The drug discovery process involves complex activities. With the help of AI (Artificial Intelligence) and ML (Machine Learning) you can accelerate the process while following the protocols. Our team at i2e carries the expertise to understand your requirements and develop best-in-class custom software solutions which can streamline the drug discovery process. Explore the various applications of AI and ML in drug discovery.
Using AI and ML-powered applications pharma companies can increase the success rates of drug discovery. From predicting success rates to estimating toxicities, AI can help you visualize the viability of the drug and gauge its success beforehand.
To make health care available to all, pharma companies can make use of AI and ML technologies, to increase precision during drug discovery. Thus, creating affordable drugs.
Automate repetitive tasks and save hundreds of man-hours.
Avoid trial and error and accurately select excipients.
Replace traditional animal testing with advanced AI models.
Cost effective drug repurposing through forecasting efficacy and drug interactions.
AI and ML also help businesses to reduce operational costs, without compromising the quality of the drug development process.
Evaluate drug safety accurately by digitalization of the toxicity studies using AI and ML.
High toxicity is the major contributor to two-thirds of post-marketing drug withdrawals. Thanks to technologies backed by AI and ML, preclinical toxicity studies are now faster, cost-effective, and ethical.