How could Artificial Intelligence lead to better diagnoses & cure of Parkinson's disease?

[AudreyCox]

Parkinson's disease (PD) is one of the most common neurological disorders in the US. A very serious condition as experts believe, PD is expected to more than double by 2040, according to an article published by the Michael J. Fox Foundation. Hence, patients must undergo reliable diagnosis and early-stage detection for an improved cure. Artificial Intelligence (AI) is one of the most advanced technologies that can help scientists identify trends and models across Parkinson's data. Experts claim proper utilization of AI can lead to better diagnosis and monitoring of PD.

According to Mark Frasier, PhD, a senior vice-president of research programs for the Michael J. Fox Foundation, the challenge today is to "analyze the treasure-trove of complex imaging, clinical, and molecular data" with the help of traditional statistical approaches. "AI and machine learning technologies can help scientists identify trends and models across Parkinson's data. These frameworks can help researchers design more efficient and accurate clinical studies and drug trials, speeding discovery and bringing new personalized treatments to patient hands faster", he said.

With the help of AI, doctors can uncover new insights in data, which can help in better understanding a patient's condition. This, eventually, provides more accuracy and prediction of the patients' health, hence diagnosis happens more strategically with a better and more advanced plan of action for treatment. 

At a time when the medical industry is undergoing drastic changes, AI is 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 enabling Machine Learning solutions, opening up an accelerated path to stay ahead of the competition and further enhance the value of healthcare solutions.

Related links:

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Audrey Cox
Hewlett Packard Enterprise

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