lung cancer
PulseAugur coverage of lung cancer — every cluster mentioning lung cancer across labs, papers, and developer communities, ranked by signal.
6 day(s) with sentiment data
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5 Million Americans Lose ACA Health Insurance, Sparking Public Health Concerns
Approximately five million Americans have lost their health insurance through the Affordable Care Act marketplace, according to new data from the Department of Health and Human Services. This decline is attributed by th…
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OncoSynth framework generates synthetic oncology data for improved treatment effect estimation
Researchers have developed OncoSynth, a new machine learning framework designed to generate synthetic oncology patient data. This framework addresses the limitations of existing methods by preserving causal relationship…
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Quartz countertop workers face deadly silicosis epidemic
Workers who cut and polish engineered stone countertops, often marketed as "quartz," are developing a severe and rapidly progressing form of silicosis. This preventable lung disease, similar to asbestos exposure, can le…
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AI models predict lung cancer survival from PET/CT scans
Researchers have developed new AI models, ATCS and MTS, to predict overall survival in lung cancer patients using PET/CT scans. These models outperformed a baseline TCS model, achieving AUCs of 0.794 and 0.793 respectiv…
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Targeted therapy turns advanced lung cancer into chronic illness
A global study co-led by the Chinese University of Hong Kong has demonstrated that the targeted therapy lorlatinib can prevent disease progression in over half of advanced lung cancer patients for at least seven years. …
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Hong Kong women face rising lung cancer rates despite lower smoking
Lung cancer rates among women in Hong Kong have increased by 20% over the last two decades, despite lower smoking rates compared to men. Experts suggest genetic predispositions and exposure to cooking fumes in poorly ve…
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Deep learning aids radiomic feature selection for lung cancer detection
Researchers have developed a new framework called Gradient-Loss Recursive Feature Elimination (GL-RFE) to improve the selection of radiomic features for lung cancer stage detection. This method uses a deep neural networ…
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AI system Traj-Evolve models patient trajectories for lung cancer detection
Researchers have developed Traj-Evolve, a novel multi-agent system designed to improve early lung cancer detection by modeling patient trajectories. This system utilizes an Experience Pool to retrieve similar past patie…
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Haiku model integrates spatial biology, histology, and clinical data
Researchers have developed Haiku, a novel tri-modal contrastive learning model designed to integrate molecular, morphological, and clinical data from biomedical research. Trained on a large dataset of spatial proteomics…