Cancer Diagnostics – News and Features

News
Study Reveals Accuracy of AI-Supported Breast Cancer Screening
New results indicate that AI-supported breast screening can detect 29% more cancer cases than traditional screening.

News
AI Can Help Boost Cancer Treatment Efficacy, But Doctors Remain Key
A study from Moffitt Cancer Center and the University of Michigan shows that AI-assisted radiotherapy can help doctors make more consistent treatment decisions for lung and liver cancer. However, doctors' trust in AI recommendations varies.

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Blood Test May Guide Anti-Inflammatory Drug Use To Reduce Colon Cancer Risk
A study finds that celecoxib improves disease-free survival in stage 3 colon cancer patients with positive ctDNA after surgery. The analysis highlights ctDNA’s predictive role in identifying patients who may benefit from anti-inflammatory drugs.

Article
Key Strategies for Optimizing NGS Workflows
In this article, Momin Shah discusses how to ensure that NGS protocols are optimized from the outset to save time and costs on new research projects.

Article
The Impact of Functional Genomics in Drug Discovery
Functional genomics can help deconvolute the link between genotype and phenotype in disease, revealing new drug targets and progressing understanding of existing drugs.

News
Preventing Cancer Metastases With Cardiac Drug
Successful test in breast cancer patients: the active agent digoxin, a cardiac medication, dissolves clusters of circulating breast cancer cells in the blood, thus reducing the risk of metastases formation.

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Machine Learning-Powered Blood Test Enables Detection of Multiple Cancers
A new machine learning-powered blood test can detect multiple types of cancer in their earliest stages.

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New ctDNA Test Predicts Lung Cancer Relapse Risk and Survival
A study finds that a sensitive test detecting circulating tumour DNA (ctDNA) in early-stage lung cancer can predict relapse risk and survival. This approach could help doctors personalize treatment and improve patient outcomes.

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40% Drop in Lung Cancer Deaths Using Biomarker Testing Trial
A study has demonstrated that biomarker testing in smokers and ex-smokers can reduce lung cancer deaths by 40%. This large-scale trial highlights how measurable biological indicators enable earlier detection of lung cancer, improving survival rates.

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Study Detects Cancer Cells With Biolasers
University of Michigan researchers developed a biolaser-based method to detect circulating tumor cells in pancreatic and lung cancer patients. By combining cell lasers with machine learning, the technique identifies tumor cells with 99% accuracy.
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