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

Download Mobile App




Lung Cancer Detection Test Applies Advanced Machine Learning to Whole-Genome Sequencing Data

By LabMedica International staff writers
Posted on 06 Oct 2023

Lung cancer remains the top cause of cancer-related deaths worldwide, with millions at high risk not getting screened due to issues like accessibility and cost. More...

Current screening techniques primarily focus on identifying mutations and changes linked to cancer. Now, a next-generation, blood-based test for screen-eligible individuals could offer an accurate, accessible new way to detect lung cancer in its earliest stages.

DELFI Diagnostics (Baltimore, MD, USA) is developing an early cancer detection test that leverages sophisticated machine learning algorithms. These algorithms analyze whole-genome sequencing data to compare patterns and attributes of an individual's cell-free DNA (cfDNA) against those found in cancerous and non-cancerous populations. Their scientific approach is grounded in fragmentomics, the study of how cancer cells, which are generally more disorderly than normal cells, leave behind specific cfDNA fragments in the blood when they die. By using machine learning in conjunction with whole-genome sequencing, the DELFI platform can sift through millions of data points to accurately identify individuals who might have cancer, including those in the early stages.

DELFI’s fragmentomics-based methodology deploys machine learning algorithms on whole-genome sequencing data from cfDNA that has undergone low-coverage sequencing. This not only allows for the analysis of fragment lengths that could indicate the aberrant packaging of DNA within cancer cells but also reveals other DNA alterations such as mutations, amplifications, and deletions. The company's machine learning tools are compatible with standard laboratory equipment and procedures, making the test both affordable and feasible for mass screening. By analyzing a significantly larger set of molecular data compared to traditional methods, the system can deliver more comprehensive clinical insights. A blood-based screening test for early detection of lung cancer has the potential to be easily integrated into regular healthcare practices, benefiting populations globally.

"Lung cancer is the leading cause of cancer death globally, yet only six percent of the over 15 million Americans who are eligible to be screened annually do so," said Peter B. Bach, M.D., DELFI Chief Medical Officer. "DELFI is built to solve the highest-burden population health issues, starting with lung cancer."

Related Links:
DELFI Diagnostics


Gold Member
Antipsychotic TDM Assays
Saladax Antipsychotic Assays
POC Helicobacter Pylori Test Kit
Hepy Urease Test
New
Automatic Hematology Analyzer
LABAS F9000
New
Gram-Negative Blood Culture Assay
LIAISON PLEX Gram-Negative Blood Culture 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

Hematology

view channel
Image: The microfluidic device for passive separation of platelet-rich plasma from whole blood (Photo courtesy of University of the Basque Country)

Portable and Disposable Device Obtains Platelet-Rich Plasma Without Complex Equipment

Platelet-rich plasma (PRP) plays a crucial role in regenerative medicine due to its ability to accelerate healing and repair tissue. However, obtaining PRP traditionally requires expensive centrifugation... Read more

Immunology

view channel
Image: Prof. Nicholas Schwab has found a biomarker that can predict treatment outcome of glatirameracetate in MS patients (Photo courtesy of Uni MS - M. Ibrahim)

Simple Genetic Testing Could Predict Treatment Success in Multiple Sclerosis Patients

Multiple sclerosis (MS) patients starting therapy often face a choice between interferon beta and glatiramer acetate, two equally established and well-tolerated first-line treatments. Until now, the decision... Read more

Microbiology

view channel
Image: New diagnostics could predict a woman’s risk of a common sexually transmitted infection (Photo courtesy of 123RF)

New Markers Could Predict Risk of Severe Chlamydia Infection

Chlamydia trachomatis is a common sexually transmitted infection that can cause pelvic inflammatory disease, infertility, and other reproductive complications when it spreads to the upper genital tract.... Read more

Pathology

view channel
Image: (A) Normal skin and (B) possible pathology in ALS skin (Photo courtesy of Biomolecules and Biomedicine (2025) DOI: 10.17305/bb.2025.12100)

Skin-Based Biomarkers to Enable Early Diagnosis of Amyotrophic Lateral Sclerosis

Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease that damages motor neurons in the brain and spinal cord, causing muscle weakness, paralysis, and death within three to five... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.