Linking ion channel gene expression to neuronal firing patterns through a statistical-biophysical model [0.03%]
通过统计-生物物理模型将离子通道基因表达与神经元放电模式相联系
Wanjing Huang,Qiang Xu,Sheng Liu
Wanjing Huang
Patch-seq enables the integration of electrophysiological recordings, single-cell RNA sequencing (scRNA-seq), and morphological reconstruction within the same neuron, but establishing mechanistic links between transcriptomic and physiologic...
Hierarchical affinity landscape navigation through learning a shared pocket-ligand space [0.03%]
通过学习共享的配体结合袋空间进行层次化亲和景观导航
Bin Feng,Zijing Liu,Hao Li et al.
Bin Feng et al.
The structure of the protein binding pocket governs the ligand binding affinity by providing crucial intermolecular interactions and spatial compatibility. While existing methods have leveraged these structural insights to advance affinity ...
Lisa Pilgram,Fida Kamal Dankar,Jörg Drechsler et al.
Lisa Pilgram et al.
Synthetic data generation is a promising approach for sharing data for secondary purposes in sensitive sectors. However, to meet ethical standards and legislative requirements, it is necessary to demonstrate that the privacy of the individu...
DiffuSETS: 12-Lead ECG generation conditioned on clinical text reports and patient-specific information [0.03%]
DiffuSETS：基于临床文本报告和患者特定信息的12导联心电图生成
Yongfan Lai,Jiabo Chen,Qinghao Zhao et al.
Yongfan Lai et al.
The scarcity of high-quality electrocardiogram (ECG) data, driven by privacy concerns and limited medical resources, creates a pressing need for effective ECG signal generation. Existing approaches for generating ECG signals typically rely ...
Yizhen Zheng,Huan Yee Koh,Jiaxin Ju et al.
Yizhen Zheng et al.
The integration of large language models (LLMs) into the drug discovery and development field marks a significant paradigm shift, offering novel methodologies for understanding disease mechanisms, facilitating de novo drug discovery, and op...
Automating quantum computing laboratory experiments with an agent-based AI framework [0.03%]
基于智能体的人工智能框架在量子计算实验教学中的应用研究
Shuxiang Cao,Zijian Zhang,Mohammed Alghadeer et al.
Shuxiang Cao et al.
Fully automated self-driving laboratories promise high-throughput, large-scale scientific discovery by reducing repetitive labor. However, they require deep integration of laboratory knowledge, which is often unstructured, multimodal, and h...
Preeti Patel,Ganesh Mani
Preeti Patel
Generative AI technologies are creating both new challenges and opportunities for educators around the world. In this People of Data piece, we asked two of the journal's advisory board members to share how they are using generative AI techn...
Toward large reasoning models: A survey of reinforced reasoning with large language models [0.03%]
基于大语言模型的增强型推理方法综述
Fengli Xu,Qianyue Hao,Chenyang Shao et al.
Fengli Xu et al.
Language has long been an essential tool for human reasoning. The rise of large language models (LLMs) has led to research on their application in complex reasoning tasks. Researchers are exploring the concept of "thought," which represents...
The cost of unmodeled biological complexity in artificial neural networks [0.03%]
人工神经网络中未建模的生物复杂性的代价
Antonio Bikić,Corinna Kaspar,Wolfram H P Pernice
Antonio Bikić
We propose the theories of pragmatism and functionalism to differentiate between artificial neural networks (ANNs) and biological neural networks (BNNs). While ANNs emulate some cell structures and function approximation mechanisms, questio...
Are individuals who are positive about artificial intelligence also more unsure? [0.03%]
对人工智能持乐观态度的人是否也更不确定？
Moinak Bhaduri
Moinak Bhaduri
As artificial intelligence matures, the impact it might have on how society functions is being actively pondered. In this opinion, through uniform-binomial mixtures, the author sheds quantitative light on the matter, showing topics that uni...