Proceedings of the National Academy of Sciences of the United States of America
May 26, 2026
The advancement of science depends on rigorous tests of competing hypotheses, yet many disputes are left unresolved. Adversarial collaboration-where opposing scientists jointly design decisive tests-is one proposed solution. We examine whether large ... read more
Proceedings of the National Academy of Sciences of the United States of America
May 26, 2026
Accurately predicting the fitness effects of high-order mutations is a grand challenge in understanding and engineering proteins. Existing models, including pretrained protein language models, struggle to capture the multiresidue interactions that go... read more
Proceedings of the National Academy of Sciences of the United States of America
May 26, 2026
mRNA-based gene editing therapeutics offer the potential to permanently cure diseases but are hindered by suboptimal delivery platforms. Here, we devise a robust combinatorial chemistry for the plug-and-play assembly of structurally diverse biodegrad... read more
Emerging contaminants pose substantial threats to ecosystems and public health. While advances in analytical techniques and chemicals assessment have revealed the impacts of contaminants such as per- and polyfluoroalkyl substances, pharmaceutical res... read more
Annual review of biomedical data science
May 26, 2026
The messenger RNA (mRNA) sequence plays a central role in expressing functional proteins from genes. Species-specific nonuniform codon choices influence key processes, including mRNA stability, translation accuracy and efficiency, and cotranslational... read more
OBJECTIVES: This study aimed to evaluate the performance of three pre-trained deep learning models (ResNet50, MobileNetV2, and EfficientNetB0) in the detection of metal artefacts (MAs) in axial cone-beam computed tomography (CBCT) slices. METHODS: Tw... read more
The Journal of the American Academy of Orthopaedic Surgeons
May 26, 2026
INTRODUCTION: Online patient educational materials (PEMs) have poor readability, limiting their intended purposes in improving patient comprehension of health topics. Orthopaedic oncology PEMs are particularly complex. Although ChatGPT has demonstrat... read more
BACKGROUND: Large language models (LLMs) have emerged as promising tools in medical education due to their ability to understand, generate, and reason with natural language. Their ability to simulate expert reasoning suggests a potential for supporti... read more
BACKGROUND: The application of generative artificial intelligence to simplify medication use instructions has the potential to enhance people's health by improving treatment adherence. OBJECTIVE: We evaluated the performance of large language models ... read more
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