Pan-microalgal dark proteome mapping via interpretable deep learning and synthetic chimeras [0.03%]
基于可解释的深度学习和合成嵌合体的泛藻类光合作用暗蛋白质组测绘
David R Nelson,Ashish Kumar Jaiswal,Noha Samir Ismail et al.
David R Nelson et al.
Microalgal genomes contain a vast "dark proteome"-sequences lacking detectable homology that evade conventional classification tools. We developed LA4SR (language modeling with AI for algal amino acid sequence representation), a framework u...
Maxence Plouviez,Eric Dubreucq
Maxence Plouviez
Nelson et al. developed LA⁴SR, a large-scale language-model framework to classify translated open reading frames (ORFeomes) across ten algal phyla. LA⁴SR achieves near-complete protein classification coverage even for algal dark proteomes...
Uncovering drivers of climate research in policy with pretrained language models [0.03%]
使用预训练语言模型挖掘气候研究政策的动力因素
Basil Mahfouz,Licia Capra,Geoff Mulgan
Basil Mahfouz
Evidence-based policymaking is crucial for addressing societal challenges, yet factors driving research uptake in policy remain unclear. Previous studies have not accounted for the confounding effect of policy relevance, potentially skewing...
Current progress and open challenges for applying artificial intelligence across the in vitro fertilization cycle [0.03%]
人工智能在体外受精全流程应用的现状与挑战
Yuanxu Gao,Yifeng Yuan,Kai Wang et al.
Yuanxu Gao et al.
In vitro fertilization (IVF) has significantly advanced the treatment of infertility, yet success rates remain modest due to its complexity and reliance on clinical experience. Recent advances in artificial intelligence (AI) offer promising...
Cait Lamberton,Lorenn Ruster,Sakshi Ghai et al.
Cait Lamberton et al.
Rueda et al. argue that the concept of dignity is problematic for AI ethics due to its complexity, ambiguity, and biased usage. While agreeing on many points, we propose that adding the necessary precision to the use of the term is neither ...
Nicholas Kluge Corrêa,Aniket Sen,Sophia Falk et al.
Nicholas Kluge Corrêa et al.
Natural language processing has seen substantial progress in recent years. However, current deep-learning-based language models demand extensive data and computational resources. This data-intensive paradigm has led to a divide between high...
UltraLight VM-UNet: Parallel Vision Mamba significantly reduces parameters for skin lesion segmentation [0.03%]
UltraLight VM-UNet：Parallel Vision 蟒蛇 显著减少皮肤病变分割的参数
Renkai Wu,Yinghao Liu,Guochen Ning et al.
Renkai Wu et al.
Traditionally, to improve the segmentation performance of models, most approaches prefer to use more complex modules. This is not suitable for the medical field, especially for mobile medical devices, where computationally loaded models are...
Combined statistical-biophysical modeling links ion channel genes to physiology of cortical neuron types [0.03%]
联合统计和生物物理模型连接皮层神经元类型的离子通道基因与生理学
Yves Bernaerts,Michael Deistler,Pedro J Gonçalves et al.
Yves Bernaerts et al.
Neurons have classically been characterized by their anatomy, electrophysiology, and molecular markers. More recently, single-cell transcriptomics has enabled an increasingly fine genetically defined taxonomy of cortical cell types, but the...
S2S: A deep learning method for the radiological diagnosis of fine-grained diseases spanning screening to subtyping [0.03%]
基于深度学习的放射影像诊断方法(S2S): 从筛查到分类诊断细粒度疾病
Ruijie Tang,Yuchen Guo,Hengrui Liang et al.
Ruijie Tang et al.
Radiographic images play a critical role in disease diagnosis, but accurately interpreting them requires considerable expertise and workload. Recent research has advanced artificial intelligence-based medical image analysis, but such advanc...
Fidelity-agnostic synthetic data generation improves utility while retaining privacy [0.03%]
agnostic合成数据生成提高 utililty同时保留隐私
Jim Achterberg,Marcel Haas,Bram van Dijk et al.
Jim Achterberg et al.
Synthetic data are a popular method to publish useful datasets in a privacy-aware manner, making them useful across a range of scientific domains involving human subjects. They are typically generated by sampling from algorithms that mimic ...