Results 271 to 280 of about 2,065,553 (347)

Facilitating crRNA Design by Integrating DNA Interaction Features of CRISPR‐Cas12a System

Advanced Science, EarlyView.
This study introduces a novel approach combining molecular dynamics simulations and neural network modeling to predict the Cas12a trans‐cleavage activity. By integrating sequence and molecular interaction features, prediction accuracy is enhanced, and identify key features affecting Cas12a trans‐cleavage activity.
Zhihao Yao, Wanglu Li, Kaiyu He, Hongmei Wang, Yan Xu, Qun Wu, Liu Wang, Yao Nie   +7 more
wiley   +1 more source

A meta-analysis of the diagnostic test accuracy of artificial intelligence predicting emergency department dispositions. [PDF]

BMC Med Inform Decis Mak
Kuo KM, Chang CS.
europepmc   +1 more source

Proteomics‐Empowered Microfluidic‐SERS Immunoassay for Identifying and Detecting Biomarkers of Micropapillary Lung Adenocarcinoma

Advanced Science, EarlyView.
The presence of a micropapillary (MPP) component is critical for lung adenocarcinoma (LUAD) surgery, yet reliable blood biomarkers remain lacking. This study integrates proteomics for biomarker identification, a nanomixing‐enhanced surface‐enhanced Raman spectroscopy (SERS) platform for sensitive detection, and machine learning for accurate ...
Dechun Zhang, Kaiming Peng, Hui Xu, Yanping Chen, Jing Wang   +4 more
wiley   +1 more source

Enhancing Sealing Performance Predictions: A Comprehensive Study of XGBoost and Polynomial Regression Models with Advanced Optimization Techniques. [PDF]

Materials (Basel)
Zhou W, Xie Z.
europepmc   +1 more source

Machine learning for early prediction of the infection in patients with urinary stone after treatment of holmium laser lithotripsy. [PDF]

PLoS One
Xia W, Zhang M, Zheng X, Wu Z, Xuan Z, Huang P, Yang X.   +6 more
europepmc   +1 more source

Moral Machine Learning: Teaching a Course at the Intersection of Applied Statistics and Moral Philosophy

Andrew Ackerman
openalex   +1 more source

Machine learning identifies genes linked to neurological disorders induced by equine encephalitis viruses, traumatic brain injuries, and organophosphorus nerve agents. [PDF]

Front Comput Neurosci
Yin L, VanderGiessen M, Kumar V, Conacher B, Chao PH, Theus M, Johnson E, Kehn-Hall K, Wu X, Xie H.   +9 more
europepmc   +1 more source

When the whole is greater than the sum of its parts: why machine learning and conventional statistics are complementary for predicting future health outcomes

Roemer J. Janse, Ameen Abu Hanna, Iacopo Vagliano, Vianda S Stel, Kitty J. Jager, Giovanni Tripepi, Carmine Zoccali, Friedo W. Dekker, Merel van Diepen   +8 more
openalex   +1 more source

A hybrid machine learning model with attention mechanism and multidimensional multivariate feature coding for essential gene prediction. [PDF]

BMC Biol
Yan W, Yu F, Tan L, Mengshan L, Xiaojun X, Weihong Z, Sheng S, Jun W, Fu-An W.   +8 more
europepmc   +1 more source

PREDICTING CUSTOMER LOYALTY: A COMPARATIVE ANALYSIS USING AUTOMATED MACHINE LEARNING AND TRADITIONAL STATISTICS METHODS

ISRAT JAHAN SHITHII, Md. ABDUL HANNAN MIA   +1 more
openalex   +1 more source