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Скачать или смотреть AI in Drug Discovery & Development Explained CodeVisium

  • CodeVisium
  • 2025-10-03
  • 216
AI in Drug Discovery & Development Explained CodeVisium
AI in drug discoveryAI drug developmentartificial intelligence pharmaceutical researchAI in clinical trialsdrug target interaction AImolecule screening AIAI in pharma industrydrug repurposing AIcost reduction in drug discoveryAI healthcare innovationbiotechnology AIAI in medicineCodeVisium drug discovery
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Описание к видео AI in Drug Discovery & Development Explained CodeVisium

AI is revolutionizing drug discovery and development by accelerating processes that once took decades. At CodeVisium, we explain how machine learning, deep learning, and bioinformatics transform pharmaceutical research.

🔹 Molecule Screening – Instead of testing each compound manually, AI algorithms can analyze millions of chemical structures in minutes, identifying the most promising candidates.

🔹 Drug-Target Interaction – AI models simulate how a potential drug binds with specific proteins or receptors, helping scientists understand drug effectiveness before costly lab tests.

🔹 Clinical Trial Optimization – AI helps recruit the right participants, predicts patient responses, and reduces trial failures, making research more efficient.

🔹 Cost & Time Reduction – Traditional drug development can take 10–15 years and billions of dollars. AI reduces this timeline to a few years, saving costs dramatically.

🔹 Drug Repurposing – AI finds new applications for old drugs. For example, existing medicines have been repurposed during global health crises with AI’s help.

At CodeVisium, we simplify these breakthroughs into short, knowledge-packed videos for students, researchers, analysts, and professionals who want to understand the impact of AI in medicine and biotechnology.

5 Questions & Answers:

Q1. How does AI speed up molecule screening in drug discovery?
A1. AI analyzes large chemical libraries and predicts which compounds may be effective, reducing the need for slow, manual lab testing.

Q2. What is drug-target interaction in AI drug discovery?
A2. It is the prediction of how a drug will bind with proteins or receptors in the body, which helps in designing effective treatments.

Q3. How does AI improve clinical trials?
A3. AI selects participants based on genetic and medical data, predicts trial outcomes, and minimizes trial failures.

Q4. How does AI reduce the cost and time of drug development?
A4. By automating molecule screening, predicting outcomes early, and optimizing trials, AI cuts drug discovery from decades to just a few years.

Q5. What is drug repurposing, and how does AI help?
A5. Drug repurposing means finding new uses for existing medicines. AI analyzes medical and chemical databases to identify alternative applications quickly.

#AI #DrugDiscovery #MedicalAI #Biotechnology #Pharma #HealthcareInnovation #MachineLearning #DeepLearning #Bioinformatics #CodeVisium

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