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Perdón y reconciliación: cómo sanar heridas
The Art of Structural Engineering: Vaults
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Stanford physicians discuss recent changes in breast and cervical cancer screening guidelines, highlighting controversies, reviewing data, and providing expert insights on women's cancer screening recommendations.
Rabbi Lori Klein explores the Shehechianu prayer, teaching its spiritual lessons on living in the moment, gratitude, and maintaining quality of life as we age through meaningful practices and reflections.
Explore bone health's crucial role in cancer survivorship, including risk factors, prevention strategies, and practical tips for maintaining strong bones during and after cancer treatment.
Comprehensive overview of COPD management, covering diagnosis, symptoms, treatment options, and strategies for improving quality of life for those affected by this progressive lung disease.
Comprehensive overview of heart failure, covering causes, treatments, and lifestyle modifications. Dr. Banerjee provides insights on managing the condition and improving quality of life.
Explore sleep mechanisms, debunk myths, and learn practical tips for healthy sleep habits as we age with Dr. Rachel Manber from Stanford's Sleep Clinic.
Jessica Goldman shares her journey with kidney disease, offering practical tips for a low-sodium lifestyle. Learn to adapt recipes, navigate dining out, and discover flavorful alternatives for a healthier, salt-conscious approach to eating.
Comparative study on AI models for predicting opioid use disorder, showcasing superior performance of transformer-based AI over existing clinical tools and other machine learning approaches.
Explore innovative self-supervised denoising techniques for diffusion MRI using denoising diffusion models. Learn about a three-stage framework integrating statistic-based theory for improved medical imaging quality.
Explore algorithms for explaining deep network decisions, building user trust, incorporating domain knowledge, learning grounded representations, and correcting unwanted biases in AI models.
Explore fairness in deep metric learning, evaluating bias in representations and its impact on minority subgroups. Learn about a novel approach to mitigate bias and improve fairness in machine learning models.
Comprehensive comparison of state-of-art models for real-time seizure detection using EEG, evaluating performance metrics and exploring optimal feature extractors for practical clinical applications.
Explore techniques for building robust machine learning models that can handle distribution shifts, including subpopulation and domain shifts, and adapt to new test distributions with minimal labeled data.
Explore deep generative models for weakly supervised clustering, incorporating domain knowledge and survival data to guide algorithms towards medically meaningful findings in biomedical datasets.
Explore techniques for curating and analyzing annotated medical images across institutions, focusing on data sharing challenges, anomaly detection, and OOD-aware image retrieval for improved dataset quality and future analysis.
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