Benign prostatic hyperplasia (BPH) is one of the most common urologic conditions affecting men as they age, with nearly 50% of men over 50 experiencing symptoms. Despite its prevalence, treatment ...

Alnylam Pharmaceuticals (NasdaqGS:ALNY) reported new Phase 3 HELIOS-B analyses for vutrisiran in ATTR-CM. The data show reductions in all-cause mortality and cardiovascular events, including in ...

Thanks to new regulatory frameworks like the Food and Drug Administration’s Breakthrough Therapy designation, drugs are coming to market faster than ever. A 2024 analysis of drugs included in this ...

Unlike traditional software systems that rely on deterministic rules, artificial intelligence devices frequently use ...

Jeffrey Stark, MD, vice president, head of medical immunology, UCB, discusses ongoing clinical trials and the development of real-world data to understand the effectiveness of bimekizumab-bkzx in a ...

Knowing patient survival rates is critical to informing research and care delivery, particularly in the oncology space. But what if survival data is inaccurate or incomplete? Well, that could ...

New work explaining the inner workings of artificial intelligence could provide a way around the threat of AI "model collapse," potentially averting growing numbers of AI hallucinations in the future.

Mainstream real world asset (RWA) discussions are dominated by traditional finance: U.S. treasuries, private credit, gold-backed tokens, and tokenized real estate. The logic is straightforward: ...

In the late 1800s, the U.S. railroad system didn’t just revolutionize transportation—it catalyzed entirely new industries. Refrigerated railcars enabled a national meatpacking economy. Standard time ...

Delayed IPF diagnosis often results in significant lung function impairment, impacting patient outcomes and increasing hospitalization rates. Antifibrotic therapies, nintedanib and pirfenidone, are ...

Today’s health care leaders are awash in data. There’s no shortage of organizations collecting, structuring, and licensing massive real-world data sets, each touting millions of de-identified “patient ...