1.Could you tell our readers what your company will be showcasing at PrecisionMed Exhibition and Summit 2022?

At PrecisionMed Exhibition, Indus Health Plus will be showcasing their range of direct–to–consumer genetic testing products with special focus on our new offering MEDNAwise, a pharmacogenetic testing product.

2.Tell our readers about your company’s focus and products for the show.

Indus Health Plus’s focus has always been to offer contemporary preventive healthcare solutions at an affordable cost. We began our journey with a spectrum of preventive health check-ups and treatment packages that are offered to people across all age groups to fulfill the mission of Prevention by Detection. Next milestone was achieved in late 2018 with the launch of our first Consumer Genomics Product, DNAwise that focused on mission of Prevention by Prediction. Under DNAwise, we currently offer:
DNAwise Premium – a genetic risk prediction test for 80 Health, Nutrition, Finess and Habit related parameters
DNAwise Wellness – a spinoff product of DNAwise Premium targeted for fitness enthusiasts covering 34 Nutrition and Fitness related parameters
COVIDNAwise – a test for predicting genetic susceptibility to COVID-19 infection and its related complications.
We are now entering the exciting field of Precision Medicine with our germline pharmacogenetics test MEDNAwise, with which we want to further our vision of Prevention now with Precision.

3.Why is the Middle East a key area for your business?

Genomics based research and genetic testing have gained momentum in the Middle East region in the last few years due to the advent of high throughput and cost-effective technologies and increased awareness about benefits of genetic testing. A large amount of genomic data is now being generated for specific populations like GCC countries to address the increasing burden of genetic diseases. This makes the Middle East a key area for genomics-based service providers like Indus Health Plus. We have solutions like predictive genetic testing and pharmacogenetic testing that are needed for management of increased incidence of lifestyle diseases and provide personalized medicine choices in rapidly developing populations like the Middle East.

4.What is your silver lining during Covid-19?

In the Pre-Pandemic years, Indus Health Plus has been striving to create awareness about the importance of preventive healthcare and encourage individuals and families to go for preventive health check-ups. During COVID-19 pandemic, we saw people realizing the importance of maintaining good health and how going for regular health screenings can help them prevent and diagnose health conditions at early stages and take timely actions. COVID-19 has reiterated an important lesson that prior knowledge of your risks can empower you to manage it effectively.

5.How do you see the hospitals of tomorrow?

We have a vision that in the coming future every hospital must have a complete integration of various data points into a centralized system which can be accessed easily and quickly by all health care providers treating a patient. This must be comprehensive data including Clinical, Familial, Biochemical, and Molecular diagnostics data like genomics data, etc. This will help to improve overall patient outcomes, provide quicker diagnosis, solve many diagnostic odysseys, and provide timely, affordable and effective treatments. Such systems are already in place in some countries. However, despite the success of this model, it has not yet been widely implemented in many countries.

6.What healthcare technology do you think will make a big difference in the future?

IT and Cloud computing-based healthcare technologies that will facilitate data standardization, easy data access, data analysis, data sharing and data integration, are going to make a big difference. Another major advancement will be any progress made in the field of tele-healthcare.

7.As you look to the future, what is one innovation that really excites you?

Development of Artificial Intelligence (AI) and Machine Learning (ML) trained algorithms for disease diagnosis and for devising personalized treatment regimens are exciting innovations with promising future.