We developed a deep residual network (ResNet) framework to classify thyroid cancer differentiation states by integrating multiomic data and interpretability analysis. Our framework incorporated untargeted metabolomic, whole-exome sequencing, and transcriptomic data from 158 thyroid…
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Deep learning has proven to be an excellent tool for interpreting medical images in adults and children. However, it is still underdeveloped for neonates. This study developed NeoCLIP, a novel deep contrastive learning model…
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The emergence of portable imaging devices improves medical image acquisition efficiency in resource-limited regions, but a shortage of medical personnel still limits timely diagnosis. We propose Embed-MedSAM, a fully automatic segmentation model with low…
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Hospital readmission is a key quality metric, yet post-discharge interventions often yield variable results. In the first large-scale randomized evaluation of causal machine learning in a health system, we assessed whether a novel model…
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Overeating contributes to obesity and poses a significant public health threat. The SenseWhy study (2018–2022) monitored 65 individuals with obesity in free-living settings, collecting 2302 meal-level observations (48 per participant), using an activity-oriented wearable…
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This paper aims to build a model that can Segment Anything in 3D medical images, driven by medical terminologies as Text prompts, termed as SAT. Our main contributions are three-fold: (i) We construct the…
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Breast cancer is a leading cause of cancer-related mortality, with tumor heterogeneity and drug resistance posing significant challenges to treatment. We integrated single-cell RNA sequencing, spatial transcriptomics, and bulk RNA-seq deconvolution to analyze BRCA…
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Dynamic response to therapy is strongly associated with cancer outcomes. We aim to develop the response-adapted individualized risk index (RAIRI) as an individual prognostic approach and predictive biomarker for adjuvant chemotherapy (AC) benefit in…
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This study constructs a tripartite evolutionary game model involving healthcare data management authorities (DMAs), healthcare data operating departments (DODs), and data-related entities (DEs) within a triple principal-agent framework. We analyze dynamic interactions among these…
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Systemic sclerosis (SSc) is a chronic autoimmune disease with multi-organ involvement. Historically, SSc classification has focused on the type of skin involvement (limited versus diffuse); however, a growing evidence of organ-specific variability suggests the…
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