Morgan

Applying Biological AI to population genetics @ Uni of Edinburgh

[Morgan @MorganPHT]

@CrossCountryUK @thetrainline They never replied

[Morgan @MorganPHT]

Integrating computational pathology and multi-transcriptomics to characterize lung adenocarcinoma heterogeneity and prognostic modeling https://t.co/K6ZFj7HHtc

[Morgan @MorganPHT]

A Novel Method for Endometrial Cancer Patient Stratification Considering ARID1A Protein Expression and Activity with Effective Use of Multi-omics Data https://t.co/MOhCZ92tep

[Morgan @MorganPHT]

Bioinformatics-Based Screening and Validation of PANoptosis-Related Biomarkers in Periodontitis https://t.co/8KtDkdMi2w

[Morgan @MorganPHT]

Intervention of machine learning in bladder cancer research using multi-omics datasets: systematic review on biomarker identification https://t.co/xf3VwA3Xqq

[Morgan @MorganPHT]

Exercise-related immune gene signature for hepatocellular carcinoma: machine learning and multi-omics analysis https://t.co/aBOPC1RLno

[Morgan @MorganPHT]

Machine Learning Combined Multi-Omics Analysis to Explore Key Oxidative Stress Features in Systemic Lupus Erythematosus https://t.co/BJqdOZq1EU

[Morgan @MorganPHT]

Machine learning and multi-omics analysis reveal key regulators of proneural–mesenchymal transition in glioblastoma https://t.co/LSR5wpWZHk

[Morgan @MorganPHT]

Artificial intelligence for early prediction of alcohol-related liver disease: Advances, challenges, and clinical applications https://t.co/IpavZJSe4X

[Morgan @MorganPHT]

… m6A‐Related Genes in Tumor‐Associated Macrophages for Prognosis, Immunotherapy, and Drug Prediction in Lung Adenocarcinomas Based on Machine Learning … https://t.co/DlvygNAGlp

[Morgan @MorganPHT]

Treatment Resistant Persister Cells Exploit Macrophage Lipid Metabolism to Sustain Glioblastoma Growth https://t.co/6qHIqRr0Df

[Morgan @MorganPHT]

Study of combination CAR T-cell treatment for glioblastoma using mathematical modeling https://t.co/fxy5dy7XJ1

[Morgan @MorganPHT]

Robust self-supervised machine learning for single cell embeddings and annotations https://t.co/pXJIsGOasa

[Morgan @MorganPHT]

Preliminary insights into salivary proteomic versus targeted biomarker profiles associated with acute physical fatigue https://t.co/JHbojOuSTg

[Morgan @MorganPHT]

Positional frequency chaos game representation for machine learning-based classification of crop lncRNAs https://t.co/yZtBwozohd

[Morgan @MorganPHT]

The Neurofibrillary Tangle Maturity Scale: A Novel Framework for Tangle Pathology Evaluation in Alzheimer's Disease https://t.co/jR3zpyfXgm

[Morgan @MorganPHT]

Enhancing Strain-level Phage-Host Prediction through Experimentally Vali-dated Negatives and Feature Optimization Strategies https://t.co/lPjxDrHaCs

[Morgan @MorganPHT]

A network medicine framework for multi-modal data integration in therapeutic target discovery https://t.co/bsl0f8UQRQ

[Morgan @MorganPHT]

Longitudinal structural and perfusion MRI enhanced by machine learning outperforms standalone modalities and radiological expertise in high-grade glioma … https://t.co/dl8DFKHnNx

[Morgan @MorganPHT]

Trajectories of family functioning and financial toxicity in patients with glioma: a longitudinal study https://t.co/dT3R1uIB1y