A blood test that uses artificial intelligence (AI) to detect cancer-related genetic changes and protein biomarkers could help screen women for early signs of ovarian cancer, according to a new study.

Biomarkers are increasingly recognized for their potential not only as biologic harbingers that provide early warnings of disease but also biochemical monitors of patient responses to therapies.

To improve ovarian cancer screening, researchers led by Johns Hopkins University’s Victor E. Velculescu, MD, PhD, developed a combination liquid biopsy approach. It has three components: measurements ...

Researchers have developed a novel computational pipeline designed to identify protein biomarkers associated with complex diseases, including Alzheimer's disease (AD). This innovative tool analyzes ...

Researchers have used a machine-learning model to analyze blood proteins to estimate the biological, as opposed to the chronological, age of bodily organs. It’s a way of predicting an apparently ...

Diagnostic tools for timely, accurate and inexpensive early cancer detection that can assess risk or monitor response to treatment could help patients get the care they need faster and improve ...

This webinar will showcase state-of-the-art mass spectrometry (MS) platforms that are able to identify protein signatures ...

(a) Deep learning-based circulating exosome analysis for lung cancer detection (copyright American Chemical Society, 2024); (b) The operational mechanism of the Förster resonance energy transfer (FRET ...

MINNEAPOLIS, July 15, 2025 /PRNewswire/ -- Bio-Techne Corporation (NASDAQ: TECH) today announced a strategic partnership to distribute Spear Bio's next-generation ultrasensitive immunoassays, enabling ...

Cellular communication is vital for passing information to neighboring cells. One key messenger in this process is an exosome, a nanosized particle that buds off from a progenitor cell, carrying ...