Related on PICO Portal

470M+ articles · 14-day free trial