HistoIndex Launches AI-Based FibroSIGHT Plus for Enhanced Fibrosis Assessment
HistoIndex has launched FibroSIGHT Plus, its second Laboratory Developed Test (LDT) in the United States, announced in a press release. This new test builds on the earlier FibroSIGHT by incorporating automated quantitative analysis of fibrosis, a significant advancement for diagnosing and tracking Metabolic Dysfunction-associated Steatohepatitis (MASH).
At the core of FibroSIGHT Plus is qFibrosis, HistoIndex's proprietary AI-driven algorithm. This technology leverages stain-free Second Harmonic Generation (SHG) imaging to automatically quantify multiple fibrosis-related collagen features in liver biopsies. The result is a continuous scale measurement of fibrosis, offering detailed insights into disease severity and enabling clinicians to better characterize and monitor patients over time.
FibroSIGHT Plus provides a standardized and objective measurement across biopsy specimens, reducing variability and enhancing confidence in fibrosis assessment. This advancement supports more personalized and data-driven treatment decisions, marking a significant step forward in integrating digital pathology solutions into routine patient care.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Life Sciences
Sep 30 Insilico Medicine Selects AI Designed Obesity Drug Candidate ISM1354 Sep 29 Truven launches MarketScan Snapshot for healthcare data checks Sep 29 Omega Healthcare Wins Gold in 2026 AI Breakthrough Awards Sep 29 Phylo Launches Target Atlas for Drug Target Prioritization Sep 29 ChromAgeNet Detects Aging Signs in Blood Stem Cell ImagesLife AI Weekly
Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
MGI Tech Launches VisiOmics in Europe
MediSights Reports Study Using AI Agents for Myeloma Market Research
Caristo Diagnostics Presents AI Heart CT Data at ESC Congress 2026
QC Healthcare Partners With Sanguina for AI Blood Health Screening
ACROBiosystems Launches ACRO AIx and Rapid Antibody Validation Service
Daily AI Brief: the AI news that matters, in your inbox.