The marriage of data, machine learning algorithms and medical laboratory science is leading to innovative engineering of medical laboratory systems. Nvidia's CEO has led many to believe that for the first time in human history, medical laboratory systems has the opportunity to be engineering and not science. The future of medicine lies at the intersection of AI and medical laboratories. Machine learning medical devices are now focused on narrow healthcare challenges, heralded by the new revolution called digital biology. The very complex processes of life can now be engineered to yield robust and repeatable healthcare treatments and interventions.
AI is now able to transform medical lab results into actionable health insights and recommendations that doctors probably had too little time to discover and just overlooked. This leads to improved patient outcomes, increased efficiency and enhanced decision making.
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