AI/ML-powered precision medicine solutions allow doctors to make accurate and timely diagnosis for increasing the quality of patient care whilst reducing healthcare related costs. The goal of AI/ML-powered applications in precision medicine is to shift clinical treatment from a “trial-and-error” approach to “the right drug, for the right patient, at the right time” approach. The aim of precision medicine is to ensure that hospitals generate timely and accurate data, obtain a comprehensive and longitudinal view of the patient, transform data into relevant diagnostic insights, and ensure an enterprise-wide approach to the relevance and the systemic execution of diagnoses.
Deploying high-performance computing to enable AI/ML-powered precision medicine workloads at the point-of-care or on-premises doesn't come without its challenges. Deploying IT at the point-of-care means deploying it in close proximity to people. People present risk to the IT in terms of accidental damage, tampering and contamination whilst the IT presents risk to the people in terms of noise, heat, germs and space consumption. Deploying IT on-premises in existing server rooms presents challenges such as space availability, power availability, heat rejection, scalability, monitoring and maintenance.
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