Plagiarism in the Age of Generative Artificial Intelligence: The advent of generative artificial intelligence (GenAI) tools is challenging the scientific community's understanding of the meaning and significance of plagiarism. A new definition of research misconduct is needed that specifically addresses the use of GenAI writing tools [0.03%]
生成式人工智能时代的抄袭问题：重新定义研究不当行为
David Resnik,Mohammad Hosseini
David Resnik
Platonic representation of foundation machine learning interatomic potentials [0.03%]
基于基础机器学习相互作用势的普适表示法研究
Zhenzhu Li,Aron Walsh
Zhenzhu Li
Foundation machine learning interatomic potentials (MLIPs) have emerged as powerful tools for atomistic simulation, yet different models encode chemical environments in incompatible latent spaces, limiting direct comparison and interoperabi...
Immunotherapy drug target identification using machine learning and patient-derived tumour explant validation [0.03%]
利用机器学习和患者来源的肿瘤外植体验证识别免疫疗法药物靶点
Marcellus Augustine,Nuno Rocha Nene,Hongchang Fu et al.
Marcellus Augustine et al.
Immunotherapy has revolutionized cancer treatment, yet only a minority of individuals respond clinically, necessitating alternative strategies that can benefit these patients. Novel immuno-oncology targets may achieve this through bypassing...
A generative artificial intelligence approach for peptide antibiotic optimization [0.03%]
一种用于肽类抗生素优化的生成式人工智能方法
Marcelo D T Torres,Yimeng Zeng,Fangping Wan et al.
Marcelo D T Torres et al.
Antibiotic resistance is rising globally, demanding faster, more reliable routes to design antimicrobial candidates. Although artificial-intelligence-based methods have accelerated antimicrobial discovery, most are designed to screen fixed ...
Vittoria Dentella,Marco Marelli,Luca Rinaldi
Vittoria Dentella
Derek van Tilborg,Luke Rossen,Francesca Grisoni
Derek van Tilborg
Molecular machine learning models often fail to generalize beyond the chemical space of their training data, limiting their ability to reliably perform predictions on structurally novel bioactive molecules. Here, to advance the ability of m...
InstaNovo enables diffusion-powered de novo peptide sequencing in large-scale proteomics experiments [0.03%]
基于扩散的从头蛋白质谱学实现InstaNovo大型实验中的肽序列鉴定
Kevin Eloff,Konstantinos Kalogeropoulos,Amandla Mabona et al.
Kevin Eloff et al.
Mass spectrometry-based proteomics focuses on identifying the peptide that generates a tandem mass spectrum. Traditional methods rely on protein databases but are often limited or inapplicable in certain contexts. De novo peptide sequencing...
A neural speech decoding framework leveraging deep learning and speech synthesis [0.03%]
一种利用深度学习和语音合成的神经语音解码框架
Xupeng Chen,Ran Wang,Amirhossein Khalilian-Gourtani et al.
Xupeng Chen et al.
Decoding human speech from neural signals is essential for brain-computer interface (BCI) technologies that aim to restore speech in populations with neurological deficits. However, it remains a highly challenging task, compounded by the sc...
Cardiac health assessment across scenarios and devices using a multimodal foundation model pretrained on data from 1.7 million individuals [0.03%]
基于170万个体数据的多模态基础模型在不同场景和设备上的心脏健康评估中的应用
Xiao Gu,Wei Tang,Jinpei Han et al.
Xiao Gu et al.
Cardiovascular diseases remain a major contributor to the global burden of healthcare, highlighting the importance of accurate and scalable methods for cardiac monitoring. Cardiac biosignals, most notably electrocardiograms (ECG) and photop...
Reusability Report: Evaluating the performance of a meta-learning foundation model on predicting the antibacterial activity of natural products [0.03%]
复用性报告：评估元学习基础模型在预测天然产物抗菌活性方面的表现
Caitlin M Butt,Allison S Walker
Caitlin M Butt
Deep learning foundation models are becoming increasingly popular for use in bioactivity prediction. Recently, Feng et al. developed ActFound, a bioactive foundation model that jointly uses pairwise learning and meta-learning. By utilizing ...