Xiaoyi Chen,Haixu Tang
Xiaoyi Chen
In a recent issue of Cell Reports Physical Science, Zhao et al. introduced ChemDFM, a foundational large language model designed specifically for chemistry. The model bridges the gap between general-purpose language models and specialized c...
SECONDGRAM: Self-conditioned diffusion with gradient manipulation for longitudinal MRI imputation [0.03%]
基于梯度操控的自回归扩散模型在纵向磁共振图像插值中的应用
Brandon Theodorou,Anant Dadu,Mike Nalls et al.
Brandon Theodorou et al.
While individual MRI snapshots provide valuable insights, the longitudinal progression in repeated MRIs often holds more significant diagnostic and prognostic value. However, a scarcity of longitudinal datasets, comprising paired initial an...
Aligning large language models and geometric deep models for protein representation [0.03%]
基于大型语言模型和几何深度模型的蛋白质表示方法
Dong Shu,Bingbing Duan,Kai Guo et al.
Dong Shu et al.
In this study, we explore the alignment of multimodal representations between large language models (LLMs) and geometric deep models (GDMs) in the protein domain. We comprehensively evaluate three LLMs with four protein-specialized GDMs. Ou...
Erratum: Strategies to include prior knowledge in omics analysis with deep neural networks [0.03%]
有关于使用深度神经网络进行组学分析的先前知识的纳入策略的勘误说明
Kisan Thapa,Meric Kinali,Shichao Pei et al.
Kisan Thapa et al.
[This corrects the article DOI: 10.1016/j.patter.2025.101203.]. © 2025 The Author(s).
Published Erratum
Patterns (New York, N.Y.). 2025 Apr 4;6(5):101235. DOI:10.1016/j.patter.2025.101235 2025
Fine-Pruning: A biologically inspired algorithm for personalization of machine learning models [0.03%]
精细修剪算法：一种生物启发的个性化机器学习模型算法
Joseph Bingham,Saman Zonouz,Dvir Aran
Joseph Bingham
Neural networks have long strived to emulate the learning capabilities of the human brain. While deep neural networks (DNNs) draw inspiration from the brain in neuron design, their training methods diverge from biological foundations. Backp...
Md Sayed Tanveer,Dhruvik Patel,Hunter E Schweiger et al.
Md Sayed Tanveer et al.
Recent advances in artificial intelligence (AI) have led to the development and deployment of gigantic models trained on billions of samples. While training these models consumes enormous energy, the human brain produces similar outputs wit...
Evaluation of unsupervised learning algorithms for the classification of behavior from pose estimation data [0.03%]
基于姿态估计数据的行为分类的无监督学习算法评估
Jakub Mlost,Rame Dawli,Xuan Liu et al.
Jakub Mlost et al.
Analyzing animal behavior is crucial for decoding brain function, modeling neurological disorders, and assessing therapeutics. Recent advances in pose-estimation tools like DeepLabCut and SLEAP have revolutionized behavioral analysis by ena...
Closing the multichannel gap through computational reconstruction of interaction in super-resolution microscopy [0.03%]
利用超分辨率显微镜计算重建相互作用以缩小多通道间隙
Ben Cardoen,Hanene Ben Yedder,Ivan Robert Nabi et al.
Ben Cardoen et al.
Cellular function is defined by pathways that, in turn, are determined by distance-mediated interactions between and within subcellular organelles, protein complexes, and macromolecular structures. Multichannel super-resolution microscopy (...
FoodSky: A food-oriented large language model that can pass the chef and dietetic examinations [0.03%]
FoodSky：一种可以通过厨师和营养师考试的食物导向型大型语言模型
Pengfei Zhou,Weiqing Min,Chaoran Fu et al.
Pengfei Zhou et al.
Food is the cornerstone of both survival and social life. With the increasing complexity of global dietary cultures, there is a growing demand for food intelligence to enable tasks like recipe recommendations and diet-disease correlation di...
David Moats,Chandrima Ganguly
David Moats
In 2023, OpenAI's Democratic Inputs program funded 10 teams to design procedures for public participation in generative AI. In this perspective, we review the results of the project, drawing on interviews with some of the teams and our own ...