This study introduces an in-memory deep Bayesian active learning framework that uses the stochastic properties of memristors for in situ probabilistic computations. This framework can greatly improve the efficiency and speed of artificial intelligence learning tasks, as demonstrated with a robot skill-lear...
A deep learning framework is proposed with real-world pharmacovigilance data to predict population-scale toxicity profiles of checkpoint inhibitor immunotherapy, enabling proactive toxicity monitoring and timely tailoring of treatment. Dongxue Yan Siqi Bao ...
在第二篇论文中,研究人员开发了一种能够解析RNA分子动态异质性的方法(HORNET),即利用AFM捕捉RNA单分子在溶液中不同构象的拓扑信息,结合无监督机器学习(Unsupervised Machine Learning, UML)与深度神经网络(Deep Neural Networks, DNN),基于伪结构...
同时,DeepNano 在 NAI 预测和纳米抗体虚拟筛选方面表现优异。 该研究以「Nanobody–antigen interaction prediction with ensemble deep learning and prompt-based protein language models」为题,于 2024 年 12 月 5 日发布在《Nature Ma...
原文链接:nature.com/articles/s41 关键词 Raman microscopy(拉曼显微镜) single-cell RNA expression(单细胞RNA表达) deep learning(深度学习) cell reprogramming(细胞重编程) differentiation(分化) 研究背景 监测基因表达随时间的变化对于研究生物学中的动态过程至关重要,包括细胞生长、环境响应、分化和重编程。 尽管在...
Noninvasive, microbiome-based diagnosis of inflammatory bowel disease Sustained effect of prasinezumab on Parkinson’s disease motor progression in the open-label extension of the PASADENA trial Computational brain models map diversity embedded in aging and dementia ...
E-Book Proceedings of the ESERA 2013 Conference: Science Education Research For Evidence-Based Teaching and Coherence in Learning. Part 9 (co-ed. Graca Garvalho and Marianne Mortensen Foss) Strand 9: Environmental, Health and Outdoor Science Education, European Science Education Research Association...
Previous research has indicated that the more the assessor trusts himself/herself, the deeper the learning from PA becomes (Cheng & Tsai, 2012), which has the potential to be increased through intensive practice and interaction (Panadero et al., 2016). (6) Trust in the other as an assessor...
This code repository is associated with the paper "A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography." Nature Machine Intelligence, 2021. https://www.nature.com/articles/s42256-021-00423-x - alinajad
This scoping review examined the impact of nature-based outdoor learning environments on the formation of STEAM (science, technology, engineering, arts, and mathematics) concepts in preschoolers. Preschool age (3–5 years) is the time when physical interaction with surrounding built...