Interventional cardiologists know well the phrase “change is the only constant.” This is especially relevant as innovative software solutions continue to emerge which provide value on two impactful fronts — clinical workflow and patient outcomes.



Numerous indicators make clear that the next five years will usher in extreme transformation for a multitude of industries and sectors as well as the global economy at large. This begs the question: what is driving such significant and rapid change? This big question just might be answered in two words: alternative data. 


Reflecting back, 2022 has been a productive year. It brought with it many changes and challenges, but also brought back some of the normalcy the industry has not experienced over the past two years since the onslaught of the pandemic.

November 8, 2022 — Genomic-based therapies for cardiovascular disease are emerging fast in research, and could soon be used regularly in hospitals and practices around the world — changing future treatment, said Ann Marie Schmidt, MD, FAHA.

November 8, 2022 — After hospital discharge for heart failure, people treated with either loop diuretic medication furosemide or torsemide had similar death and hospitalization rates, according to late-breaking science researchpresented today at the

November 8, 2022 — A single IV infusion of NTLA-2001, a novel CRISPR/Cas9-based gene editing therapy, significantly reduced circulating transthyretin (TTR) protein levels in patients with ATTR amyloid cardiomyopathy, a progressive and fatal cause of heart failure, according to late-breaking research presented today at the American Heart Association’s Scientific Sessions 2022. The meeting, held in person in Chicago and virtually, Nov.

November 8, 2022 — Fujifilm Healthcare Americas Corporation, a leading provider of diagnostic and enterprise imaging solutions, announced the U.S.

November 7, 2022 — HeartFlow, Inc., the leader in revolutionizing precision heartcare, today announced new trial results that show evaluating patients with suspected CAD by applying advanced artificial intelligence (AI) to CCTA allows for more accurate non-invasive diagnosis, reduces unnecessary testing, and offers higher confidence in identifying patients needing treatment. 

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