non-small-cell lung carcinoma
PulseAugur coverage of non-small-cell lung carcinoma — every cluster mentioning non-small-cell lung carcinoma across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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New audit method improves predictive model deployment in healthcare
Researchers have developed a new method called "Conformal Triage" to improve the deployment of predictive models, particularly in healthcare settings where prevalence of a condition may change. This audit system address…
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New AI model predicts NSCLC survival using CT scans and proxy features
Researchers have developed a novel method for predicting survival rates in non-small-cell lung cancer (NSCLC) patients using multimodal data. This approach integrates pretreatment computed tomography (CT) scans, radiomi…
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New Bayesian Framework Extracts Lesion Dynamics from CT Scans
Researchers have developed a novel inverse Bayesian framework to extract lesion dynamics from longitudinal spectral CT scans. This method decomposes the evolution of spectral features into intrinsic dynamics, local envi…
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New method predicts molecular data from H&E slides, bypassing RNA sequencing
Researchers have developed a novel method for predicting molecular information from histopathology images, specifically H&E-stained slides, without the need for costly RNA sequencing. By training a lightweight alignment…
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New deep learning model improves tumor scoring for lung cancer
Researchers have developed a novel distribution-based deep multiple instance learning (MIL) framework to improve the accuracy of tumor proportion scoring (TPS) in non-small-cell lung cancer (NSCLC). This approach addres…
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New audit method assesses release-side risk in predictive models
Researchers have developed a new deployment audit method to assess the risks associated with releasing predictive models, particularly when the prevalence of the target event shifts. This leakage-aware audit specificall…
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Vision-language models align with anatomy for lung cancer segmentation
Researchers have investigated how prompt alignment influences zero-shot segmentation in vision-language models (VLMs) for non-small-cell lung cancer (NSCLC) tumor identification. Their study on the VoxTell model reveale…
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AI generates synthetic PET scans to improve lung cancer histology classification
Researchers have developed a novel framework using a 3D Pix2Pix Generative Adversarial Network (GAN) to create synthetic PET scans from CT data for non-small cell lung cancer (NSCLC) histology classification. This "virt…
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Handling Missing Modalities in Multimodal Survival Prediction for Non-Small Cell Lung Cancer
Researchers have developed a novel multimodal deep learning framework designed to improve survival prediction for Non-Small Cell Lung Cancer (NSCLC). This framework effectively handles missing data across clinical, radi…