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Machine learning-based marker for coronary artery disease: derivation and validation in two longitudinal cohorts

Electronic health record-based machine learning was used to generate an in-silico marker for coronary artery disease that can non-invasively quantify atherosclerosis and risk of death on a continuous spectrum, and identify underdiagnosed individuals.
United States United Kingdom Nat Genet Coll Cardiol Schjerning Olsen Goff Jr

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Patients and Doctors Agree on Treatment Goals Only Half the Time, According to JNCCN Study on People with Neuroendocrine Tumors

Researchers from City of Hope find only 30% of people with neuroendocrine tumors consider living longer to be their single top priority; 70% said addressing and overcoming pain, fatigue, or lack-of-function was more important than just prolonging life. JNCCN announces five new Associate Editors from Duke Cancer Institute, City of Hope, Mayo Clinic Cancer Center, University of Michigan...
United States F Marc Stewart Mehran Yusuf Andrewj Armstrong Margaret Tempero Facebook Nccnorg

Taiho Oncology and Astex Pharmaceuticals Present Overall Survival Data for Oral Decitabine and Cedazuridine (INQOVI®, ASTX727) in Patients With MDS and CMML Harboring TP53 Mutations at 64th ASH An...

Patients in Phase 3 ASCERTAIN study with biallelic TP53 mutations achieved median overall survival (mOS) of 13 months; mOS in the overall study po...
United States New Jersey United Kingdom Michael Savona Garcia Manerog Myelodysplastic Samer Zeidan

New Data Presented at SABCS 2022 Reveal Expanded Predictive Value of the Breast Cancer Index™ Test for Ovarian Function Suppression in Premenopausal Women with HR+ Breast Cancer

The Breast Cancer Index Test Is the First Biomarker to Predict Treatment Benefit in the SOFT Trial ... | December 6, 2022
United States Ruth Oregan Charlesa Dewey American Joint Committee On Cancer American Society Of Clinical Oncology National Comprehensive Cancer Network Inc

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