Lucem Health Featured in Yahoo Finance Coverage of iRhythm’s Growth Strategy
Yahoo Finance mentions Lucem Health–iRhythm partnership that accelerates early arrhythmia detection and data-driven care.
Sean Cassidy Featured in Patient Safety & Quality Healthcare (PSQH)
PSQH feature: Our CEO explains how the new federal spending law pressures health systems to act fast on costs, Medicaid, and service-line strategy.
Lucem Health announces new initiative to accelerate early detection of Type 1 Diabetes (T1D)
Lucem Health launches Reveal for T1D, using AI and EHR data to identify early-stage T1D, backed by Sanofi to improve diagnosis and outcomes.
Lucem Health Featured in Charlotte Business Journal
Lucem Health featured in Charlotte Business Journal—raised $2.3M to advance AI disease detection and expand its team over the next year.
Lucem Health and iRhythm Announce Strategic Partnership for Early Arrhythmia Detection
Learn how Lucem Health and iRhythm are joining forces to deliver earlier arrhythmia detection, improving lives and reshaping cardiac care.
Foundations of AI for Early Detection of Lung Cancer: Equity and Fairness, Physician Dynamics, and Screening Efficiency
Analyzing AI's critical role in equitable screening, enhancing fairness, physician collaboration, and outcomes in lung cancer detection.
AI’s Role in Liver Disease Detection
Explore how AI technologies are reshaping the future of liver disease detection, management, and patient care.
Foundations of AI for Early Detection of Lung Cancer: Balancing Cost, Efficacy, and Patient Engagement
A deeper look at the relationship between AI and lung cancer screening—from financial and clinical efficiency to patient engagement.
Foundations of AI for Early Detection of Lung Cancer: The Data Fueling AI Models
Explore AI's promise in early lung cancer detection through insights from experts at Lucem Health and Medial EarlySign, addressing challenges and strategies.
Targeting AFib-Related Stroke Patients with Reveal for Stroke
Learn how you can use Reveal for Stroke to take 100,000 screening ECGs and identify nearly 230 higher-risk AFib-related stroke patients.
