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
LGC Clinical Diagnostics

Download Mobile App




AI Microscope Spots Deadly Blood Clots Before They Strike

By LabMedica International staff writers
Posted on 16 May 2025

Platelets are small blood cells that act as emergency responders in the body, rushing to areas of injury to help stop bleeding by forming clots. More...

However, sometimes platelets can overreact, leading to complications. In heart disease, particularly coronary artery disease (CAD), platelets play a critical role by contributing to the formation of blood clots within arteries, which can cause heart attacks or strokes. To reduce the risk of dangerous clots, patients with CAD often receive antiplatelet drugs. Despite this, it remains challenging to accurately assess how well these drugs are working for each patient, making the ability to monitor platelet activity a vital objective for healthcare professionals and researchers. Now, a research breakthrough allows for the observation of clotting activity in blood as it happens, without the need for invasive procedures.

In a new study, researchers from the University of Tokyo (Tokyo, Japan) utilized a novel microscope and artificial intelligence (AI) to monitor platelet aggregation in patients with CAD, paving the way for safer, more tailored treatments. The study published in Nature Communications highlights the system designed to track platelets in motion using a high-speed optical device combined with AI analysis. The team employed a frequency-division multiplexed (FDM) microscope, a sophisticated device that operates like a super-fast camera capturing detailed images of blood cells in flow. Similar to traffic cameras that record every vehicle, this microscope takes thousands of snapshots of moving blood cells per second. By analyzing these images with AI, the system can distinguish between individual platelets (akin to a single car), platelet clumps (like a traffic jam), and even white blood cells (comparable to a police car in the jam).

The researchers tested this technique on blood samples from over 200 patients. The results revealed that patients with acute coronary syndrome exhibited a higher number of platelet aggregates compared to those with chronic symptoms, indicating that the technology could effectively monitor clotting risk in real time. One of the most significant findings was that a simple blood draw from the arm—rather than from the coronary arteries—could provide almost identical information. Typically, to understand what’s happening in the arteries, doctors must perform invasive procedures, such as inserting a catheter into the wrist or groin to collect blood. However, this study demonstrated that a regular blood sample taken from the arm can yield valuable insights into platelet activity in the arteries, making the process safer, more convenient, and less invasive. The ultimate goal of this research is to enable doctors to offer more personalized treatments for heart disease.

“Just like some people need more or less of a painkiller depending on their body, we found that people respond differently to antiplatelet drugs. In fact, some patients are affected by recurrent thrombosis and others are suffering from recurrences of bleeding events even on the same antiplatelet medications,” said Dr. Kazutoshi Hirose, an assistant professor at the University of Tokyo Hospital and lead author of the study. “Our technology can help doctors see how each individual’s platelets are behaving in real time. That means treatments could be adjusted to better match each person’s needs.”


New
Gold Member
Human Chorionic Gonadotropin Test
hCG Quantitative - R012
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Alpha-Fetoprotein Reagent
AFP Reagent Kit
New
FOB+Transferrin+Calprotectin+Lactoferrin Test
CerTest FOB+Transferrin+Calprotectin+Lactoferrin Combo Test
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

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.