cardiovascular disease
PulseAugur coverage of cardiovascular disease — every cluster mentioning cardiovascular disease across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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Ultrasound tech opens blood-brain barrier for CNS drug delivery
Openwater, a company focused on ultrasound technology, is advancing its use in drug delivery for neurological conditions like Alzheimer's and Parkinson's. Their method utilizes low-intensity focused ultrasound with micr…
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Celebrities urged to use influence for public health advocacy
Public figures, including athletes and actors, have a responsibility to use their influence for public good, particularly in health advocacy. While celebrity does not equate to expertise, their ability to connect with m…
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AI and non-AI methods for cardiac fat segmentation reviewed
A literature review published on arXiv details advancements in automated segmentation methods for cardiac adipose tissue using Computed Tomography (CT). The review covers both AI and non-AI approaches for segmenting Epi…
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AI-first models offer new path for rural healthcare beyond hospitals
Rural healthcare in the United States faces a critical challenge due to its hospital-centric architecture, which is ill-suited for the needs of rural communities. A significant number of rural hospitals are at risk of c…
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New CardioMeta framework improves multi-disease prediction with calibrated probabilities
Researchers have developed CardioMeta, a new multi-task framework designed for the joint prediction of diabetes, hypertension, and cardiovascular disease. This framework aims to improve upon existing machine learning mo…
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New GRC-ProbNet method boosts cardiovascular disease classification accuracy
Researchers have developed GRC-ProbNet, an uncertainty-aware feature extraction method designed to improve cardiovascular disease (CVD) classification from CT images. This new approach builds upon the existing GRC-Net p…
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Carna Health CTO details acceptance test-driven development for clinical software
Carna Health's CTO, Boris Berat, outlines a deliberate engineering approach for building clinical software in the rapidly evolving healthcare landscape. The core challenge is ensuring behavioral consistency amidst const…
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AI advances heart sound classification for cardiovascular disease detection
Researchers have developed a novel approach to classify cardiovascular diseases using multimodal and multichannel heart sound data. By combining traditional signal processing with denoising diffusion models like WaveGra…
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New study maps human adipocyte development using single-cell RNA sequencing
Researchers have utilized single-cell RNA sequencing to map the developmental path of adipocytes in human adipose tissue. The study identified 15 distinct cell clusters and 7 transitional states, revealing dynamic diffe…
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AI tool predicts heart disease from EKGs
An AI tool has been developed that can analyze electrocardiograms (EKGs) to predict the likelihood of developing structural heart disease. This technology aims to provide early warnings for cardiovascular issues by inte…
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AI's data bottleneck, healthcare applications, and agentic automation advance · 4 sources tracked
A report indicates that generative AI projects may exceed their budgets by 2028, suggesting that data, rather than model performance, is the primary bottleneck for Finance AI applications. Separately, AI is being develo…
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New Framework Aligns CT and EHR Data for Improved Time-to-Event Prediction
Researchers have developed a new framework for cross-modal representation alignment to improve time-to-event (TTE) prediction using both CT imaging and longitudinal electronic health records (EHR). This foundation model…
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New Radar Model Improves Cardiac Sensing Accuracy
Researchers have developed a novel pre-training model called TriDP-PTM for radar-based cardiac sensing. This model addresses the trade-off between distortion and perception in non-contact monitoring by employing a three…
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AI model predicts cardiovascular disease progression using ECG data
Researchers have developed a novel artificial intelligence model designed to predict the progression of cardiovascular disease following a myocardial infarction. This model leverages self-supervised learning on unlabele…
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Federated Learning advances balance privacy, utility, and fairness
Researchers are exploring advanced techniques to enhance privacy in Federated Learning (FL), a method where models train on decentralized data. One study compares Differential Privacy (DP) and Homomorphic Encryption (HE…