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
INTEGRA BIOSCIENCES AG

Download Mobile App




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
Troponin T QC
Troponin T Quality Control
Verification Panels for Assay Development & QC
Seroconversion Panels
New
PSA Test
Humasis PSA Card
New
TRAcP 5b Assay
TRAcP 5b (BoneTRAP) Assay
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

Clinical Chemistry

view channel
Image: The GlycoLocate platform uses multi-omics and advanced computational biology algorithms to diagnose early-stage cancers (Photo courtesy of AOA Dx)

AI-Powered Blood Test Accurately Detects Ovarian Cancer

Ovarian cancer ranks as the fifth leading cause of cancer-related deaths in women, largely due to late-stage diagnoses. Although over 90% of women exhibit symptoms in Stage I, only 20% are diagnosed in... 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: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Technology

view channel
Image: The new algorithms can help predict which patients have undiagnosed cancer (Photo courtesy of Adobe Stock)

Advanced Predictive Algorithms Identify Patients Having Undiagnosed Cancer

Two newly developed advanced predictive algorithms leverage a person’s health conditions and basic blood test results to accurately predict the likelihood of having an undiagnosed cancer, including ch... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.