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README.md

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+---
+tags:
+- schemaforge
+- ai-refined
+- machine-learning-research
+license: mit
+---
+
+# www.nature.com
+
+Auto-refined by [SchemaForge](https://schemaforge.duckdns.org)
+
+## Metadata
+- **Topic:** Machine Learning Research
+- **Quality Score:** 0.95
+- **Source:** Autonomous web scraper
+
+## Extracted Facts
+- Machine learning is the ability of a machine to improve its performance based on previous results.
+- Machine learning methods enable computers to learn without being explicitly programmed.
+- Privacy risks from medical AI tools are not shared equally.
+- Learning from routine health system data builds better neuroimaging AI models.
+- A new method designs RNA sequences by learning from alignments of structurally similar molecules.
+- MRICombo: a deep-learning-based framework for universal volumetric segmentation grading-staging and malignancy detection across heterogeneous MRI.
+- AI-based augmentation of oncology clinical trials.
+- The Virtual Tissues foundation model resolves spatial proteomics across scales.
+- Divergent impacts of explainable AI for dermatological diagnosis on clinicians versus lay people.
+- Automatic report-based assessment of radiology-pathology concordance in surgical patients using BERT and DPCNN.
+- AI agents are checking the scientific literature — and spotting decades-old errors.
+- Privacy attacks can reveal whether someone’s medical data was used to train an AI model.