New strategy may enable cancer monitoring from blood tests alone

A new, error-corrected method for detecting cancer from blood samples is much more sensitive and accurate than prior methods and may be useful for monitoring disease status in patients following treatment, according to a study by Weill Cornell Medicine and New York Genome Center investigators. The method, based on whole-genome sequencing of DNA, also represents an important step toward the goal of routine blood test-based screening for early cancer detection.
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Complete genome sequences of six ape species unveiled

Differences among the DNA of seven ape species—including humans—are greater than originally thought, according to an international team led by researchers at Penn State, the National Human Genome Research Institute (NHGRI) and the University of Washington. They revealed the genetic details with “complete” reference genomes, which are standardized sequences of a species’ genes and other chromosomal regions.
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Study identifies promising biomarker for early sepsis detection in neonates, children and pregnant women

A study presented at ESCMID Global 2025 has uncovered the potential of interleukin-6 (IL-6) as a powerful diagnostic biomarker for the early detection of sepsis in high-risk patient groups, including neonates, children and pregnant women. This study is the first to evaluate IL-6’s diagnostic performance in a real-world cohort across all three populations.
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AI-generated ‘synthetic scarred hearts’ aid atrial fibrillation treatment

Researchers from Queen Mary University of London have developed an AI tool that creates synthetic yet medically accurate models of fibrotic heart tissue (heart scarring), aiding treatment planning for atrial fibrillation (AF) patients. The study, published in Frontiers in Cardiovascular Medicine, could lead to more personalized care for patients affected by this common heart rhythm disorder.
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