ASCEND
BY NTHRYS

NTHRYS › Internships

Ai Precision Medicine

Ai Precision Medicine
Category
Focused area
Variant
Pay · Join
Step 2 of 5Choose category
Field
▾
Category
▾
Focused area
▾

Ai Precision Medicine

Choose a category below to begin. Each category opens into focused areas, and selecting a focused area lets you pick your final internship variant (your preferred track, mode and duration).

Internship Types — tap to learn more
Mode — tap to learn more
Duration — tap to learn more
🔍

Showing 1–20 of 50

AI Multimodal Biomarker Integration Research
Internship integrating biomarkers across modalities with AI into single actionable clinical scores. Includes mentored hands-on analysis sessions.
5 focused areasClick to view more details →
Machine Learning for Treatment Outcome Prediction
Internship predicting treatment outcomes with ML validated across sites, subgroups, and time. Guided practice with real datasets throughout.
5 focused areasClick to view more details →
AI Liquid Biopsy Precision Medicine Research
Internship using liquid biopsy with AI models that track disease and resistance from blood draws. Guided practice with real datasets throughout.
5 focused areasClick to view more details →
Deep Learning for Precision Oncology Research
Internship supporting precision oncology with deep integration of tumour molecular and imaging data. Applied sessions reinforce each technique.
5 focused areasClick to view more details →
AI Real-World Evidence Precision Medicine Research
Internship generating precision medicine evidence from real-world data with AI trial emulation. Hands-on work runs alongside theory modules.
5 focused areasClick to view more details →
AI Rare Disease Precision Therapy Research
Internship developing precision therapy for rare diseases with AI evidence built from few patients. Mentor-led sessions build applied skill.
5 focused areasClick to view more details →
AI Pharmacogenomics-Guided Therapy Research
Internship guiding prescribing with pharmacogenomic AI that matches genotype to safe effective drugs. Interns work with realistic case datasets.
5 focused areasClick to view more details →
AI Immune Profiling Precision Medicine Research
Internship guiding therapy with AI immune profiling that reads patient immune state before treatment. Applied sessions reinforce each technique.
5 focused areasClick to view more details →
AI Wearable-Enabled Precision Health Research
Internship personalising health monitoring with AI baselines learned from each individual wearer. Interns practise on genuine research problems.
5 focused areasClick to view more details →
AI Pediatric Precision Medicine Research
Internship advancing paediatric precision medicine with AI tuned for growth, dosing, and rarity. Practical exercises anchor every concept taught.
5 focused areasClick to view more details →
AI-Driven Genomic Variant Interpretation Research
Develop machine learning models to classify and prioritize genetic variants for clinical significance in personalized treatment planning.
5 focused areasClick to view more details →
Neural Networks for Medical Image Segmentation
Train deep learning architectures to automatically segment and analyze tumor regions from CT, MRI, and pathology images for precision diagnosis.
5 focused areasClick to view more details →
Predictive Analytics for Patient Stratification Research
Build classification models to group patients into risk categories based on multi-omics data for tailored intervention strategies.
5 focused areasClick to view more details →
AI Proteomics Data Mining Precision Medicine
Apply machine learning techniques to identify disease-associated protein signatures and biomarkers from mass spectrometry datasets.
5 focused areasClick to view more details →
Natural Language Processing Clinical Notes Analysis
Extract and structure phenotypic information from electronic health records using NLP to enable precision medicine cohort identification.
5 focused areasClick to view more details →
Graph Neural Networks Disease Mechanism Research
Model protein-protein interactions and molecular pathways using graph-based deep learning to uncover disease mechanisms.
5 focused areasClick to view more details →
AI Drug Response Prediction Platform Development
Create machine learning systems to predict individual drug sensitivity and resistance patterns from genomic and clinical datasets.
5 focused areasClick to view more details →
Metabolomics AI Pattern Recognition Research
Develop unsupervised learning algorithms to identify metabolic signatures associated with disease subtypes and treatment responses.
5 focused areasClick to view more details →
Federated Learning Privacy-Preserving Medicine Research
Implement distributed machine learning frameworks to train precision medicine models across multiple hospitals while protecting patient data.
5 focused areasClick to view more details →
AI Cardiac Risk Stratification Prediction Models
Build neural networks to predict cardiovascular outcomes and personalize preventive therapy using ECG, imaging, and genetic data.
5 focused areasClick to view more details →