AI defines the future of healthcare


Personalized medicine

June 6, 2024, 2:56 PM | Author: Marten Neubauer / Editor: Michaela Wurm

AI promises to improve all areas of our lives. Technology is also becoming increasingly important for healthcare: with it, the healthcare sector opens the door to personalized medicine, says Marten Neubauer, Field Director Healthcare at Dell. HPC is essential for this.

The healthcare industry has made incredible progress over the past decade. However, demographic change and rising healthcare costs continue to pose major challenges to the system, especially in the area of ​​medical care. The mandate for the healthcare industry and the life sciences industry is clear: they must find ways to treat patients more cost-effectively, faster, and more effectively. The starting point for this is exceptionally good, as science has created excellent conditions over the past decades. These include advances in genomics, bioinformatics, microscopy, medical imaging, and many other areas. They have unleashed a flood of data that, if collected and analyzed properly, can improve patient care. The key to unlocking the true value of this wealth of medical data is technologies such as AIAlgorithmsthat run on High Performance Computing (HPC) systems.


Personalized medicine as the new standard

Dr.-Ing. Marten Neubauer is Field Director Healthcare Account Executive Data Protection Solutions at Dell Technologies
Dr.-Ing. Marten Neubauer is Field Director Healthcare Account Executive Data Protection Solutions at Dell Technologies

Among other things, doctors can develop customized treatment plans by using AI in combination with HPC. In practice, this involves analyzing huge datasets, discovering unique patterns and drawing conclusions from them at high speed. Artificial intelligence is key here, as no human could perform these tasks manually. The technology therefore has the potential to revolutionize patient care, promising greater efficiency and more predictive and accessible medical care.


Until now, healthcare providers have relied on a one-size-fits-all approach that treats the disease rather than the individual. Innovative diagnostic procedures and personalized therapies have great potential to either prevent the onset of many diseases or, if this is not possible, allow for much earlier diagnosis and treatment that is precisely tailored to the individual.



HPC for the best medical care


High-performance computing is a critical piece of the puzzle when it comes to personalizing diagnostics and therapy. High-performance computing enables physicians to quickly gain actionable insights from large, complex data sets. With this technology, they can now perform genomic analyses that once took days in minutes. Without HPC systems that can execute compute-intensive workloads at high speed, the deployment of Machine learning and AI to analyze medical images, recognize patterns across populations, develop medical devices, or solve problems such as predicting protein structures is simply not possible.


Another example of the importance of high-performance computing for healthcare is the use of electronic health records (EHRs). They are a potential source of comprehensive, real-time information about the health status of patients. With growing data volumes, healthcare organizations can only deliver personalized care at a low cost by implementing new systems that can process large, distributed sources of information. HPC offers healthcare organizations the performance and efficiency they need. Thanks to this advanced medical practice, physicians can provide more than just personalized treatments. They also make it possible to develop specific prevention, diagnosis and treatment methods based on the unique genomic characteristics of patients, to estimate individual disease risk and to provide customized reactive and proactive drug therapies.



Groundbreaking AI technologies


Many exciting AI research projects for healthcare have already found their way into practice, including in the field of cancer diagnosis and treatment. In Europe alone, 16 to 17 million people are currently being treated for cancer or are in long-term remission after treatment; this number is expected to increase in the coming decades. Fortunately, AI tools are already detecting tumors and lesions that doctors might miss. Artificial intelligence has also advanced robotic surgery and improved the situation for patients. Integrating AI and robots into surgical processes will ultimately help increase the efficiency of surgeons. Pre-surgery data from medical records can be Algorithms analyzed to assist the team in planning procedures and guiding the execution of the operation.


While the future of AI-powered healthcare based on HPC is promising, the question is whether the medical community is prepared for this revolution. To realize its full potential, the healthcare industry must not only invest in technology, but also in expertise. Collaboration with technology partners is crucial, as they can contribute their AI skills and expertise to enable rapid scaling of AI projects. When the technology and healthcare industries work together, the next generation of patients will experience a level of care that we could only dream of until recently.


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