Lung Cancer

Our Purpose:
To be a driving force in the early detection of lung cancer.

Learn More About LungLife's Purpose

November 28, 2022

How Our LungLB®'s Test is Saving Lives

Transcript: Our mission at LungLife is driven from important and compelling statistical data about lung cancer. We have some exciting news to share. Our company is using artificial intelligence to aid with the early detection of lung cancer. LungLife has developed technology that pairs a simple blood draw with artificial intelligence to provide clinicians and […]
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November 28, 2022

Early Detection

Transcript: Our mission at LungLife is driven from important and compelling statistical data about lung cancer. More than 1.5 million indeterminate lung nodules are found every year in the United States just from CT scans alone, and that number will likely rise as additional screening is performed because COVID has been found to produce indeterminate […]
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November 28, 2022

Creating a Different Future

Transcript: Our mission at LungLife is driven from important and compelling statistical data about lung cancer. According to the American Society of Clinical Oncology, Lung cancer is the leading cancer killer in the world. At LungLife, we’re creating a different future. While lung cancer isn’t totally preventable, early detection is key to a positive prognosis. […]
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November 28, 2022

Lung Cancer is Diagnosed Every 14 Seconds

Transcript: Our mission at LungLife is driven from important and compelling statistical data about lung cancer. According to the American Society of Clinical Oncology, more than 2.2 million new people were diagnosed with lung cancer in 2020. That’s one new lung cancer diagnosis every 14 seconds worldwide. Every 14 seconds, someone’s life is turned upside […]
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November 28, 2022

Statistical Data about Lung Cancer

Transcript: Our mission at LungLife is driven from important and compelling statistical data about lung cancer. According to the American Society of Clinical Oncology, Lung cancer is the leading cancer killer in the world. In 2020 alone, almost 1.8 million people died worldwide from lung cancer. To put this number in perspective, 1.8 million people […]
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July 6, 2022

LungLB®'s Impact on the Early Detection of Lung Cancer

Transcript: Hello. My name is Benjamin Katchman, Director of Research and Development at LungLife AI. Today I am going to discuss LungLife’s diagnostic test, LungLB® and the impact that we believe LungLB® will have on improving the early detection of Lung Cancer while simultaneously helping to reduce unnecessary biopsies. At LungLife we have created a […]
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June 6, 2022

Why LungLife AI Implements Quality Systems

Transcript: This is Dan Schoettlin, Director of Quality Assurance with LungLife AI, and today I want to talk about, "Why do we implement quality systems?" When asked, many people say we implement quality systems because various regulations require them. Starting with this reasoning is a major driving factor that results in quality systems that are […]
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May 18, 2022

Early Detection is Crucial in the Fight to Cure Lung Cancer

Transcript: Hello, my name is David Anderson, CFO at LungLife. The ability to detect lung cancer early is crucial in being able to cure this pernicious cancer. Currently, early detection is possible if either you're eligible under a lung cancer screening program using a low dose CT scan as described by the US Preventative Services […]
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April 13, 2022

LungLife CFO, David Anderson, Dispels Myths about Lung Cancer

Transcript: Hello, my name is David Anderson, CFO at Lung Life. At LungLife, our purpose is to be a driving force in the early detection of lung cancer. There are two big myths about lung cancer. Firstly, that if detected, the odds of long term survival are low, and secondly, it's a cancer that only […]
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April 6, 2022

David Anderson, CFO of LungLife, Discusses the Importance of Advocacy Organizations, Such as White Ribbon Project

Transcript: Hello, my name is David Anderson, CFO at LungLife. Advocacy is a crucial component in tackling lung cancer. Foundations can often reach further, and in unique directions, compared to physicians and researchers to provide value to all constituents and stakeholders by making sure everyone's concerns are heard. We were recently introduced to the White […]
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Lung Cancer Diagnostics

LungLife AI’s LungLB® test is positioned to bring certainty into early stage diagnosis confirming for clinicians whether to refer on to biopsy where the LDCT Scan reveals suspicious nodules. Providing a liquid biopsy approach for the patient also promotes a noninvasive monitoring program. LungLife AI is also developing a series of companion diagnostics. Designed for later stage treatments, understanding likely patient therapeutic responses improves outcomes. Patient stratification is also an important component to improve performance metrics in research.

LungLife AI’s liquid biopsy testing is leading the way to more affordable and clinically actionable precision medicine strategies for lung cancer patients.

Artificial Intelligence (AI)

LungLife AI’s diagnostic technology combined with machine learning with image analysis results in workflow efficiencies and improvement in performance. This integrated solution is expected to positively support clinician decision making and ease the burden of increased testing in the healthcare system.

To expand upon the success of the LungLB® testing in increasing clinician and patient confidence in using LDCT scanning, LungLife AI will be applying machine learning algorithms to deliver an integrated high performing approach to an early detection solution in lung cancer.

