If you're looking for a service to help with post-approval drug monitoring and research, eHealthMe is a great choice. The service combines big data and AI/ML algorithms so people can run their own phase IV clinical trials, getting a real-world view of drug effects and seeing studies updated with new data drawn from large populations. It's useful for monitoring drug effects and side effects and spotting problems that can help doctors and patients make better decisions.
Another service worth considering is DrugBank, a database of more than 500,000 drug products that also offers modules like Clinical API, Drug Search and Drug-Drug Interaction Checker API. The service can help you find useful information, search for drugs and get patient-focused information, and categorize drugs and look for interactions. That can be useful for everything from understanding how drugs work to spotting potential problems.
If you want to tap into generative AI, Huma.AI offers a service geared for the life sciences industry. It's designed to improve scientific communication, understand real-world data and automate post-market surveillance with validated accuracy. That could be useful for medical affairs, clinical development and regulatory affairs teams trying to get work done and make decisions based on data.
And Empatica offers AI-powered wearables and software for real-world health monitoring and research. Its FDA-cleared Health Monitoring Platform is designed to be highly scalable and adaptable, so you can get a continuous and accurate view of health. That can be useful for evaluating treatment effects and developing digital biomarkers, so it's a good choice for researchers who want to collect raw data and digital biomarkers in multiple phases of a trial.