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Biomedical Internship Topics

Browse all focused areas across all internship categories under this field.

Biomedical Internships with Accommodation

Choose an internship topic, then explore accommodation-enabled internship options at active NTHRYS branch locations in India.

Showing 1–12 of 35 internship topics
Medical Image Analysis using Deep Learning
Interns will develop and train convolutional neural networks for segmentation and classification tasks on medical imaging datasets (CT, MRI, X-ray). Work includes data preprocessing, model optimization, and validation against clinical benchmarks.
AI Biomedical Data Science ResearchView internship →
Genomic Data Processing and Variant Analysis
Interns will analyze next-generation sequencing (NGS) data to identify genetic variants associated with diseases using bioinformatics pipelines and machine learning algorithms. Tasks include quality control, annotation, and statistical analysis of genomic patterns.
AI Biomedical Data Science ResearchView internship →
Electronic Health Records (EHR) Data Mining
Interns will extract, clean, and analyze clinical data from EHR systems to identify disease patterns, predict patient outcomes, and support clinical decision-making. Experience includes working with HIPAA-compliant datasets and temporal health data analysis.
AI Biomedical Data Science ResearchView internship →
Protein Structure Prediction and Molecular Modeling
Interns will utilize AI tools like AlphaFold and molecular dynamics simulations to predict protein structures and analyze drug-protein interactions. Work involves computational chemistry, structure validation, and applications in drug discovery pipelines.
AI Biomedical Data Science ResearchView internship →
Clinical Natural Language Processing (NLP)
Interns will develop NLP models to extract clinical information from unstructured medical text, including clinical notes and research papers. Focus areas include entity recognition, relationship extraction, and clinical outcome prediction from text data.
AI Biomedical Data Science ResearchView internship →
ECG Signal Classification using Deep Learning
Interns will develop and train neural network models to classify cardiac arrhythmias from electrocardiogram signals. Work involves data preprocessing, feature extraction, model optimization, and validation against clinical datasets to improve diagnostic accuracy.
AI Biomedical Signal Processing ResearchView internship →
EEG-based Brain-Computer Interface Development
Interns will process electroencephalography signals to extract meaningful brain activity patterns for BCI applications. Tasks include signal artifact removal, feature engineering, classification algorithm implementation, and real-time system testing.
AI Biomedical Signal Processing ResearchView internship →
EMG Signal Processing for Gesture Recognition
Interns will analyze electromyography signals from muscle activity to recognize and classify human gestures and movements. Research involves signal segmentation, machine learning model development, and applications in prosthetics or human-computer interaction.
AI Biomedical Signal Processing ResearchView internship →
Respiratory Signal Analysis and Sleep Apnea Detection
Interns will process breathing pattern data and physiological signals to develop automated detection systems for sleep disorders. Work includes signal acquisition optimization, anomaly detection algorithms, and validation with clinical polysomnography data.
AI Biomedical Signal Processing ResearchView internship →
Multimodal Biosignal Fusion for Health Monitoring
Interns will integrate multiple biomedical signals (ECG, PPG, respiration, temperature) using sensor fusion techniques to create comprehensive health monitoring systems. Research focuses on signal synchronization, feature correlation, and predictive health analytics.
AI Biomedical Signal Processing ResearchView internship →
Machine Learning for Medical Image Analysis
Interns will develop and validate deep learning models for automated diagnosis and segmentation tasks using medical imaging datasets (CT, MRI, X-ray). They will work on preprocessing pipelines, model optimization, and evaluation metrics to improve diagnostic accuracy across different pathologies.
AI Global Biomedical Health ResearchView internship →
Natural Language Processing in Clinical Documentation
Interns will build NLP systems to extract clinical entities, relationships, and insights from electronic health records and medical literature. Tasks include named entity recognition, clinical note summarization, and adverse event detection from unstructured medical text.
AI Global Biomedical Health ResearchView internship →
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