We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
ZeptoMetrix an Antylia scientific company

Download Mobile App




Events

02 Jun 2025 - 04 Jun 2025
11 Jun 2025 - 13 Jun 2025

AI Tool Rapidly Analyzes Gene Activities in Medical Images to Highlight Hidden Cancers

By LabMedica International staff writers
Posted on 03 Jan 2024

A novel artificial intelligence (AI) tool, designed to interpret medical images with exceptional clarity, is set to revolutionize the way clinicians approach disease diagnosis and image analysis. More...

This advanced tool, named iStar (Inferring Super-Resolution Tissue Architecture), was developed by researchers at the Perelman School of Medicine at the University of Pennsylvania (Philadelphia, PA, USA). It can assist healthcare professionals in diagnosing and treating cancers that might otherwise remain undetected. iStar offers an in-depth view of individual cells and a broader look at the full range of human gene activity, potentially revealing cancer cells that were nearly invisible earlier. This tool could play a crucial role in confirming whether cancer surgeries have fully removed malignancies and provide automatic annotations for microscopic images, marking a significant leap toward molecular-level disease diagnosis. One of the standout capabilities of iStar is its automatic identification of crucial anti-tumor immune formations known as "tertiary lymphoid structures," which are indicators of a patient's survival prospects and their likely response to immunotherapy. This precision makes iStar a powerful tool for selecting the right patients for immunotherapy treatments.

The researchers put iStar to the test across various cancer types, including breast, prostate, kidney, and colorectal cancers, alongside healthy tissue samples. In these trials, iStar automatically detected tumor and cancer cells that were challenging to spot with the naked eye. With iStar as an additional support layer, clinicians might soon be able to diagnose more elusive cancers effectively. Moreover, iStar operates at a remarkably fast pace compared to similar AI tools. In a trial with a breast cancer dataset, iStar completed its analysis in a mere nine minutes, whereas the closest competing AI tool took over 32 hours to deliver a comparable analysis. This makes iStar an astounding 213 times faster, offering a significant advantage in time-sensitive clinical environments.

“The power of iStar stems from its advanced techniques, which mirror, in reverse, how a pathologist would study a tissue sample,” explained Mingyao Li, Ph.D., a professor of Biostatistics and Digital Pathology. “Just as a pathologist identifies broader regions and then zooms in on detailed cellular structures, iStar can capture the overarching tissue structures and also focus on the minutiae in a tissue image.”

Related Links:
Perelman School of Medicine


Gold Member
Pharmacogenetics Panel
VeriDose Core Panel v2.0
Gold Member
Serological Pipet Controller
PIPETBOY GENIUS
New
Myocardial Infarction Test
Finecare cTn I/NT-proBNP Rapid Quantitative Test
New
Shaking Incubator
Corning LSE 71L
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Molecular Diagnostics

view channel
Image: New biomarkers could someday make it easy to spot Parkinson’s disease in a patient’s blood sample (Photo courtesy of Shutterstock)

Unique Blood-Based Genetic Signature Can Diagnose Parkinson’s Disease

Parkinson's disease is primarily recognized for its impact on the central nervous system. Recent scientific progress has shifted focus to understanding the involvement of the immune system in the onset... Read more

Hematology

view channel
Image: CitoCBC is the world first cartridge-based CBC to be granted CLIA Waived status by FDA (Photo courtesy of CytoChip)

Disposable Cartridge-Based Test Delivers Rapid and Accurate CBC Results

Complete Blood Count (CBC) is one of the most commonly ordered lab tests, crucial for diagnosing diseases, monitoring therapies, and conducting routine health screenings. However, more than 90% of physician... Read more

Immunology

view channel
Image: Custom hardware and software for the real-time detection of immune cell biophysical signatures in NICU (Photo courtesy of Pediatric Research, DOI:10.1038/s41390-025-03952-y)

First-Of-Its-Kind Device Profiles Newborns' Immune Function Using Single Blood Drop

Premature infants are highly susceptible to severe and life-threatening conditions, such as sepsis and necrotizing enterocolitis (NEC). Newborn sepsis, which is a bloodstream infection occurring in the... Read more

Technology

view channel
Image: Concept of biosensor integrated into hygiene pads enabling direct semi-quantitative analysis of biomarkers in unprocessed menstruation blood (Photo courtesy of Dosnon, L et al. DOI: 10.1002/advs.202505170)

First Ever Technology Recognizes Disease Biomarkers Directly in Menstrual Blood in Sanitary Towels

Over 1.8 billion people menstruate worldwide, yet menstrual blood has been largely overlooked in medical practice. This blood contains hundreds of proteins, many of which correlate with their concentration... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.