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





Tell Me About It

By CLN Stat
Posted on 14 Dec 2020
Special session talk show highlights novel machine learning algorithm that incorporates serial hs-cTn measurements, other inputs to estimate emergency patients’ risk of myocardial infarction.

A talk show at the 2020 AACC Annual Scientific Meeting & Clinical Lab Expo highlights the experiences of two scientists who applied a machine learning algorithm to predict patients’ likelihood of myocardial infarction (MI). More...
Fred Apple, PhD, DABCC, and Yader Sandoval, MD, FACC, FSCAI, will discuss their findings during this special session at 3 p.m. (U.S. Central Standard Time) on December 13.

This algorithm, designated as the myocardial-ischemia-injury-index (MI3), was developed by Abbott Diagnostics under the patent #US2017/0296085 A1, said Apple, medical director of clinical laboratories, clinical chemistry, clinical and forensic toxicology, and point-of-care testing at Hennepin Healthcare in Minneapolis. Investigators would use this in patients with suspected MI to reflect an individual’s likelihood of having a type 1 MI.

Use of data analytics in laboratory medicine is a key area of AACC’s strategic plan. The 2020 Annual Meeting Organizing Committee (AMOC) “felt it would be of interest to have an interactive talk show format presentation on how algorithms can help providers utilize laboratory testing results and improve patient outcomes,” explained AMOC Chair Paul Jannetto, PhD, DABCC, FAACC. Historically, a time gap has existed between AACC University sessions on Sunday and Annual Scientific Meeting opening plenary.

AMOC added this timely interactive session on machine learning and MI for this unique time slot, he added.

Apple, Sandoval—an interventional cardiologist and senior associate consultant at the Mayo Clinic in Rochester, Minnesota—and others have been studying the MI3 algorithm in suspected type 1 MI, type 2 MI, and nonischemic myocardial injury patients presenting at emergency departments. “It incorporates ‘age, sex, and serial high-sensitivity cardiac troponin (hs-cTn) concentrations’ using gradient boosting to compute a value between 0 and 100 to reflect an individual’s likelihood of MI or no MI,” said Apple.

This allows for an individualized and objective assessment to identify low- and high-risk patients to assist in early patient management, he continued.

At this point, interested labs would have to contact Abbott to request use of the algorithm, and only for research purposes, clarified Apple. As far as he and his colleagues are aware, the U.S. Food and Drug Administration has not cleared it for use in patients, nor has it received the Conformitè Europëenne mark. “Investigators are studying MI3 against established early hs-cTn monitoring to determine its independent benefit compared to current early rule-out/rule-in protocols used globally,” noted Apple.

Physicians, pathologists, PhD scientists, laboratory directors, technologists, and in vitro diagnostic industry scientists are encouraged to attend this session. Participants will “come away with an education regarding a new and exciting concept that may provide a new ‘personalized laboratory medicine’ tool to help manage patients with the goal of improving outcomes,” said Apple.

This special session takes place on December 13 from 3–4 p.m. U.S. Central Standard Time and is worth 1 ACCENT credit.

Related Links:
AACC’s Annual Meeting Talk Show Machine Learning and MI
2020 AACC Annual Scientific Meeting & Clinical Lab Expo

Gold Member
Antipsychotic TDM Assays
Saladax Antipsychotic Assays
Collection and Transport System
PurSafe Plus®
New
Automatic Chemiluminescence Immunoassay Analyzer
Shine i2000
New
Sperm Quality Analyis Kit
QwikCheck Beads Precision and Linearity Kit
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: Dormant tumor cells evade imaging tests and may later reactivate to spread metastatic breast cancer (Photo courtesy of David A. Litman/Shutterstock)

MRD Testing Can Identify Breast Cancer Survivors at Higher Risk of Recurrence

Breast cancer survival rates continue to improve, but recurrence remains incurable and affects around 30% of patients. Some subtypes, like triple negative and HER2+, relapse within years, while ER+ cancers... Read more

Hematology

view channel
Image: New research points to protecting blood during radiation therapy (Photo courtesy of 123RF)

Pioneering Model Measures Radiation Exposure in Blood for Precise Cancer Treatments

Scientists have long focused on protecting organs near tumors during radiotherapy, but blood — a vital, circulating tissue — has largely been excluded from dose calculations. Each blood cell passing through... Read more

Immunology

view channel
Image: The test could streamline clinical decision-making by identifying ideal candidates for immunotherapy upfront (Xiao, Y. et al. Cancer Biology & Medicine July 2025, 20250038)

Blood Test Predicts Immunotherapy Efficacy in Triple-Negative Breast Cancer

Triple-negative breast cancer (TNBC) is an aggressive subtype lacking targeted therapies, making immunotherapy a promising yet unpredictable option. Current biomarkers such as PD-L1 expression or tumor... Read more

Technology

view channel
Image: The sensor can help diagnose diabetes and prediabetes on-site in a few minutes using just a breath sample (Photo courtesy of Larry Cheng/Penn State)

Graphene-Based Sensor Uses Breath Sample to Identify Diabetes and Prediabetes in Minutes

About 37 million U.S. adults live with diabetes, and one in five is unaware of their condition. Diagnosing diabetes often requires blood draws or lab visits, which are costly and inconvenient.... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.