Why precision medicine

How precision medicine is helping make better reccomendations for patients

Typically, when a patient is suffering from an illness or chronic pain, his or her doctor would probably try to diagnose the issue and prescribe a certain drug or create a treatment plan. But this process is considerably inefficient and potentially unreliable. It would be impractical for the doctor to go through all the specific details related to the patient's health. Holistically recommending a medicine or treatment plan would be essentially impossible.
Precision medicine effectively solves this problem by being able to quickly scan huge amounts of medical data and create customized treatments plans in a much shorter time. As computers become even more powerful, we can only expect precision medicine algorithms to become even more accurate.


The 3 Technologies

How technology enhances predictive medicine

Precision medicine has become far more useful in recent years mainly because of huge advancements in machine learning. Machine learning algorithms can quickly look through a patient's electronic health records and even create a treatment plan in a relatively short time. Before its usage, doctors would have to manually study patient records and perform tedious calculations. Today, machine learning is streamlining the process and gradually bringing precision medicine to the masses.
Big data has significantly helped precision medicine become more accurate. As EHRs are becoming more widely used all around the world, precision medicine is slowly becoming more practical. The idea that people will be able to recieve treatments personalized for themselves is slowly becoming a reality.


The internet of things plays a key role in precesion medicine. As health-focused wearables are more prevalent today, electronic health data is now more readily available in real time. Precision medicine algorithms can make more useful suggestions for patients no matter where they are.


Machine learning, big data, and the Internet of Things all work together to reliably assist clinicians. Find out how




How it works

The process of precision medicine

How machine learning algorithms transform health records into simple and precise suggestions for patients, doctors, and clinicians. Read here



Research

A few of the companies developing predictive analytics for medicine

KineMed's technology uses mass spectometry and thousands of biomarkers to create reliable personalized suggestions for patients.
Epic Sciences has developed a digital pathology software that can analyze blood samples and perform genomic tests on single cells.