Results 61 to 70 of about 15,936,409 (281)

Study on differentiating benign and malignant thyroid nodules based on CT multi-phase artificial intelligence models

Frontiers in Endocrinology
BackgroundThe rising global incidence of thyroid nodules necessitates improved non-invasive methods for differentiating benign from malignant lesions. However, research on artificial intelligence (AI) models using multiphase CT imaging to differentiate ...
Daoxiong Xiao, Xianzhong Wu, Peng Xie, Binglin Lai, Jianping Zhong, Junyuan Zhong, Xianjun Zeng   +6 more
doaj   +1 more source

Unlocking Potential Score Insights of Sentimental Analysis with a Deep Learning Revolutionizes

Emerging Science Journal
Online hate has emerged as a rapidly growing issue worldwide, often stemming from differences in opinion. It is crucial to use appropriate language and words on social media platforms, as inappropriate communication can negatively impact others. Consequently, detecting hate speech is of significant importance. While manual methods are commonly employed
openaire   +2 more sources

Quasi Score is more efficient than Corrected Score in a general nonlinear measurement error model [PDF]

, 2005
We compare two consistent estimators of the parameter vector beta of a general exponential family measurement error model with respect to their relative efficiency.
Kukush, Alexander, A. Kukush, Shklyar, Sergiy, S. Shklyar, H. Schneeweiss, Schneeweiß, Hans   +5 more
core   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

Development of Problem-Based Blended Learning (PBBL) Assisted by Articulate Storyline to Optimize Critical Thinking Skills

Lectura: Jurnal Pendidikan
The development of technology in education becomes more advanced by utilizing learning models assisted by digital media. These innovations allow for more flexible and interactive teaching methods, increasing student engagement and understanding ...
Tuti Mutia, Fatiya Rosida, Neni Wahyuningtyas, Imam Rofiki   +3 more
doaj   +1 more source

From energy provision to protein synthesis: Tunnelling nanotubes as mediators of intercellular metabolic cooperation in cancer

FEBS Open Bio, EarlyView.
The cytoskeleton‐mediated transport of mitochondria via tunnelling nanotubes restores respiration, increases ATP production, rescues cells from apoptosis, activates the AKT/mTOR signalling pathway, promotes cell migration and invasiveness, contributes to cancer progression and treatment resistance.
Stanislava Martínková, Jan Trnka
wiley   +1 more source

Predicting Obesity Levels Based on Lifestyle and Activity Patterns

NTU Journal of Engineering and Technology
Obesity is a growing global health concern driven by genetic, behavioral, and environmental factors. Machine learning (ML) offers potential for predicting and classifying obesity, however data accessibility and model scalability present challenges.
Iman Nozad Mahmood Mahmood, Swash Sami Mohammed   +1 more
doaj   +1 more source

Score following: An artificially intelligent musical accompanist [PDF]

Score Following is the process by which a musician can be tracked through their performance of a piece, for the purpose of accompanying the musician with the appropriate notes.
Jordanous, Anna
core  

Accurate and noninvasive prostate cancer detection using plasma‐derived extracellular vesicle RNA

FEBS Open Bio, EarlyView.
Plasma extracellular vesicles were captured with WGA‐conjugated magnetic beads and profiled for RNA biomarkers. A three‐RNA panel (NM_024955, NR_047469, and NR_002564) distinguished prostate cancer from healthy controls and benign prostatic hyperplasia, supporting a simple, noninvasive approach to improve prostate cancer detection.
Hanping Wei, Haoran Wu, Wei Feng
wiley   +1 more source

Exosome‐related lncRNA score: A value‐based individual treatment strategy for predicting the response to immunotherapy in clear cell renal cell carcinoma

Cancer Medicine
Background Exosomes play a crucial role in intercellular communication in clear cell renal cell carcinoma (ccRCC), while the long non‐coding RNAs (lncRNAs) are implicated in tumorigenesis and progression. Aims The purpose of this study is to construction
Zhan Yang, Xiaoting Zhang, Ning Zhan, Lining Lin, Jingyu Zhang, Lianjie Peng, Tao Qiu, Yaxian Luo, Chundi Liu, Chaoran Pan, Junhao Hu, Yifan Ye, Zilong Jiang, Xinyu Liu, Mouyuan Sun, Yan Zhang   +15 more
doaj   +1 more source