NTHRYS › Internships › Ai Drug Repurposing › AI Network Medicine Drug Repurposing Research

Graph Neural Networks for Multi-Target Drug Interaction Prediction

Ai Drug Repurposing

AI Network Medicine Drug Repurposing Research

Variant

Pay · Join

Step 4 of 5Select variant

Field

▾

Category

▾

Focused area

▾

You might prefer

Deep Learning Disease Similarity Networks for Therapeutic Indication Mapping Attention Mechanisms in Side Effect Profiling and Drug Safety Assessment Knowledge Graph Embedding for Biomedical Entity Relationship Discovery Federated Learning for Privacy-Preserving Multi-Center Drug Efficacy Data Integration Natural Language Processing of Clinical Trials for Repurposing Signal Detection Causal Inference Networks for Mechanism-of-Action Pathway Identification Transfer Learning Models from Large-Scale Omics Data for Disease State Prediction Reinforcement Learning for Optimal Drug Combination Sequencing in Polypharmacy Networks Physics-Informed Neural Networks for Molecular Docking and Binding Affinity Prediction

Ai Drug Repurposing › AI Network Medicine Drug Repurposing Research

Graph Neural Networks for Multi-Target Drug Interaction Prediction

This research investigates how graph neural networks can model complex protein-protein interaction networks to identify novel drug targets for repurposing candidates. The work produces predictive models that reveal hidden therapeutic pathways and significantly reduce the time required for computational drug candidate screening.

🎓 TYPE

🌐 MODE

⏱

📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal

Select your preferenceChoose Type, Mode, Duration to view Titles

Internship Type

Mode

Duration

🎯

Choose your preferences above

Select Type, Mode and Duration to view available internship titles and fees.