Search
Search Results
-
Predicting treatment response in multicenter non-small cell lung cancer patients based on federated learning
BackgroundMulticenter non-small cell lung cancer (NSCLC) patient data is information-rich. However, its direct integration becomes exceptionally...
-
Bayesian prediction of psychophysical detection responses from spike activity in the rat sensorimotor cortex
Decoding of sensorimotor information is essential for brain-computer interfaces (BCIs) as well as in normal functioning organisms. In this study,...
-
Molecular response assessment using circulating tumor DNA (ctDNA) in advanced solid tumors
The therapeutic landscape for patients with advanced malignancies has changed dramatically over the last twenty years. The growing number of targeted...
-
Weighted kernels improve multi-environment genomic prediction
Crucial to variety improvement programs is the reliable and accurate prediction of genotype’s performance across environments. However, due to the...
-
Prediction of Knee Joint Compartmental Loading Maxima Utilizing Simple Subject Characteristics and Neural Networks
Joint loading may affect the development of osteoarthritis, but patient-specific load estimation requires cumbersome motion laboratory equipment....
-
Event-Related Potentials Index Prediction Error Signalling During Perceptual Processing of Emotional Facial Expressions
Humans use socially relevant stimuli to guide perceptual processing of the surrounding environment, with emotional stimuli receiving preferential...
-
Anti-inflammatory response of cardamom extract and prediction of therapeutic window in COVID-19 patients by assessing inflammatory markers using RT-PCR
IntroductionMolecular diagnostics using RT-PCR has now emerged as the new diagnostic method for clinicians with the dawn of SARS-CoV-2. In India, the...
-
Accurate prediction of HCC risk after SVR in patients with hepatitis C cirrhosis based on longitudinal data
BackgroundMost existing predictive models of hepatocellular carcinoma (HCC) risk after sustained virologic response (SVR) are built on data collected...
-
Cerebellar Prediction and Feeding Behaviour
Given the importance of the cerebellum in controlling movements, it might be expected that its main role in eating would be the control of motor...
-
Parameterisation and Prediction of Intra-canal Cochlear Structures
Accurate 3D models of the cochlea are useful tools for research in the relationship between the electrode array and nerve fibres. The internal...
-
Cerebellar Direct Current Stimulation Reveals the Causal Role of the Cerebellum in Temporal Prediction
Temporal prediction (TP) influences our perception and cognition. The cerebellum could mediate this multi-level ability in a context-dependent...
-
Prognosis prediction based on methionine metabolism genes signature in gliomas
BackgroundGlioma cells have increased intake and metabolism of methionine, which can be monitored with 11 C-L-methionine. However, a short half-life...
-
Machine Learning in Prediction of Nanotoxicology
The applications of nanomaterials in various fields have led to an urgent need for rapid assessment of the biosafety of nanomaterials. The...
-
ATHENA: an independently validated autophagy-related epigenetic prognostic prediction model of head and neck squamous cell carcinoma
The majority of these existing prognostic models of head and neck squamous cell carcinoma (HNSCC) have unsatisfactory prediction accuracy since they...
-
Genetic prediction of male pattern baldness based on large independent datasets
Genetic prediction of male pattern baldness (MPB) is important in science and society. Previous genetic MPB prediction models were limited by sparse...
-
Psilocybin therapy for treatment resistant depression: prediction of clinical outcome by natural language processing
RationaleTherapeutic administration of psychedelics has shown significant potential in historical accounts and recent clinical trials in the...
-
Prediction of medial knee contact force using multisource fusion recurrent neural network and transfer learning
Estimation of knee contact force (KCF) during gait provides essential information to evaluate knee joint function. Machine learning has been employed...
-
Integration of radiogenomic features for early prediction of pathological complete response in patients with triple-negative breast cancer and identification of potential therapeutic targets
BackgroundWe established a radiogenomic model to predict pathological complete response (pCR) in triple-negative breast cancer (TNBC) and explored...
-
RNA-binding proteins signature is a favorable biomarker of prognosis, immunotherapy and chemotherapy response for cervical cancer
Cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) still present a huge threaten to women’s health, especially the local...
-
Development of prediction model with machine learning in continuous twin screw granulation
PurposeThis study aimed to use machine learning to predict the quality of a drug product prepared through continuous manufacturing.
Methods ...