Do you wonder What is a rare disease?A rare disease is described as a disease that affects less than 200,000 people, yet it’s expected that 400 million people throughout the globe are living with one that's bigger than the entire population of the United States.
Life sciences organizations have continued to spend significantly in their investigation of globally eroding diseases, drug particle discovery, and advancement, and strictly controlled clinical trials, to create industry-approved blockbuster drugs.
The pharma journey, however, gets complex with more in-depth clinical and genetic analysis, as organizations continue to discover themselves handling more significant ‘unknowns’ than earlier.The arrival of machine learning (ML) and its associated abilities create numerous possibilities for intelligent intervention, which, if leveraged perfectly, can significantly increase the rare disease treatment journey.
Patient Data Patient-level data is possible in plenty today, coming in both structured and unstructured forms.
Companies are digging patient-level data from origins such as devices (wearables and smartphones), digital platforms (social media and search engines), and medical records (Electronic Health/Medical Records - EHRs/ EMRs and Real-World Evidence - RWE).
Also, by assuring a constant feedback loop mechanism, ML algorithms will help make these indicators more reliable over time.