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Generative AI revolutionizing healthcare industry in new drug discovery, medical education & patient care: Expert
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Shardul Nautiyal, Mumbai
October 18 , 2023
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Generative artificial intelligence (AI) is revolutionizing the healthcare industry in various areas such as new drug discovery, medical education, and patient care, explains Anees Merchant, executive VP, Global Customer Growth & Success, Course5 Intelligence adding that its applicability goes beyond basic automation tasks like documentation and reporting.
“Generative AI’s ability to process huge volumes of data, extract insights and provide intelligent advice can help healthcare professionals with the huge workload of patient cases in a qualitative manner. It can also run simulations and even predict outcomes for medical researchers to detect new infections in a more effective manner,” Merchant further added.
Course5 Intelligence is an Indian Analytics, Insights and AI solutions company which is driving digital transformations for enterprises. It aims at enabling organizations to solve complex issues relating to their customers, markets and supply chain at speed and scale.
Merchant further explained that with the advent of AI and specifically Generative AI, personalization is becoming a fundamental differentiator. For instance, in the case of the headache, a diagnosis and prescription will be given based on various causes such as lack of sleep, food reactions, vertigo, etc. All reasons cannot be treated with the same medicine. Now, with the availability of more patient data, it is possible for Generative AI to create entire scenarios to simulate multiple outcomes and personas. This will allow medical professionals to administer a more personalized treatment on a case to case basis.
There is a lot of conversation in healthcare about drug, genome, and DNA discoverability. Today, the models that are there in Generative AI can enable discoverability. Besides discoverability, Generative AI is also about ‘co-creation’. The Covid-19 pandemic is a prime example. Vaccines and medicines, which usually took around ten years to reach the people, took less than eight months to reach the market. AI enabled researchers to digitally simulate compound composition in the vaccine and even do the same in the production flow.
“Basically, they worked on ‘Digital Twins’. Now with Generative AI, a laboratory professional can shorten research time, allow the system to do the groundwork, leaving the human to build on the findings further. Let's say, if it has taken 1 to 2 years to discover a compound in the past, it may take a few months or even weeks to do that now with Generative AI. Automation and augmentation will take this to the next level. Take the continuous glucose monitor (CGM) patch in healthcare as an example. It has not yet reached maturity but there are apps in India that can now let a doctor know a patient's health in a more detailed manner,” Merchant said.
“This is where ‘augmentation’ comes in. Recording doctor-patient conversations is part of the process in a country like the USA. Generative AI could listen to the electronic medical records (EMRs) and recommend scenarios, in real-time, based on the patient’s conversations, juxtapose it with historical data and virtual analysis of the possible causes. The machine would be able to help the doctor ask relevant questions, allowing the medical professional to make decisions quickly and accurately. The biggest issue used to be data, which we lacked. Phones allow us to capture more data than was possible before. Now synthetic data can also be created by Generative AI. Simulations can be created with synthetic data as well to get results. If done right, India can enable every citizen in India to drive healthcare in a very interesting way,” Merchant concluded.
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