🚀 AI Advances in Drug Toxicity Prediction 🌟(part 1)
🔬 AI is revolutionizing how we predict drug toxicity, enhancing safety and efficiency in drug discovery.
Covered points:
🧬 Background:
-Importance: Critical for identifying safe, effective drugs.
-Challenges: Traditional testing is costly and still prone to late-stage surprises.
🤖 AI Techniques:
-Machine Learning:
1.Random Forests: Classify and assess toxicity 🌱.
2.Support Vector Machines & Neural Networks: Analyze chemical structures 🧪.
3.Deep Learning:
CNNs: Detect cell changes in response to toxins.
RNNs: Track gene expression changes over time ⏳.
💡 Impact: AI improves accuracy, cuts costs, and speeds up drug discovery.
With Mohammed Zaiter and Sia Abou Wadi
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