These algorithms are also expected to be applied in research collaborations to promote new treatment options.

Lung Cancer Diagnostics & AI

LungLife AI’s use of machine learning and artificial intelligence enables life-saving diagnosis of lung cancer. Take a look at how Persistent’s ML algorithms have reduced analysis time by almost 70%, accelerating LungLife AI’s efforts to greatly reduce the impact of a disease that claims around 400 lives per day.

Lung Cancer Today

Early detection is key to improving lung cancer patient outcomes. The National Cancer Institute’s estimates for lung cancer in the United States for 2018 are:

About 234,030 new cases of lung cancer for year 20181

About 154,050 deaths from lung cancer, accounting for 25% of all cancer deaths1

Lack of effective early detection results in a mere 16% of patients being diagnosed at early stages of disease when cure is possible1

It has been estimated as high as 30% of patients receiving curative surgery return to the clinic with recurrence within 2-3 years2

Approximately 20% of lung cancer cases that occur in women in the U.S. and 9% of cases in men are diagnosed in never-smokers. If lung cancer in never-smokers were a separate entity, it would be in the top 10 cancers in the U.S.3

SOURCES
1Howlander N et al. SEER Cancer Statistics Review, 1975-2014, National Cancer Institute. Bethesda, MD, https://seer.caner.gov/csr/1975_2014/, based on November 2016 SEER data submission, posted to the SEER web site, April 2017.

2Schuchert MJ et al. Factors influencing recurrence following anatomic lung resection for clinical stage 1 non- small cell lung cancer. Lung Cancer 2019; 128:145-151

3https://www.statnews.com/2021/01/26/growing-share-of-lung-cancer-turning-up-in-never-smokers/

Publications

Joshua D Kuban, Shahram Tahvilian, Lara Baden, Claudia Henschke, David Yankelevitz, Daniel Leventon, Rebecca Reed, Ashley Brown, Allison Muldoon, Michael J Donovan, Paul C Pagano. Pilot Study of a Novel Liquid Biopsy Test to Discriminate Benign vs. Malignant Processes in Subjects with Indeterminate Pulmonary Nodules [Abstract]. IASLC 2020 Hot Topic Meeting Liquid Biopsy October 2-3, 2020.

Shahram Tahvilian, Chinmay Savadikar, Lara Baden, Daniel Leventon, Rebecca Reed, Ashley Brown, Michael J Donovan, Bhushan Garware, Paul C Pagano. Use of an Artificial Intelligence-Derived Algorithm for Accurate FISH Probe Detection in a Liquid Biopsy Test for Lung Cancer [Abstract]. IASLC 2020 Hot Topic Meeting Liquid Biopsy October 2-3, 2020.

Chinmay Savadikar, Shahram Tahvilian, Lara Baden, Rebecca Reed, Daniel Leventon, Paul Pagano, and Bhushan Garware. 2020. Towards Designing Accurate FISH Probe Detection using 3D U-Nets on Microscopic Blood Cell Images. In Proceedings of the 7th ACM IKDD CoDS and 25th COMAD (CoDS COMAD 2020). Association for Computing Machinery, New York, NY, USA, 282–288. DOI:https://doi.org/10.1145/3371158.3371201.

Katz RL, He W, Khanna A, Fernandez RL, Zaidi TM, Krebs M, Caraway NP, Zhang HZ, Jiang F, Spitz MR, Blowers DP, Jimenez CA, Mehran RJ, Swisher SG, Roth JA, Morris JS, Etzel CJ, El-Zein R. Genetically abnormal circulating cells in lung cancer patients: an antigen-independent fluorescence in situ hybridization-based case-control study. Clin Cancer Res. 2010 Aug 1;16(15):3976-87. doi: 10.1158/1078-0432.CCR-09-3358. Epub 2010 Jul 22. PMID: 20651054; PMCID: PMC2949278.

Katz RL, Zaidi TM, Pujara D, Shanbhag ND, Truong D, Patil S, Mehran RJ, El-Zein RA, Shete SS, Kuban JD. Identification of circulating tumor cells using 4-color fluorescence in situ hybridization: Validation of a noninvasive aid for ruling out lung cancer in patients with low-dose computed tomography-detected lung nodules. Cancer Cytopathol. 2020 Aug;128(8):553-562. doi: 10.1002/cncy.22278. Epub 2020 Apr 22. PMID: 32320527.

Amber Smith, Tanweer Zaidi, Namita Shanbhag, Duy Truong, Joshua Kuban, Ruth L. Katz. Circulating Tumor Cell Detection via a Novel FISH Assay Prior to Lung Biopsy Enables Accurate Prediction of Pulmonary Malignancy: Results of a Liquid Biopsy Study in Seventy-two Patients. Journal of the American Society of Cytopathology (2017) 6, S79eS84

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