1. New drug development
The pain points of new drug development are long cycle, averaging 10 years; high cost, about 1.5 billion dollars for each new drug; and low success rate, with only 1 out of about 5000 candidate compounds making it to II clinical trials. Drug R&D combined with AI technology will significantly improve R&D efficiency and reduce costs. Currently, AI is used in drug discovery, including drug mining, safety and efficacy prediction of new drugs, and biomarker screening.
2, auxiliary disease diagnosis
In fact, diagnosis is the process of data analysis, from the genetic sequence to image picture analysis, the patient will produce a large amount of data, machine learning should be born. Through AI analysis technology and machine learning combined with each other, greatly improving the quality of medical services and prognosis.3, assisted treatment
AI technology can also be used to assist in clinical decision-making. For example, selecting the appropriate dosage of medication and developing safe and effective individualized treatment plans, of which the most successful case of assisted treatment is the application of IBM Watson in the adjuvant treatment of tumors.
4, health management
Emotion recognition is a hot field of AI. The field has spawned a lot of great technology to recognize human emotions and moods from language, expressions, and speech. http://Ginger.IO?和 Mobile Therapy company mines users' smartphone data to find subtle fluctuations in their mental health. Artificial Intelligence can also be used to identify disease risks and risk reduction measures. Personalized health management plans are designed for individuals, and personalized health management programs are created through the analysis of personal health record data.