Optimized DNA affinity purification sequencing determines relative binding affinity of transcription factors [0.03%]
优化的DNA亲和纯化测序确定转录因子的相对结合能力
Katharina Schiller,Anja Meierhenrich,Sanja Zenker et al.
Katharina Schiller et al.
DAP-seq is an in vitro method to analyze the relative binding affinity of transcription factors to DNA. It is a fast and scalable method and its application to plant transcription factors with a binary bound/not bound readout was first publ...
Development and characterization of a pentylenetetrazol-induced convulsive seizure model in non-anaesthetized sheep [0.03%]
戊四唑诱导的清醒绵羊癫痫发作模型的建立及鉴定
Ruslan V Pustovit,Yugeesh R Lankadeva,Ming S Soh et al.
Ruslan V Pustovit et al.
The pathophysiology of seizures is complex and could contribute to a range of morbidities including sudden unexpected death of epilepsy (SUDEP). A better understanding of seizure-induced pathophysiology can lead to the development of target...
Validation of a personalized AI prompt generator (NExGEN-ChatGPT) for obesity management using fuzzy Delphi method [0.03%]
基于模糊德尔菲法的肥胖管理个性化AI提示生成器(NExGEN-ChatGPT)验证研究
Azwa Suraya Mohd Dan,Adam Linoby,Sazzli Shahlan Kasim et al.
Azwa Suraya Mohd Dan et al.
The potential of artificial intelligence (AI) to personalize dietary and exercise advice for obesity management is increasingly evident. However, the effectiveness and appropriateness of AI-generated recommendations hinge significantly on i...
Leveraging uncertainty quantification to optimize CRISPR guide RNA selection [0.03%]
利用不确定性量化优化CRISPR引导RNA选择
Carl Schmitz,Jacob Bradford,Robert Salomone et al.
Carl Schmitz et al.
CRISPR-based genome editing relies on guide RNA sequences to target specific regions of interest. A large number of methods have been developed to predict how efficient different guides are at inducing indels. As more experimental data beco...
Identifying escaped farmed salmon from fish scales using deep learning [0.03%]
基于深度学习的鲑鱼鳞片图像识别及其在溯河洄游中的应用研究
Malte Willmes,Anders Varmann Aamodt,Børge Solli Andreassen et al.
Malte Willmes et al.
Escaped farmed salmon are a major concern for wild Atlantic salmon (Salmo salar) stocks in Norway. Fish scale analysis is a well-established method for distinguishing farmed from wild fish, but the process is labor and time intensive. Deep ...
Optimization of the HS-GC/MS technique for urine metabolomic profiling [0.03%]
尿液代谢组学谱分析的HS-GC/MS技术优化
Natalya B Zakharzhevskaya,Dmitry A Kardonsky,Elizaveta A Vorobyeva et al.
Natalya B Zakharzhevskaya et al.
Background: Headspace gas chromatography-mass spectrometry (HS GC-MS) traditionally has been applied to analyze samples with a high content of volatile components, such as stool samples. Nevertheless, other types of sampl...
CATHe2: Enhanced CATH superfamily detection using ProstT5 and structural alphabets [0.03%]
增强的CATHe2：使用ProstT5和结构字母检测CATH超家族
Orfeú Mouret,Jad Abbass
Orfeú Mouret
The CATH database is a free publicly available online resource that provides annotations about the evolutionary and structural relationships of protein domains. Due to the flux of protein structures coming mainly from the recent breakthroug...
A novel machine learning approach for tumor detection based on telomeric signatures [0.03%]
一种基于端粒特征的新型机器学习肿瘤检测方法
Priyanshi Shah,Arun Sethuraman
Priyanshi Shah
Cancer remains one of the most complex diseases faced by humanity, with over 200 distinct types, each characterized by unique molecular profiles that demand specialized therapeutic approaches. [Tomczak et al. (Review The Cancer Genome Atlas...
Limited echocardiogram acquisition by novice clinicians aided with deep learning: A randomized controlled trial [0.03%]
新手临床医生在深度学习辅助下进行有限的心脏超声检查：一项随机对照试验
Andre Kumar,Evan Baum,Caitlin Parmer-Chow et al.
Andre Kumar et al.
The global shortage of sonographers has created significant barriers to timely ultrasound diagnostics across medical specialties. Deep learning (DL) algorithms have potential to enhance image acquisition by clinicians without formal sonogra...
Deep learning-based classification of colorectal cancer in histopathology images for category detection [0.03%]
基于深度学习的结直肠癌病理图像分类以检测癌症类型
Thang Truong Le,Vinh-Thuyen Nguyen-Truong,Quang Van Nhat Duong et al.
Thang Truong Le et al.
Accurate and timely diagnosis of colorectal cancer (CRC) is essential for effective treatment and better patient outcomes. This study explores the application of deep learning (DL) for automated CRC categories classification using hematoxyl...