The day is not far away when a doctor might prescribe you medicines based on how promptly your body will process it, rather than relying on rough clues like your height and weight. This kind of nuanced approaches to health care - also known as precision medicine, is not as far off as you might think. This means, the future of medical treatments will begin to look beyond categories such as age, weight, height, overall health, and history of medical conditions and will be specifically targeted to your genome and current health condition. That future is being made possible through advances in Machine Learning and Artificial Intelligence (AI).
AI can help organizations capitalize on precision medicine in multiple ways. In terms of data challenges, AI leverages deep learning approaches to overcome the obstacles inherent in large data sets and unstructured data. In clinical settings, AI functions as an assistant that helps clinicians work more efficiently and make more accurate diagnoses, which helps improve the productivity of healthcare workers. And at a broader level, AI helps companies accelerate drug development to cut costs and achieve faster time to medicine while reducing errors in the system.
Precision medicine requires computing power algorithms that can learn by themselves at an unprecedented rate. With AI, this becomes possible. This, eventually, provides more accuracy and prediction of the patients' health. The diagnosis happens more strategically with a better and more advanced plan of action for treatment. AI also helps to predict if the disease will relapse in future, which helps the medical professionals to have a better understanding of the patient's existing health condition and also know what to look for before a disease is showing symptoms.
The convergence of AI and precision medicine promises to revolutionize health care. AI takes precision medicine to the next level and increases the accuracy and prediction of outcome for patients. Some believe that precision medicine is not completely possible without the addition of machine learning algorithms to assist in the process. There are many challenges ahead for precision medicine to be perfect, but AI can help drive us closer to those goals.
Today, AI, machine learning and deep learning are no longer future technologies; they’ve already found traction in the medical field. At a time when the medical industry is undergoing drastic changes, these brilliant technological trends are bringing in the change to improve all aspects of patient care and enhanced clinical collaboration. At HPE, the OEM team has been consistent in driving innovation and Machine Learning that has opened up an accelerated path to stay ahead of the competition and further enhance the value of your solutions.
Click here to learn how HPE Artificial Intelligence and Data-Driven Services will help you in every step of the way from big data foundation to AI-driven automated business outcomes.
For more information on HPE OEM and how to engage, read here.
Follow us on Twitter | Join our LinkedIn group | Read OEM Solutions blog on the HPE Community | Register here
More Featured Blogs:
- Turning Smart Cities into Intelligent Urban Ecosystems
- How is Machine Learning reshaping the future of the education sector?
Matt Quirk
Hewlett Packard Enterprise
twitter.com/hpe_partner
LinkedIn/groups/6988995/
hpe.com/us/en/solutions/OEM
MattQuirk
With a passion for innovation and technology, I am lucky enough to work within high-growth opportunities across multiple industries including manufacturing, healthcare, energy, media and entertainment and security - with technology innovations that are advancing the way people live and work such as AI, autonomous everything and 5G.
