A generalized AI system for human embryo selection covering the entire IVF cycle via multi-modal contrastive learning [0.03%]
一种通用的人工智能系统通过多模态对比学习覆盖整个体外受精周期的人类胚胎选择方法
Guangyu Wang,Kai Wang,Yuanxu Gao et al.
Guangyu Wang et al.
In vitro fertilization (IVF) has revolutionized infertility treatment, benefiting millions of couples worldwide. However, current clinical practices for embryo selection rely heavily on visual inspection of morphology, which is highly varia...
MetaGate: Interactive analysis of high-dimensional cytometry data with metadata integration [0.03%]
MetaGate：集成元数据的高维细胞计量数据分析
Eivind Heggernes Ask,Astrid Tschan-Plessl,Hanna Julie Hoel et al.
Eivind Heggernes Ask et al.
Flow cytometry is a powerful technology for high-throughput protein quantification at the single-cell level. Technical advances have substantially increased data complexity, but novel bioinformatical tools often show limitations in statisti...
Cortical similarities in psychiatric and mood disorders identified in federated VBM analysis via COINSTAC [0.03%]
通过COINSTAC进行联邦VBM分析，在精神病和情绪障碍中识别皮质相似性
Kelly Rootes-Murdy,Sandeep Panta,Ross Kelly et al.
Kelly Rootes-Murdy et al.
Structural neuroimaging studies have identified a combination of shared and disorder-specific patterns of gray matter (GM) deficits across psychiatric disorders. Pooling large data allows for examination of a possible common neuroanatomical...
A proposal in Brazil to use generative AI in education threatens quality and equity [0.03%]
巴西提议在教育中使用生成式人工智能威胁了教育质量和公平性
Fernanda D A O Matos,Gildo Girotto Junior,Ana de Medeiros Arnt et al.
Fernanda D A O Matos et al.
Artificial intelligence (AI) is considered one of the most revolutionary technological developments today. But can it replace teachers in education? A new proposal in São Paulo, Brazil, suggests this might be possible, but it raises signif...
The potential of self- supervised learning in embryo selection for IVF success [0.03%]
自监督学习在IVF胚胎选择中的潜力
Guanqiao Shan,Yu Sun
Guanqiao Shan
How to select the "best" embryo for transfer is a long-standing question in clinical in vitro fertilization (IVF). Wang et al. proposed a multi-modal self-supervised learning framework for human embryo selection with a high accuracy and gen...
Sarthak Pati,Sourav Kumar,Amokh Varma et al.
Sarthak Pati et al.
Artificial intelligence (AI) shows potential to improve health care by leveraging data to build models that can inform clinical workflows. However, access to large quantities of diverse data is needed to develop robust generalizable models....
Embroidering the city map [0.03%]
城市地图的刺绣
Hannah Sawall,Seraphim Alvanides
Hannah Sawall
Street names are omnipresent but hold an often-overlooked symbolic function of representing societal power balances, rendering women largely invisible. With this embroidered T-shirt, we aim to bring attention to this gendered imbalance and ...
Large pre-trained models for treatment effect estimation: Are we there yet? [0.03%]
大型预训练模型在处理效应估计中的应用：我们已经准备好了吗？
Sheng Li
Sheng Li
Deep learning for causal inference is a promising technique that leverages deep neural networks to infer counterfactuals and estimate treatment effects. Liu et al. proposed CURE (causal treatment effect estimation), a new pre-training and f...
Reducing overconfident errors in molecular property classification using Posterior Network [0.03%]
使用后验网络减少分子属性分类中的过度自信错误
Zhehuan Fan,Jie Yu,Xiang Zhang et al.
Zhehuan Fan et al.
Deep-learning-based classification models are increasingly used for predicting molecular properties in drug development. However, traditional classification models using the Softmax function often give overconfident mispredictions for out-o...
Abdelrahman Sharafeldin,Nabil Imam,Hannah Choi
Abdelrahman Sharafeldin
We present an end-to-end architecture for embodied exploration inspired by two biological computations: predictive coding and uncertainty minimization. The architecture can be applied to any exploration setting in a task-independent and int...