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Deep Learning in Drug Discovery and Medicine; Scratching the Surface
Dibyendu Dana1, Satishkumar V Gadhiya2, Luce G St Surin3
1Department of Preclinical Research, Angion Biomedica Corporation, Nassau, NY 11553, USA. ddana@angion.com.
Molecules (Basel, Switzerland)
|September 21, 2018
Summary
Precision medicine uses individual molecular profiles for tailored therapies, evolving from oncology to broader diseases. Artificial intelligence is now revolutionizing drug discovery and molecular therapy through advanced algorithms and data analysis.
Area of Science:
- Biomedical Science
- Computational Biology
- Drug Discovery
Background:
- Medical diagnosis has evolved from physician-based methods to sophisticated, minimally invasive biomarker analysis.
- Allopathy has dominated for a century, but its limitations and the omics revolution have paved the way for precision medicine.
- Precision medicine tailors therapies based on individual molecular profiles, expanding from oncology to other diseases.
Purpose of the Study:
- To review advancements in directed drug design and molecular therapy.
- To highlight the impact of artificial intelligence (AI) on modern medicine and drug discovery.
- To explore the integration of diverse scientific disciplines in developing novel therapeutic strategies.
Main Methods:
- Leveraging omics and bioinformatics for precision medicine.
- Utilizing AI, including transfer learning and recurrent neural networks, for drug discovery.
- Analyzing large, privacy-protected health databases and omics signatures.
Main Results:
- AI is automating the design of new chemical entities and predicting drug safety, metabolism, and clearance.
- AI facilitates the engineering of on-demand drug delivery systems.
- Comparative analysis of omics signatures enables basket treatment strategies across diseases.
Conclusions:
- Precision medicine and AI are transforming healthcare, offering personalized and efficient therapeutic approaches.
- The convergence of multiple scientific fields is accelerating innovation in molecular therapy and drug design.
- Future medical practices will increasingly rely on AI-driven insights for targeted and effective treatments.
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