What is Technology’s Role in Advancing or Accelerating Precision Medicine?

Precision Medicine: An Intro

There is a lot of overlap between the term “precision medicine” and “personalized medicine”. Although, these terms might be used interchangeably; it is important to note that there is a great difference between the two. The term “personalized medicine” is misunderstood to imply treatments which are uniquely developed for each person. However, in the case of ‘precision medicine’, the focus is to identify the most suitable approach based on the patient’s environment, genetic factors, and lifestyle habits. For instance, a person needing blood transfusion is given blood only after careful diagnosis. The blood type of the donor is matched with the recipient. This reduces the threat of any medical complications. This what ‘precision medicine’ means.

Precision medicine will allow doctors and researchers to accurately predict the treatment and preventive strategies. These solutions can be implemented across a group of people. Genetic information about an individual’s illness can be used for diagnosis. The field of pharmacogenomics aims to understand how genetic variations influence an individual’s biological responses to medications.

Technology and Medicine

Digital health technologies have seen a surge in the recent years. Primarily because it creates opportunities to engage with consumers along with integrating the health care system. Digital health technologies provide an evidence-based approach to treating patients. It uses many innovative tools and data science to formulate a customized disease prevention, detection, and treatment system. Also, it improves the effectiveness of the diagnosis and boosts sustainable health and well-being. Numerous health tracking applications are also gaining popularity among consumers. These apps track ‘user-reported’ food and water intake, steps walked and heartbeat monitors, sleeping patterns etc. Due to this Healthcare app Development Company are in demand now.

These technologies have tremendous potential to improve the health care system. Needless to say, there still are many challenges that need to be addressed. The quality of input data, consumer access to information and a regulatory oversight are some of the challenges. Direct – to – consumer or DTC genetic tests facilitate consumers to access information about their genetics; and that too without involving a healthcare professional in the process. Many DTC genomics companies have become increasingly common all thanks to the widespread opportunities to the patients to gain insights into their genetics.

Broad- Intel Genomics Stack offers a platform to enable researchers for better understanding the molecular drivers of ailments such as cancer. It also provides advance precision medicine for other diseases, thereby helping more patients around the globe. With a higher investment in medical research, medical innovators are looking forward to developing new devices and procedures to accelerate technologies like artificial intelligence in the field of advanced precision medicine.

Technological Breakthroughs in Precision Medicines:

  • Biomedical insights and life- saving discoveries are happening because of the data explosion owing to lower-cost genomic sequencing and technological insights.
  • High-tech and medicines are converging, the pace of innovation is higher than ever. Many patients have benefited from high-performance computing. Like in the case of genetic sequencing for cancer patients in one day, which earlier used to extend to one week.
  • New discoveries by genomic analytics have increased to a great extent. These discoveries can be integrated into clinical care settings for diagnosis and custom designed treatments for each individual patient.
  • Progress in the health and life science sectors depends on a strong, but a balanced patent system that promotes innovation and technical breakthroughs
  • Health innovation thrives in an interdependent and connected environment. This has removed all possibilities of low-quality patents and calls for a higher benchmark.

Conclusion

Digital health is a relatively young field and it is evolving rapidly. There still might be a few gaps, but key leaders can be engaged in directing and encouraging innovation. Many digital health apps collect a large amount of private data about their users, which may raise concerns about data privacy and security issues. To counter this threat, digital health application developers should proactively address privacy challenges. Evaluating potential privacy issues and creating a consumer-centric privacy policy that describes how customer data are used are some of the measures which might prove useful.

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