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ontosight
Your AI Research Assistant
https://github.com/innoplexus-opensource/ontosight
Last synced: about 3 hours ago
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**2\. Oncology**
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**2.2 AI for Personalized Oncology**
- Cancer Survival Prediction with Deep Learning
- AI for Targeted Cancer Therapies
- Precision Medicine in Oncology with AI
- Deep Learning for Predicting Tumor Responses to Therapy
- Precision Medicine in Oncology with AI
- Deep Learning for Predicting Tumor Responses to Therapy
- AI for Immunotherapy Predictions
- AI for Immunotherapy Predictions
- Cancer Survival Prediction with Deep Learning
- AI for Targeted Cancer Therapies
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**2.3 AI in Cancer Genomics**
- AI for Analyzing Cancer Genomic Data
- Deep Learning for Somatic Mutation Prediction
- AI for Identifying Cancer Biomarkers
- Single-Cell RNA-Seq Analysis with AI
- Graph Neural Networks for Cancer Pathway Analysis
- AI for Analyzing Cancer Genomic Data
- Deep Learning for Somatic Mutation Prediction
- AI for Identifying Cancer Biomarkers
- Single-Cell RNA-Seq Analysis with AI
- Graph Neural Networks for Cancer Pathway Analysis
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**2.1 Cancer Diagnostics Using AI**
- Deep Learning for Cancer Detection in Histopathology Images
- AI-Assisted Breast Cancer Detection
- Multi-Scale Deep Learning for Tumor Classification
- Radiomics for Cancer Diagnosis
- AI for Early Cancer Detection
- Deep Learning for Cancer Detection in Histopathology Images
- AI-Assisted Breast Cancer Detection
- Multi-Scale Deep Learning for Tumor Classification
- Radiomics for Cancer Diagnosis
- AI for Early Cancer Detection
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**3\. Clinical Research**
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**3.2 Real-World Evidence and AI**
- AI for Real-World Evidence in Clinical Research
- Natural Language Processing for Clinical Data Extraction
- AI in Electronic Health Record Analysis
- Federated Learning in Clinical Research
- Causal Inference for Clinical Research with AI
- AI for Real-World Evidence in Clinical Research
- Natural Language Processing for Clinical Data Extraction
- AI in Electronic Health Record Analysis
- Federated Learning in Clinical Research
- Causal Inference for Clinical Research with AI
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**3.3 AI in Adverse Event Prediction**
- Predicting Adverse Drug Events Using AI
- AI Models for Pharmacovigilance
- AI for Early Detection of Adverse Events
- Bayesian Models for Adverse Event Prediction
- AI Models for Pharmacovigilance
- Predicting Adverse Drug Events Using AI
- AI for Early Detection of Adverse Events
- Bayesian Models for Adverse Event Prediction
- Multi-Modal AI for Drug Safety
- Multi-Modal AI for Drug Safety
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**3.1 AI in Clinical Trial Design**
- AI for Predicting Clinical Trial Success
- AI for Adaptive Clinical Trial Design
- AI for Patient Recruitment in Clinical Trials
- Predicting Clinical Outcomes with AI
- AI for Patient Recruitment in Clinical Trials
- AI for Predicting Clinical Trial Success
- AI for Adaptive Clinical Trial Design
- Predicting Clinical Outcomes with AI
- Optimizing Clinical Trials with AI
- Optimizing Clinical Trials with AI
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**Acknowledgments**
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**1\. Drug Discovery**
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**1.1 AI-Driven Molecular Design**
- Generative Models for Drug Discovery: A Review
- A Survey of Machine Learning for Molecular Design
- Generative Models for Drug Discovery: A Review
- A Survey of Machine Learning for Molecular Design
- Deep Learning for De Novo Drug Design
- Molecular Optimization Using Reinforcement Learning
- Graph-Based Deep Learning Models for Molecular Property Prediction
- Deep Learning for De Novo Drug Design
- Molecular Optimization Using Reinforcement Learning
- Graph-Based Deep Learning Models for Molecular Property Prediction
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**1.2 Predictive Models for Drug-Target Interactions**
- DeepDTA: Deep Learning for Drug-Target Binding Affinity Prediction
- Attention Mechanisms for Drug-Target Interaction Prediction
- Transformer-Based Models for Drug Discovery
- A Multi-Modal Approach for Drug-Drug Interaction Prediction
- DeepDTA: Deep Learning for Drug-Target Binding Affinity Prediction
- Attention Mechanisms for Drug-Target Interaction Prediction
- Transformer-Based Models for Drug Discovery
- A Multi-Modal Approach for Drug-Drug Interaction Prediction
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**1.3 High-Throughput Screening with AI**
- AI-Augmented Virtual Screening for Drug Discovery
- Efficient High-Throughput Screening with Graph Neural Networks
- AI Models for Rapid Drug Candidate Screening
- Drug Repositioning Using AI Models
- Deep Learning for Drug Synergy Prediction
- AI Models for Rapid Drug Candidate Screening
- Drug Repositioning Using AI Models
- Deep Learning for Drug Synergy Prediction
- AI-Augmented Virtual Screening for Drug Discovery
- Efficient High-Throughput Screening with Graph Neural Networks
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Sub Categories
**3.2 Real-World Evidence and AI**
10
**2.3 AI in Cancer Genomics**
10
**2.2 AI for Personalized Oncology**
10
**2.1 Cancer Diagnostics Using AI**
10
**3.1 AI in Clinical Trial Design**
10
**3.3 AI in Adverse Event Prediction**
10
**1.1 AI-Driven Molecular Design**
10
**1.3 High-Throughput Screening with AI**
10
**1.2 Predictive Models for Drug-Target Interactions**
8
**Acknowledgments**
2