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Ai Toxicology

Ai Toxicology
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Ai Toxicology

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).

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Showing 1–20 of 50

AI Predictive Toxicology Model Development Research
Internship developing predictive toxicology models with AI validated against regulatory datasets. Applied sessions reinforce each technique.
Academic (A)Tech (T)Research (R)
1 Month
A · ₹7,670
T · ₹21,814
R · ₹31,730
3 Months
A · ₹28,684
T · ₹35,058
R · ₹50,994
6 Months
A · ₹63,742
T · ₹77,907
R · ₹1,13,320
14 more durations from 5 days to 1 year
5 focused areasClick to view more details →
Machine Learning for Organ-Specific Toxicity
Internship predicting organ-specific toxicity with ML that separates liver, kidney, and heart risk. Practical exercises anchor every concept taught.
5 focused areasClick to view more details →
AI New Approach Methodology Toxicology Research
Internship advancing new approach methodologies with AI that reduces reliance on animal testing. Interns practise on genuine research problems.
5 focused areasClick to view more details →
Deep Learning for Genotoxicity Prediction
Internship predicting genotoxicity with deep models trained across assay batteries and structures. Includes mentored hands-on analysis sessions.
5 focused areasClick to view more details →
AI Mixture Toxicology Interaction Research
Internship studying chemical mixture effects with AI models of additivity, synergy, and antagonism. Mentor-led sessions build applied skill.
Academic (A)Tech (T)Research (R)
1 Month
A · ₹7,670
T · ₹22,079
R · ₹32,115
3 Months
A · ₹29,032
T · ₹35,484
R · ₹51,613
6 Months
A · ₹64,517
T · ₹78,854
R · ₹1,14,696
14 more durations from 5 days to 1 year
5 focused areasClick to view more details →
AI Developmental & Reproductive Toxicology AI
Internship studying developmental toxicity with AI models across exposure windows and endpoints. Practical exercises anchor every concept taught.
5 focused areasClick to view more details →
AI Neurotoxicity Mechanism Discovery Research
Internship discovering neurotoxicity mechanisms with AI analysis of neuronal assays and imaging. Hands-on work runs alongside theory modules.
5 focused areasClick to view more details →
AI Environmental Toxicology Biomarker Research
Internship discovering environmental toxicity biomarkers with AI across species and exposures. Interns work with realistic case datasets.
5 focused areasClick to view more details →
AI Toxicokinetics Modeling Research
Internship modelling toxicokinetics with AI estimation of absorption, distribution, and clearance. Guided practice with real datasets throughout.
5 focused areasClick to view more details →
AI Adverse Outcome Pathway Research
Internship building adverse outcome pathways with AI linking molecular events to organism harm. Includes mentored hands-on analysis sessions.
5 focused areasClick to view more details →
Neural Network Hepatotoxicity Screening Pipeline
Develop and validate deep learning models to predict liver toxicity from molecular structures and biochemical assay data.
5 focused areasClick to view more details →
Graph Neural Networks Drug Safety Assessment
Apply graph-based neural networks to molecular representations for enhanced prediction of compound toxicological properties.
5 focused areasClick to view more details →
Cardiotoxicity Risk Stratification Models
Build machine learning classifiers to identify pharmaceutical compounds with cardiotoxic potential using multi-modal data integration.
5 focused areasClick to view more details →
AI Immunotoxicity Prediction Framework
Design computational models to predict immunotoxic responses and adverse immune effects from chemical exposure data.
5 focused areasClick to view more details →
Nephrotoxicity Early Warning Systems
Develop AI systems to detect early indicators of kidney damage and nephrotoxic mechanisms in high-throughput screening data.
5 focused areasClick to view more details →
Pulmonary Toxicity Pattern Recognition Study
Use machine learning to identify latent patterns in respiratory toxicity datasets and predict lung damage from chemical exposure.
Academic (A)Tech (T)Research (R)
1 Month
A · ₹7,670
T · ₹22,079
R · ₹32,115
3 Months
A · ₹29,032
T · ₹35,484
R · ₹51,613
6 Months
A · ₹64,517
T · ₹78,854
R · ₹1,14,696
14 more durations from 5 days to 1 year
5 focused areasClick to view more details →
Skin Sensitization Classification Neural Models
Train deep learning architectures to classify skin sensitizing agents and predict allergenic potential from molecular descriptors.
5 focused areasClick to view more details →
In Vitro to In Vivo Toxicity Translation
Develop AI algorithms to bridge in vitro assay results with in vivo toxicological outcomes for improved human relevance prediction.
5 focused areasClick to view more details →
Metabolite Toxicity Prediction AI Platform
Create computational models to predict toxicity of drug metabolites and reactive species formation during biotransformation.
5 focused areasClick to view more details →
Chemical Read-Across Machine Learning Methods
Implement AI-driven read-across approaches to predict toxicological endpoints for untested chemicals based on similar compounds.
5 focused areasClick to view more details →