Among other goals, UCLA expects that the new platform will help enhance collaboration among researchers and accelerate innovation in precision medicine research.

When it comes to clinical trials, says one CMO, AI has the potential to revolutionize many aspects of the process, and one area where it’s already making an impact is patient recruitment.

High-quality care will always require strong interpersonal relationships, but AI can provide valuable help to doctors who are struggling to cope with the pressures of modern healthcare.

Users interact with the new tool via a web interface that allows them to execute machine learning experiments and explore generated models, while an AI recommendation engine will automatically choose appropriate models and parameters.

When combined with AI, data from novel sources such as environmental and community data, could revolutionize the way providers make clinical decisions, but only if the underlying architecture is in place.

According to a recent expert panel, one of the key principles that all should agree to when it comes to AI is that AI tools are meant to augment, not replace, doctors.

As the healthcare sector begins to realize the benefits of AI, says one observer, medical students and practitioners must not lose sight of how technology is shaping the future of the profession.

By combining experimental biology and automation with AI, Recursion hopes to improve the efficiency of discovering potential drugs for diverse indications, including genetic disease and infectious disease.