NTHRYS › Internships › Ai Drug Repurposing › AI Polypharmacology-Based Repurposing Research

Deep Learning Models for Adverse Polypharmacology Effect Mitigation

Ai Drug Repurposing

AI Polypharmacology-Based Repurposing Research

Variant

Pay · Join

Step 4 of 5Select variant

Field

▾

Category

▾

Focused area

▾

You might prefer

Multi-Target Drug Interaction Prediction via Graph Neural Networks Transformer-Based Pharmacophore Discovery for Disease-Agnostic Targets Protein Conformational Dynamics and Allosteric AI Drug Binding Analysis Genomic Biomarker Integration for Polypharmacology Patient Stratification Natural Language Processing of Literature for Cryptic Drug Repurposing Signals Metabolic Pathway Simulation for Polypharmacological Off-Target Activity Prediction Federated Learning for Distributed Polypharmacology Network Pharmacology Studies Causal Inference Models for Drug-Target-Phenotype Relationship Elucidation Zero-Shot Learning for Orphan Disease Polypharmacology Drug Recommendations

Ai Drug Repurposing › AI Polypharmacology-Based Repurposing Research

Deep Learning Models for Adverse Polypharmacology Effect Mitigation

This research studies deep neural networks trained on multi-omics datasets to predict and classify adverse drug interactions arising from unintended polypharmacological effects. The research generates computational models that enable safer drug repurposing strategies by quantifying toxicity risks before clinical translation.

🎓 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.